Domain specific language for encoding assistant dialog

Description

FIELD

This relates generally to virtual assistants and, more specifically, to generating output dialogs for virtual assistants.

BACKGROUND

Intelligent automated assistants (or virtual assistants) provide an intuitive interface between users and electronic devices. These assistants can allow users to interact with devices or systems using natural language in spoken and/or text forms. For example, a user can access the services of an electronic device by providing a spoken user input in natural language form to a virtual assistant associated with the electronic device. The virtual assistant can perform natural language processing on the spoken user input to infer the user's intent and operationalize the user's intent into tasks. The tasks can then be performed by executing one or more functions of the electronic device, and a relevant output can be returned to the user in natural language form.

To generate the output in natural language form, conventional virtual assistants require that a developer specify the content and format of every possible natural language output (e.g., in full-sentence form), as well as the specific conditions that must be met for each output to be returned to the user. For example, a virtual assistant can be programmed to output the string “Your search returned <results.number> results” in response to a search query yielding multiple results, can be programmed to output the string “Your search returned one result” in response to a search query yielding one result, and can be programmed to output the string “Your search returned no results” in response to a search query yielding no results.

While conventional virtual assistants programmed in this way can produce relevant outputs in natural language form, the process of specifying the content and format of every possible natural language output can be time-consuming and can produce repetitive results.

SUMMARY

Systems and processes for operating a virtual assistant are disclosed. One example process can include accessing a textual representation of user speech, determining a response to the textual representation of user speech, generating a plurality of output segments based on the determined response to the textual representation of user speech, wherein each of the plurality of output segments comprises one or more words, and generating an output dialog based on the plurality of output segments and an order associated with the plurality of output segments.

BRIEF DESCRIPTION OF THE DRAWINGS

FIG. 1 illustrates an exemplary environment in which a virtual assistant can operate according to various examples.

FIG. 2 illustrates an exemplary user device according to various examples.

FIG. 3 illustrates a visual representation of an example dialog generation file that can be used to generate an output dialog of a virtual assistant according to various examples.

FIG. 4 illustrates a visual representation of an example output generation file and the output dialog that can be generated using the output generation file.

FIG. 5 illustrates an exemplary process for generating an output dialog for a virtual assistant according to various examples.

FIG. 6 illustrates an example conversation interface that can be displayed on a user device according to various examples.

FIG. 7 illustrates a functional block diagram of an electronic device configured to generate an output dialog for a virtual assistant according to various examples.

DETAILED DESCRIPTION

In the following description of examples, reference is made to the accompanying drawings in which it is shown by way of illustration specific examples that can be practiced. It is to be understood that other examples can be used and structural changes can be made without departing from the scope of the various examples.

For descriptive purposes, throughout this disclosure, software, software modules, software blocks, software objects, and the like may be described as performing various functions. One of ordinary skill in the art, however, will recognize that software may not actively perform any function and instead may include instructions that are executable on a computer processor. As such, although software may be described herein as performing a function, it should be appreciated that a computer processor or other computing device may typically perform those functions attributed herein to software modules, blocks, or objects by executing computer instructions provided by the software modules, blocks, or objects.

This relates to systems and processes for generating output dialogs for virtual assistants. An output dialog can be generated from multiple output segments that can each include a string of one or more characters or words. The contents of an output segment can be selected from multiple possible outputs based on a predetermined order, conditional logic, or a random selection. The output segments can then be concatenated to form the output dialog. In some examples, a dialog generation file that defines the possible outputs for each output segment, an ordering of the output segments within the output dialog, and format for the output dialog to be displayed or otherwise presented to a user can be used to generate the output dialog. The dialog generation file can include any number of functional blocks, which can each output an output segment, that can be arranged hierarchically and in a particular order to generate a desired output dialog.

System Overview

FIG. 1 illustrates exemplary system 100 for implementing a virtual assistant according to various examples. The terms “virtual assistant,” “digital assistant,” “intelligent automated assistant,” or “automatic digital assistant” can refer to any information processing system that interprets natural language input in spoken and/or textual form to infer user intent, and performs actions based on the inferred user intent. For example, to act on an inferred user intent, the system can perform one or more of the following: identifying a task flow with steps and parameters designed to accomplish the inferred user intent; inputting specific requirements from the inferred user intent into the task flow; executing the task flow by invoking programs, methods, services, APIs, or the like; and generating output responses to the user in an audible (e.g., speech) and/or visual form.

A virtual assistant can be capable of accepting a user request at least partially in the form of a natural language command, request, statement, narrative, and/or inquiry. Typically, the user request seeks either an informational answer or performance of a task by the virtual assistant. A satisfactory response to the user request can include provision of the requested informational answer, performance of the requested task, or a combination of the two. For example, a user can ask the virtual assistant a question, such as “Where am I right now?” Based on the user's current location, the virtual assistant can answer, “You are in Central Park.” The user can also request the performance of a task, for example, “Please remind me to call Mom at 4 p.m. today.” In response, the virtual assistant can acknowledge the request and then create an appropriate reminder item in the user's electronic schedule. During the performance of a requested task, the virtual assistant can sometimes interact with the user in a continuous dialogue involving multiple exchanges of information over an extended period of time. There are numerous other ways of interacting with a virtual assistant to request information or performance of various tasks. In addition to providing verbal responses and taking programmed actions, the virtual assistant can also provide responses in other visual or audio forms (e.g., as text, alerts, music, videos, animations, etc.).

An example of a virtual assistant is described in Applicants' U.S. Utility application Ser. No. 12/987,982 for “Intelligent Automated Assistant,” filed Jan. 10, 2011, the entire disclosure of which is incorporated herein by reference.

As shown in FIG. 1, in some examples, a virtual assistant can be implemented according to a client-server model. The virtual assistant can include a client-side portion executed on a user device 102, and a server-side portion executed on a server system 110. User device 102 can include any electronic device, such as a mobile phone, tablet computer, portable media player, desktop computer, laptop computer, PDA, television, television set-top box, wearable electronic device, or the like, and can communicate with server system 110 through one or more networks 108, which can include the Internet, an intranet, or any other wired or wireless public or private network. The client-side portion executed on user device 102 can provide client-side functionalities, such as user-facing input and output processing and communications with server system 110. Server system 110 can provide server-side functionalities for any number of clients residing on a respective user device 102.

Server system 110 can include one or more virtual assistant servers 114 that can include a client-facing I/O interface 122, one or more processing modules 118, data and model storage 120, and an I/O interface to external services 116. The client-facing I/O interface 122 can facilitate the client-facing input and output processing for virtual assistant server 114. The one or more processing modules 118 can utilize data and model storage 120 to determine the user's intent based on natural language input, and perform task execution based on inferred user intent. In some examples, virtual assistant server 114 can communicate with external services 124, such as telephony services, calendar services, information services, messaging services, navigation services, and the like, through network(s) 108 for task completion or information acquisition. The I/O interface to external services 116 can facilitate such communications.

Server system 110 can be implemented on one or more standalone data processing devices or a distributed network of computers. In some examples, server system 110 can employ various virtual devices and/or services of third-party service providers (e.g., third-party cloud service providers) to provide the underlying computing resources and/or infrastructure resources of server system 110.

Although the functionality of the virtual assistant is shown in FIG. 1 as including both a client-side portion and a server-side portion, in some examples, the functions of the assistant can be implemented as a standalone application installed on a user device. In addition, the division of functionalities between the client and server portions of the virtual assistant can vary in different examples. For instance, in some examples, the client executed on user device 102 can be a thin-client that provides only user-facing input and output processing functions, and delegates all other functionalities of the virtual assistant to a backend server.

User Device

FIG. 2 is a block diagram of a user device 102 according to various examples. As shown, user device 102 can include a memory interface 202, one or more processors 204, and a peripherals interface 206. The various components in user device 102 can be coupled together by one or more communication buses or signal lines. User device 102 can further include various sensors, subsystems, and peripheral devices that are coupled to the peripherals interface 206. The sensors, subsystems, and peripheral devices gather information and/or facilitate various functionalities of user device 102.

For example, user device 102 can include a motion sensor 210, a light sensor 212, and a proximity sensor 214 coupled to peripherals interface 206 to facilitate orientation, light, and proximity sensing functions. One or more other sensors 216, such as a positioning system (e.g., a GPS receiver), a temperature sensor, a biometric sensor, a gyroscope, a compass, an accelerometer, and the like, are also connected to peripherals interface 206, to facilitate related functionalities.

In some examples, a camera subsystem 220 and an optical sensor 222 can be utilized to facilitate camera functions, such as taking photographs and recording video clips. Communication functions can be facilitated through one or more wired and/or wireless communication subsystems 224, which can include various communication ports, radio frequency receivers and transmitters, and/or optical (e.g., infrared) receivers and transmitters. An audio subsystem 226 can be coupled to speakers 228 and a microphone 230 to facilitate voice-enabled functions, such as voice recognition, voice replication, digital recording, and telephony functions.

In some examples, user device 102 can further include an I/O subsystem 240 coupled to peripherals interface 206. I/O subsystem 240 can include a touch screen controller 242 and/or other input controller(s) 244. Touch-screen controller 242 can be coupled to a touch screen 246. Touch screen 246 and the touch screen controller 242 can, for example, detect contact and movement or break thereof using any of a plurality of touch sensitivity technologies, such as capacitive, resistive, infrared, and surface acoustic wave technologies, proximity sensor arrays, and the like. Other input controller(s) 244 can be coupled to other input/control devices 248, such as one or more buttons, rocker switches, a thumb-wheel, an infrared port, a USB port, and/or a pointer device such as a stylus.

In some examples, user device 102 can further include a memory interface 202 coupled to memory 250. Memory 250 can include any electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, a portable computer diskette (magnetic), a random access memory (RAM) (magnetic), a read-only memory (ROM) (magnetic), an erasable programmable read-only memory (EPROM) (magnetic), a portable optical disc such as CD, CD-R, CD-RW, DVD, DVD-R, or DVD-RW, or flash memory such as compact flash cards, secured digital cards, USB memory devices, memory sticks, and the like. In some examples, a non-transitory computer-readable storage medium of memory 250 can be used to store instructions (e.g., for performing some or all of process 500, described below) for use by or in connection with an instruction execution system, apparatus, or device, such as a computer-based system, processor-containing system, or other system that can fetch the instructions from the instruction execution system, apparatus, or device, and execute the instructions. In other examples, the instructions (e.g., for performing process 500, described below) can be stored on a non-transitory computer-readable storage medium of server system 110, or can be divided between the non-transitory computer-readable storage medium of memory 250 and the non-transitory computer-readable storage medium of server system 110. In the context of this document, a “non-transitory computer readable storage medium” can be any medium that can contain or store the program for use by or in connection with the instruction execution system, apparatus, or device.

In some examples, the memory 250 can store an operating system 252, a communication module 254, a graphical user interface module 256, a sensor processing module 258, a phone module 260, and applications 262. Operating system 252 can include instructions for handling basic system services and for performing hardware-dependent tasks. Communication module 254 can facilitate communicating with one or more additional devices, one or more computers, and/or one or more servers. Graphical user interface module 256 can facilitate graphic user interface processing. Sensor processing module 258 can facilitate sensor-related processing and functions. Phone module 260 can facilitate phone-related processes and functions. Application module 262 can facilitate various functionalities of user applications, such as electronic messaging, web browsing, media processing, navigation, imaging, and/or other processes and functions.

As described herein, memory 250 can also store client-side virtual assistant instructions (e.g., in a virtual assistant client module 264) and various user data 266 (e.g., user-specific vocabulary data, preference data, and/or other data, such as the user's electronic address book, to-do lists, shopping lists, etc.) to provide the client-side functionalities of the virtual assistant.

In various examples, virtual assistant client module 264 can be capable of accepting voice input (e.g., speech input), text input, touch input, and/or gestural input through various user interfaces (e.g., I/O subsystem 240, audio subsystem 226, or the like) of user device 102. Virtual assistant client module 264 can also be capable of providing output in audio (e.g., speech output), visual, and/or tactile forms. For example, output can be provided as voice, sound, alerts, text messages, menus, graphics, videos, animations, vibrations, and/or combinations of two or more of the above. During operation, virtual assistant client module 264 can communicate with the virtual assistant server using communication subsystem 224.

In some examples, virtual assistant client module 264 can utilize the various sensors, subsystems, and peripheral devices to gather additional information from the surrounding environment of user device 102 to establish a context associated with a user, the current user interaction, and/or the current user input. In some examples, virtual assistant client module 264 can provide the contextual information or a subset thereof with the user input to the virtual assistant server to help infer the user's intent. The virtual assistant can also use the contextual information to determine how to prepare and deliver outputs to the user.

In some examples, the contextual information that accompanies the user input can include sensor information, such as lighting, ambient noise, ambient temperature, images or videos of the surrounding environment, distance to another object, and the like. The contextual information can further include information associated with the physical state of user device 102 (e.g., device orientation, device location, device temperature, power level, speed, acceleration, motion patterns, cellular signal strength, etc.) or the software state of user device 102 (e.g., running processes, installed programs, past and present network activities, background services, error logs, resources usage, etc.). Any of these types of contextual information can be provided to the virtual assistant server 114 as contextual information associated with a user input.

In some examples, virtual assistant client module 264 can selectively provide information (e.g., user data 266) stored on user device 102 in response to requests from the virtual assistant server 114. Virtual assistant client module 264 can also elicit additional input from the user via a natural language dialogue or other user interfaces upon request by virtual assistant server 114. Virtual assistant client module 264 can pass the additional input to virtual assistant server 114 to help virtual assistant server 114 in intent inference and/or fulfillment of the user's intent expressed in the user request.

In various examples, memory 250 can include additional instructions or fewer instructions. Furthermore, various functions of user device 102 can be implemented in hardware and/or in firmware, including in one or more signal processing and/or application-specific integrated circuits.

Output Dialog Encoding

As mentioned above, system 100 can be used to implement a virtual assistant capable of interpreting natural language input in spoken and/or textual form to infer user intent, and performing actions based on the inferred user intent. In some examples, the performed actions can include generating and outputting an output dialog in text and/or audio form. For example, in response to the query “What is the temperature in New York?”, a virtual assistant implemented on a user device can display the text “The temperature in New York is 72° F.” In order for the virtual assistant to produce this output dialog in natural language form, instructions that define the contents and format of the dialog can be provided to the virtual assistant. FIG. 3 shows a visual representation of a dialog generation file 300 that can be used to provide a virtual assistant with such information.

Generally, dialog generation file 300 can be used to generate an output dialog (e.g., “Good morning, John.”) by defining multiple output segments that represent a portion of the output dialog (e.g., a first output segment “Good morning,” and a second output segment “John.”). Dialog generation file 300 can further define the possible outputs that can be used in each output segment (e.g., “Good morning,” “Good afternoon,” or “Good evening,” for the first output segment), how to select one of the possible output segments, and how to format the output segments to generate the output dialog. As discussed in greater detail below, dialog generation file 300 can define these parameters for generating the output dialog using various types of functional blocks 302-310 arranged hierarchically and/or in a particular order to generate a desired output dialog.

As shown in FIG. 3, dialog generation file 300 can include multiple types of functional blocks 302-310 that can output or return an output segment of text. An output segment of text can include a string of one or more characters or words and can be ordered amongst the other output segments of text based on an ordering of the functional blocks within dialog generation file 300. In some examples, the output dialog can be generated by concatenating the output segments of text based on the order of the output segments. For example, if dialog generation file 300 includes random block 305 outputting the output segment of text “Hi,” followed by text block 302 outputting the output segment of text “how are you doing?”, the output dialog generated from dialog generation file 300 can include the text “Hi, how are you doing?”.

Dialog generation file 300 can include any number of and type of functional blocks. In some examples, the functional blocks can be arranged in a hierarchy such that one functional block (e.g., the child functional block) is included within another functional block (e.g., the parent functional block). In these examples, the output segment of text output by the child functional block can be returned as an input to the parent functional block and used by the parent functional block in a manner that depends on a type of the parent functional block (e.g., a type corresponding to blocks 302-310, described below). In some examples, a functional block can include any number of other functional blocks. Additionally, the hierarchy formed by the nested functional blocks can include any number of levels. For example, a first functional block can be included within a second functional block, which can be included within a third functional block, and so on.

One type of functional block that can be included in dialog generation file 300 is text block 302. Text block 302 can be configured to include desired text represented as a predetermined string of characters or words, such as “Good morning,” and/or a variable representing a number or a string of characters or words, such as <name> having a value of “John.” The formatting of the predetermined string of characters or words with a variable (e.g., “Good morning,”<name>) can be referred to as a “template.” When executed, text block 302 can be configured to output the included text as an output segment of text. For example, a text block 302 that includes the text “Okay, here are your search results:” can output that text as an output segment of text when executed.

Dialog generation file 300 can further include first block 303, which can be configured to include an ordered list of one or more options (e.g., Option 1, Option 2, and Option 3). Each option can include one or more of the functional blocks shown in FIG. 3. When executed, first block 303 can select the first option (Option 1) from the ordered list and can call the functional block associated with that option. First block 303 can then output the text received from the called functional block (e.g., the output segment produced by the called functional block) as an output segment of text. If the selection of the first option is successful (e.g., successfully calls another functional block), the operation of first block 303 can end. However, if the selection of the first option fails, first block 303 can then attempt to select the next option from the ordered list (Option 2). This process can repeat for all options in the ordered list until an option is successfully selected. In the event that no option is successfully selected, first block 303 can return an error. While first block 303 is shown having three options, it should be appreciated that first block 303 can include any number of options.

To illustrate the operation of first block 303, Option 1 of first block 303 can include a text block 302 that includes the text “Hello,” Option 2 of first block 303 can include a text block 302 that includes the text “Hi,” and Option 3 of first block 303 can include switch block 304 (described below). Upon execution, first block 303 can first attempt to call the first text block 302 and output the text “Hello” returned by the first text block 302 as an output segment of text. If successful, the operation of block 303 can end. However, if unable to output the text “Hello” as an output segment of text for any reason, first block 303 can then attempt to call the second text block 302 and output the text “Hi” returned by the second text block 302 as an output segment of text. If successful, the operation of block 303 can end. However, if unable to output the text “Hi” as an output segment of text for any reason, first block 303 can then attempt to call switch block 304. If switch block 304 is successfully executed and returns a text output, first block 303 can output the text returned from switch block 304 as an output segment of text and the operation of block 303 can end. However, if unable to successfully call switch block 304 for any reason, first block 303 can return an error because it reached the end of its ordered list without successfully selecting one of the three options.

Dialog generation file 300 can further include switch block 304, which can be configured to include an input parameter (e.g., <parameter>) and a list of one or more choices (e.g., Option 1, Option 2, and Option 3) that are associated with potential values of the input parameter (e.g., <A> and <B>) or a default condition (e.g., Default). Each option can include one of the functional blocks shown in FIG. 3. When executed, switch block 304 can select one of the options based on the value of the input parameter matching an associated value of one of the options and can call the functional block associated with that option. Switch block 304 can then output the text received from the called functional block (e.g., the output segment produced by the called functional block) as an output segment of text. For example, switch block 304 can select Option 1 if the value of <parameter> is equal to the value of <A>, can select Option 2 if the value of <parameter> is equal to the value of <B>, and can select Option 3 if the value of <parameter> is not equal to the values of <A> or <B>. While switch block 304 is shown as having three options, it should be appreciated that switch block 304 can include any number of options.

In some examples, <parameter> can include any desired variable representing information that is to be presented to the user (e.g., search query results, etc.) or contextual information, such as sensor information, information associated with the physical state of a user device, information associated with a software state of the user device, or the like. For example, the contextual information can include a type of user device used to operate the virtual assistant, an operational state of the user device, a current time, a location of the user device, an orientation of the user device, or an orientation of a user with respect to the user device.

To illustrate the operation of switch block 304, <parameter> of switch block 304 can represent a number of results generated from a search query, <A> can represent the value 0, Option 1 of switch block 304 can include a text block 302 that includes the text “Your search produced no results,”<B> can represent the value 1, Option 2 of switch block 304 can include a text block 302 that includes the text “Your search produced 1 result,” and Option 3 of switch block 304 can include a text block 302 that includes the text “Your search produced multiple results.” In this example, switch block 304 can call the first text block 302 and output the text “Your search produced no results” returned by the first text block 302 as an output segment of text if the number of results generated from the search query is 0 (<parameter>==0), can call the second text block 302 and output the text “Your search produced 1 result” returned by the second text block 302 as an output segment of text if the number of results generated from the search query is 1 (<parameter>==1), and can call the third text block 302 and output the text “Your search produced no results” returned by the third text block 302 as an output segment of text if the number of results generated from the search query is not equal to 0 or 1 (<parameter>!=0 && <parameter>!=1).

Dialog generation file 300 can further include random block 305, which can be configured to include a list of one or more options (e.g., Option 1, Option 2, and Option 3). Each option can include one of the functional blocks shown in FIG. 3. When executed, random block 305 can randomly select one of the options from its list and can call the functional block associated with that option. Random block 305 can then output text received from the called functional block (e.g., the output segment produced by the called functional block) as an output segment of text. If the selection of the randomly selected block is successful (e.g., successfully calls another functional block), the operation of random block 305 can end. However, if the selection of the randomly selected block fails, random block 305 can randomly select another option from the list that was not previously selected. This process can repeat until an option is successfully selected. In the event that no option is successfully selected and there are no options remaining in the list that were not previously selected, random block 305 can return an error. While random block 305 is shown having three options, it should be appreciated that random block 305 can include any number of options.

In some examples, the options of random block 305 can be assigned a weighting factor that can be used by random block 305 to increase or decrease the probability that a particular option is selected. In the absence of assigned weighting factors, the probability of selecting each option can be the same (e.g., equal weighting factors for all options).

To illustrate the operation of random block 305, Option 1 of random block 305 can include a text block 302 that includes the text “Hello,” Option 2 of random block 305 can include a text block 302 that includes the text “Hi,” and Option 3 of random block 305 can include switch block 304. Upon execution, random block 305 can randomly select one of the options (e.g., Option 2) and attempt to call the second text block 302 and output the text “Hi” returned by the second text block 302 as an output segment of text. If successful, the operation of random block 305 can end. However, if unable to output the text “Hi” as an output segment of text for any reason, random block 305 can then randomly select another option from the list that was not previously selected (e.g., select from Option 1 and Option 3). If the random selection results in a selection of Option 1, random block 305 can attempt to call the first text block 302 and output the text “Hello” returned by the first text block 302 as an output segment of text. If successful, the operation of random block 305 can end. However, if unable to output the text “Hello” as an output segment of text for any reason, random block 305 can then randomly select another option from the list that was not previously selected (e.g., select from Option 3). Since Option 3 is the only remaining option that was not previously selected, random block 305 can select Option 3 and attempt to call switch block 304. If switch block 304 is successfully executed and returns a text output, random block 305 can output the text returned from switch block 304 as an output segment of text and the operation of random block 305 can end. However, if unable to successfully call switch block 304 for any reason, random block 305 can return an error because no options were successfully selected and no options remain in the list that were not previously selected.

Dialog generation file 300 can further include opt block 306, which is an optional block that can be used to ignore any failures returned by one of its included functional blocks, such as first block 303 and random block 305. Opt block 306 can include one or more of the functional blocks shown in FIG. 3. When executed, opt block 306 can call the functional blocks contained therein and can output text received from the called functional blocks as an output segment of text. If a functional block included within opt block 306 returns an error (e.g., first block 303 or random block 305 runs out of options), opt block 306 can ignore that error to prevent the error from stopping the generation of the output dialog.

To illustrate the operation of opt block 306, opt block 306 can include first block 303, which can include Option 1 having a text block 302 that includes the text “Hello,” Option 2 having a text block 302 that includes the text “Hi,” and Option 3 having a text block 302 that includes the text “Greetings.” Upon execution, opt block 306 can call first block 303, which can first attempt to call the first text block 302 and output the text “Hello” returned by the first text block 302 as an output segment of text. If successful, first block 303 can return the text “Hello” to opt block 306, which can then output the text “Hello” as an output segment of text. However, if unable to output the text “Hello” as an output segment of text for any reason, first block 303 can then attempt to call the second text block 302 and output the text “Hi” returned by the second text block 302 as an output segment of text. If successful, first block 303 can return the text “Hi” to opt block 306, which can then output the text “Hi” as an output segment of text. However, if unable to output the text “Hi” as an output segment of text for any reason, first block 303 can then attempt to call the third text block 302 and output the text “Greetings” returned by the third text block 302 as an output segment of text. If successful, first block 303 can return the text “Greetings” to opt block 306, which can then output the text “Greetings” as an output segment of text. However, if unable to output the text “Greetings” as an output segment of text for any reason, first block 303 can return an error to opt block 306 because it reached the end of its ordered list without successfully selecting one of the three options. Opt block 306 can ignore the error and the operation of opt block 306 can end without outputting or returning an output segment of text.

Dialog generation file 300 can further include conditional block 307, which is a functional block that can include one or more of the functional blocks shown in FIG. 3 and can be executed only when a conditional statement associated with conditional block 307 is satisfied. For example, conditional block 307 can be associated with the conditional if-statement (if A==B). In this example, conditional block 307 can only be executed if A is equal to B. If A is not equal to B, conditional block 307 (and any functional blocks included within conditional block 307) may not be executed. When executed, conditional block 307 can call the functional blocks contained therein and can output text received from the called functional blocks as an output segment of text.

In some examples, the conditional statement associated with conditional block 307 can be based on information that is to be presented to the user (e.g., search query results, etc.) or contextual information, such as sensor information, information associated with the physical state of a user device, information associated with a software state of the user device, or the like. For example, the contextual information can include a type of user device used to operate the virtual assistant, an operational state of the user device, a current time, a location of the user device, an orientation of the user device, or an orientation of a user with respect to the user device.

To illustrate the operation of conditional block 307, conditional block 307 can be associated with the if-statement (if name==available) and can include a text block 302 that includes the text <name>. In this example, if the user's name is available, then conditional block 307 can be executed and can call text block 302 and output the value of <name> returned by text block 302 as an output segment of text. Alternatively, if the user's name is not available, then conditional block 307 may not be executed and no output segment of text may be generated by conditional block 307.

Typically, any output segment of text generated by text block 302, first block 303, switch block 304, random block 305, opt block 306, and conditional block 307 can be identified as being both a spoken output and a printed output (e.g., the text can be presented to the user in both audio and visual format by a user device). To cause the string of words or characters in an output segment to be only printed (e.g., only displayed to the user), dialog generation file 300 can include print only block 308. Print only block 308 can include one or more of the functional blocks shown in FIG. 3. When executed, print only block 308 can call the functional blocks contained therein and can output text returned from the called functional blocks as an output segment of text. However, unlike the other functional blocks of FIG. 3, print only block 308 can identify its output segment of text as being text that should only be printed (e.g., displayed) when presented to the user.

To illustrate the operation of print only block 308, print only block 308 can include a text block 302 that includes the text “Good afternoon.” In this example, print only block 308 can call text block 302 and output the text “Good afternoon” returned by text block 302 as an output segment of text that is identified as being only a printed output.

Similarly, to cause the string of words or characters in an output segment to be only spoken (e.g., only audibly read to the user), dialog generation file 300 can include speak only block 309. Speak only block 309 can include one or more of the functional blocks shown in FIG. 3. When executed, speak only block 309 can call the functional blocks contained therein and can output text returned from the called functional blocks as an output segment of text. However, unlike the other functional blocks of FIG. 3, speak only block 309 can identify its output segment of text as being text that should only be spoken (e.g., audibly presented) when presented to the user.

To illustrate the operation of speak only block 309, speak only block 300 can include a text block 302 that includes the text “Good afternoon.” In this example, speak only block 309 can call text block 302 and output the text “Good afternoon” returned by text block 302 as an output segment of text that is identified as being only a spoken output.

Dialog generation file 300 can further include break block 310, which represents a break function that indicates a separation in the formatting of the output dialog. For example, if the output dialog is intended to be displayed within a speech bubble, the break function of break block 310 can indicate that a new speech bubble should be created for the output segments of text following the break.

Since a dialog generation file 300 can be used to generate an output dialog for conveying a particular type of information or message to a user, multiple different dialog generation files 300 can be created to generate output dialogs that are appropriate for a variety of situations. Additionally, since dialog generation file 300 can be language-specific, a different dialog generation file 300 can be created for each language in which an output dialog is to be created.

While dialog generation file 300 is shown and described above as having functional blocks performing various functions, it should be appreciated that dialog generation file 300 can be implemented using any desired programming language. In some examples, a markup-based language, such as XML, can be used.

FIG. 4 illustrates a visual representation of an example dialog generation file 400 that can be used to generate output dialog 432 using the functional blocks 302-310 shown in FIG. 3. As shown in FIG. 4, dialog generation file 400 includes hierarchically structured functional blocks 401-414. The functional blocks are arranged in order from left to right, and functional blocks contained within other functional blocks represent functional blocks that are child functional blocks to the enclosing parent functional blocks. Additionally, functional blocks 401-414 having names matching those of the functional blocks shown in FIG. 3 can represent instances of those functional blocks.

When a call is made to dialog generation file 400 to create output dialog 432, the first block in the highest level of the hierarchy (opt block 401) can be executed. When executed, opt block 401 can call random block 402 contained therein. Random block 402 can then randomly select one of text block 403, 404, and 405 based on their associated weighting factors (e.g., weighting factors 50, 30, and 20). For example, text block 403 can have a 50% chance of being selected, text block 404 can have a 30% chance of being selected, and text block 405 can have a 20% chance of being selected. Once random block 402 randomly selects one of the text blocks, a call can be made to the selected text block. For example, if text block 405 is selected, text block 405 can be called. In response, text block 405 can return the text “Hi” to random block 402. Random block 402 can then return the text “Hi” to opt block 401. Opt block 401 can then output the text “Hi” as an output segment of text. Since opt block 401 is a functional block at the highest level of the functional block hierarchy, the output segment of text generated by opt block 401 can represent an output segment 430 of dialog generation file 400.

In some examples, the weighted random function performed by random block 402 can consider weights (some of which can be defaults) of all blocks within the random block to determine the random selection. For example, if random block 402 includes three elements having weights 2, 5, and 42, then the elements can have a probability of being selected of 2/49, 5/49, and 42/49, respectively.

Upon completion of opt block 401, execution can proceed to the next functional block in the highest level of the hierarchy (print only block 406). When executed, print only block 406 can call first block 407 contained therein. First block 407 can then select and call the functional block associated with its first option (conditional block 408). If successful, first block 407 can return the text received from conditional block 408 to print only block 406. However, if the selection of conditional block 408 fails (e.g., if the variable <user> is not available), the first block 407 can attempt to call text block 410 and output the text received from text block 410 to print only block 407. For example, if the variable <name> (representing the value “John”) is available, conditional block 408 can call text block 409. Text block 409 can return the text “, John.” to conditional block 408, which can then return the text “, John.” to print only block 406. Print only block 406 can then output the text “, John.” as an output segment of text that is identified as being a print only output. Since print only block 406 is a functional block at the highest level of the functional block hierarchy, the output segment of text generated by print only block 406 can represent an output segment 430 of dialog generation file 400.

Upon completion of print block 406, execution can proceed to the next functional block in the highest level of the hierarchy (speak only block 411). When executed, speak only block 411 can call switch block 412 contained therein. Switch block 412 can then select and call the functional block associated with one of its two options based on the value of the variable <AM/PM>. Switch block 412 can then return the text received from the called functional block to speak only block 411. For example, if the variable <AM/PM> represents the value “AM,” switch block 412 can call text block 413. Text block 413 can return the text “How are you doing this morning” to switch block 412, which can then return the text “How are you doing this morning” to speak only block 411. Speak only block 411 can then output the text “How are you doing this morning” as an output segment of text that is identified as being a speak only output. Since speak only block 411 is a functional block at the highest level of the functional block hierarchy, the output segment of text generated by speak only block 411 can represent an output segment 430 of dialog generation file 400.

Upon completion of all of the functional blocks at the highest level of the hierarchy, an output dialog 432 can be generated based on the output segments 430 of the dialog generation file 400. The output segments 430 can have an associated ordering based on the order of the functional blocks (that generated them) within dialog generation file 400. For example, the output segment containing “Hi” output by opt block 401 can be first, the output segment containing “, John.” output by print only block 406 can be second, and the output segment containing “How are you doing this morning?” output by speak only block 411 can be third. Output dialog 432 can be generated by concatenating output segments 430 in order from the first output segment to the last. Thus, output dialog 432 can include “Hi, John. How are you doing this morning?”. When presented to the user, the words “Hi, John” can be displayed to the user. The words “Hi. How are you doing this morning?” can be spoken to the user.

As illustrated by the example shown in FIG. 4, the output segments 430 used to create output dialog 432 can be created independent of each other. For example, the generation of one output segment may not depend on the generation of another segment. In other examples, one output segment 430 can be generated using a conditional statement that depends on the generation of another output segment 430.

Output Dialog Generation

FIG. 5 illustrates an exemplary process 500 that can be performed to generate an output dialog. In some examples, process 500 can be performed using a system similar or identical to system 100, shown in FIG. 1.

At block 502, an audio input including user speech can be received at a user device. In some examples, a user device (e.g., user device 102) can receive audio input that includes a user's speech via a microphone (e.g., microphone 230). The microphone can convert the audio input into an analog or digital representation, and provide the audio data to one or more processors (e.g., processor(s) 204). In some examples, the user device can transmit data representing the audio input to one or more servers, such as server system 110.

At block 504, the user speech of the audio input can be converted into a textual representation of the user speech. The user speech can be converted using any known speech-to-text conversion process. In some examples, the user speech can be converted into the textual representation locally on the user device 102. In other examples where the user device transmits data representing the audio input to one or more servers for processing, the one or more servers can receive the data representing the audio input and can instead perform the speech-to-text conversion process.

At block 506, the textual representation of user speech generated at block 504 can be received or accessed, and a response to the textual representation can be determined. The response can include information that is to be provided to the user in response to the textual representation of user speech. For example, a response to a search query can include information relating to the search query results (e.g., number of results, the actual results, etc.). The response can further include an identification of a dialog generation file that is to be used to format the output dialog to convey some or all of the information of the response to the user.

In some examples, determining the response to the textual representation can include determining a user intent based on the textual representation of user speech. As discussed in greater detail in Applicants' U.S. Utility application Ser. No. 12/987,982 for “Intelligent Automated Assistant,” filed Jan. 10, 2011, determining user intent can include analyzing, by processing modules 118, the textual representation of user speech to identify a set of syntactic or semantic parse results. The syntactic parse results can include parse results that associate data in the user input with structures that represent syntactic parts of speech, clauses, and phrases including multiword names, sentence structure, and/or other grammatical graph structures. The semantic parse results can include parse results that associate data in the user input with structures that represent concepts, relationships, properties, entities, quantities, propositions, and/or other representations of meaning and user intent. Determining user intent can further include disambiguating among alternative syntactic or semantic parse results based on the contextual representation of user speech, other user input, and/or contextual information.

Determining the response to the textual representation of user speech can further include identifying a task flow based on the determined user intent and executing the identified task flow. The task flow can include a set of steps and associated parameters to accomplish the determined user intent. In some examples, the task flow can include the step of selecting an appropriate dialog generation file for outputting the results of the task flow to the user. The dialog generation file can be selected based on the type of information that is to be provided to the user, the user's native language, other contextual information, and the like. The steps of the task flow can be executed by invoking programs, methods, services, APIs, or the like.

At block 508, a plurality of output segments can be generated based on the response determined at block 506. The output segments can include a string of one or more characters or words that can be used to generate the output dialog presented to the user. In some examples, one or more of the output segments can be generated by selecting one output from multiple possible outputs. Each output can include a string of one or more characters or words and/or a variable. For example, a first possible output for an output segment can include “Hello,” a second possible output for the output segment can include “Hi,” and a third possible output for the output segment can include “Hi,”<user>, where <user> is a variable representing the user's name. Thus, generating the output segment can include selecting one of the three possible outputs and using the selected output as the output segment.

In some examples, the dialog generation file selected at block 506 can be used to generate the plurality of output segments. The type, content, and ordering of the functional blocks within the dialog generation file can define the possible outputs for each output segment, an ordering of the output segments within the output dialog, and format for the output dialog to be displayed or otherwise presented to a user and it can be used to generate the output dialog. As discussed above with respect to FIGS. 3-4, the functional blocks at the highest level of the hierarchy in the dialog generation file (and their child functional blocks) can be executed based on their respective ordering in the file to generate the plurality of output segments.

In some examples, an output segment can be generated based on a random block of the dialog generation file to randomly select an output from multiple outputs as discussed above with respect to FIGS. 3-4. The multiple outputs can be uniformly or non-uniformly weighted using weighting factors associated with the outputs. In other examples, an output segment can also be generated based on a first block of the dialog generation file to select an output from multiple outputs based on a predetermined order of the multiple outputs as discussed above with respect to FIGS. 3-4. In yet other examples, an output segment can be generated based on a switch block of the dialog generation file to select an output from multiple outputs based on a value of an input parameter as discussed above with respect to FIGS. 3-4.

In some examples, some or all of the possible outputs for an output segment can be associated with a conditional statement of a conditional block and the output can be selected from the plurality of possible outputs based on whether or not the condition is satisfied as discussed above with respect to FIGS. 3-4. The conditional statement can depend on the information to be provided to the user determined at block 506 and/or contextual information, such as sensor information, information associated with the physical state of a user device, information associated with a software state of the user device, or the like. For example, the contextual information can include a type of user device used to operate the virtual assistant, an operational state of the user device, a current time, a location of the user device, an orientation of the user device, or an orientation of a user with respect to the user device.

In some examples, the functional blocks of the dialog generation file can further define a format for outputting the plurality of output segments to an output dialog. For example, an output segment generated from a print only block can be tagged as being an output segment that should only be displayed to a user. An output segment generated from a speak only block can be tagged as being an output segment that should only be audibly spoken to a user. Additionally, a break block can indicate that an audio and/or visual break should be included between the output segment generated from the previous functional block and the output segment generated from the subsequent output block.

In some examples, the output segments can be created independent of each other. For example, the generation of one output segment may not depend on the generation of another segment. In other examples, one output segment can be generated using a conditional statement that depends on the generation of another output segment, or a condition can be placed on a functional block included within a random block.

At block 510, an output dialog can be generated based on the plurality of segments. In some examples, generating the output dialog can include concatenating the plurality of output segments based on an order of the output segments. For example, if a first output segment includes “Hi,” a second output segment includes “,”<user>, and a third output segment includes “. How are you doing today?”, generating the output dialog based on these three output segments can include concatenating them based on their order (e.g., first, second, and third) to produce the output dialog “Hi, John. How are you doing today?”.

In some examples, as mentioned above, the output segments can be identified as being only a spoken output, only a printed output, or both a spoken and printed output. In these examples, generating the output dialog can include generating a spoken output dialog by concatenating the output segments identified as being only a spoken output, generating a printed output dialog by concatenating the output segments identified as being only a printed output, and generating a spoken and printed output dialog by concatenating the output segments identified as being both a printed and spoken output. Alternatively, a single output dialog can be generated and the words corresponding to the spoken only outputs can be tagged or otherwise identified as being only spoken, the words corresponding to the printed only outputs can be tagged or otherwise identified as being only printed, and the words corresponding to the printed and spoken outputs can be tagged or otherwise identified as being both spoken and printed.

In some examples, as mentioned above, process 500 can include tagging one or more words of the textual user input using synonyms or can include mapping a word, or a synonym for that word, to a single semantic value, and from that value to a grammatically appropriate synonym for textual output. In these examples, generating the output dialog at block 510 can include replacing an occurrence of a tagged word with the synonym or alternate word of the tag. For example, if the textual representation of user speech received at block 502 included “Forward the message to John”, the word “message” may have been tagged with the word “email.” If the plurality of output segments generated at block 508 included a first output segment “Your message has been forwarded to” and a second output segment “John”, block 510 can include concatenating the first and second segments to form the output dialog, “Your message has been forwarded to John.” Block 510 can further include replacing the word “message” with the word “email” based on the tag to form the output dialog, “Your email has been forwarded to John.” Alternatively, the word “message” can be replaced with the word “email” in the output segment prior to concatenating the segments.

In some examples, process 500 can further include transmitting the output dialog generated at block 510 to a user device. The user device can receive the output dialog and present it to the user. In some examples, the output dialog can be displayed to the user on a display of the user device and/or presented to the user in audio form. For example, as mentioned above, the output segments can be identified as being only a spoken output, only a printed output, or both a spoken and printed output. In some examples, the output dialog can be identified as being a spoken output dialog, a printed output dialog, and a spoken and printed output dialog. The spoken output dialog can be presented to the user in audio form, but not displayed. The printed output dialog can be displayed to the user, but not presented to the user in audio form. The spoken and printed output dialog can be presented to the user in audio form and displayed to the user. In other examples, a single output dialog having words tagged or otherwise identified as being only spoken, only printed, or both spoken and printed can be received. In these examples, the words tagged or otherwise identified as being only spoken can be presented to the user in audio form, but not displayed. The words tagged or identified as being only printed can be displayed to the user, but not presented in audio form. The words tagged or identified as being both spoken and printed can be presented to the user in audio form and displayed to the user.

In some examples, as mentioned above, the output dialog can include formatting information that details how the output dialog should be presented to the user. For example, an output dialog can include breaks that represent separations in the output dialog that should be displayed or otherwise conveyed to the user. For example, a break in an output dialog can indicate that a new speech bubble or other visual indication of a break in the output dialog should be created for the text following the break. FIG. 6 illustrates an exemplary conversation interface 600 between a user and a virtual assistant. As shown, a textual representation of a user's spoken input is represented by speech bubble 602. The virtual assistant's output dialog response is represented by speech bubbles 604 and 606. In this example, the output dialog provided to the user device can include “Hi, John.”<break>“How are you doing this morning?”. The <break> in the output dialog can be generated from a break block to indicate to the user device that a new speech bubble 606 should be created to display the text following the <break>. The conversation shown in conversation interface 600 can be generated from dialog generation file 400 if a break block is inserted between print only block 406 and speak only block 411.

Using process 500, an output dialog can be generated by forming and combining multiple output segments. Each output segment can be configured to be populated with one of multiple strings of characters or words to provide an output that can be dynamically generated based on the information being provided to the user and/or contextual information. Generating output dialogs in this way also obviates the need to program a virtual assistant with every candidate sentence that is to be output by the virtual assistant.

It should be appreciated that the blocks of process 500 can be performed on user device 102, server system 110, or a combination of user device 102 and server system 110. For instance, in some examples, all blocks of process 500 can be performed on user device 102. In other examples, all blocks of process 500 can be performed at server system 110. In yet other examples, some blocks of process 500 can be performed at user device 102, while other blocks of process 500 can be performed at server system 110.

Electronic Device

In accordance with some examples, FIG. 7 shows a functional block diagram of an electronic device 700 configured in accordance with the principles of the various described examples. The functional blocks of the device can be implemented by hardware, software, or a combination of hardware and software to carry out the principles of the various described examples. It is understood by persons of skill in the art that the functional blocks described in FIG. 7 can be combined or separated into sub-blocks to implement the principles of the various described examples. Therefore, the description herein optionally supports any possible combination or separation or further definition of the functional blocks described herein.

As shown in FIG. 7, electronic device 700 can include a touch screen display unit 702 configured to display a user interface and to receive touch input, and a sound receiving unit 704 configured to receive sound input. In some examples, electronic device 700 can include a speaker unit 706 configured to generate sound. Electronic device 700 can further include a processing unit 708 coupled to touch screen display unit 702 and sound receiving unit 704 (and, optionally, coupled to speaker unit 706). In some examples, processing unit 708 can include a text accessing unit 710, a response determination unit 712, an output segment generation unit 714, an output dialog generation unit 716, a tagging unit 718, an audio data receiving unit 720, a speech to text conversion unit 722, and a transmitting unit 724.

Processing unit 708 can be configured to access a textual representation of user speech (e.g., using text accessing unit 710). Processing unit 708 can be further configured to determine (e.g., using response determination unit 712) a response to the textual representation of user speech. Processing unit 708 can be further configured to generate (e.g., output segment generation unit 714) a plurality of output segments based on the determined response to the textual representation of user speech, wherein each of the plurality of output segments comprises one or more words. Processing unit 708 can be further configured to generate (e.g., output dialog generation unit 716) an output dialog based on the plurality of output segments and an order associated with the plurality of output segments.

In some examples, processing unit 708 can be configured to determine the response to the textual representation of user speech by determining (e.g., using response determination unit 712) a user intent based on the textual representation of user speech; identifying a task flow based on the determined user intent; and executing the identified task flow to determine the response to the textual representation of user speech.

In some examples, processing unit 708 can be configured to generate the plurality of output segments (e.g., using output segment generation unit 714) based on the determined response to the textual representation of user speech by selecting an output from a plurality of possible outputs for an output segment of the plurality of output segments, the selected output comprising the one or more words of the output segment.

In some examples, processing unit 708 can be configured to select (e.g., using output segment generation unit 714) the output randomly from the plurality of possible outputs.

In some examples, each of the plurality of possible outputs can be associated with a weighting factor, and wherein processing unit 708 can be configured to select (e.g., using output segment generation unit 714) the output randomly from the plurality of possible outputs based on the weighting factors.

In some examples, processing unit 708 can be configured to select (e.g., using output segment generation unit 714) the output from the plurality of possible outputs based on a predetermined order of the plurality of possible outputs.

In some examples, the plurality of possible outputs are associated with one or more conditions, and wherein processing unit 708 can be configured to select (e.g., using output segment generation unit 714) the output from the plurality of possible outputs further based on whether or not the one or more conditions are satisfied.

In some examples, the response to the textual representation of user speech can include information to be provided in response to the textual representation of user speech, and wherein the one or more conditions depend on the information to be provided in response to the textual representation of user speech. The one or more conditions can depend on contextual information. In some examples, the contextual information can include a type of user device used to operate the virtual assistant, an operational state of the user device, a current time, a location of the user device, an orientation of the user device, or an orientation of a user with respect to the user device.

In some examples, the response to the textual representation of user speech can include an identification of a dialog generation file, and wherein the dialog generation file defines: the order of the plurality of output segments; and possible outputs for each of the plurality of output segments.

In some examples, each of the possible outputs can be defined using a template, and wherein each template comprises one or more of a string of words and a variable word.

In some examples, the dialog generation file can further define a format for displaying the output dialog.

In some examples, each output segment of the plurality of output segments can be identified as being a spoken output segment or a printed output segment, and wherein processing unit 708 can be configured to generate the output dialog (e.g., using output dialog generation unit 716) by generating a spoken output dialog based on output segments identified as being a spoken output segment; and generating a printed output dialog based on output segments identified as being printed output segments.

In some examples, processing unit 708 can be configured to generate (e.g., using output segment generation unit 714) each output segment of the plurality of output independent of the other output segments.

In some examples, processing unit 708 can be configured to generate (e.g., using output dialog generation unit 716) the output dialog based on the plurality of output segments by concatenating the plurality of output segments.

In some examples, processing unit 708 can be configured to tag (e.g., using tagging unit 718), after accessing the textual representation of user speech and before determining the response to the textual representation of user speech, a word of the user speech with a dialog tag.

In some examples, the dialog tag can include a synonym of the tagged word.

In some examples, processing unit 708 can be configured to receive (e.g., using audio data receiving unit 720), before accessing the textual representation of user speech, data corresponding to an audio input comprising user speech from a user device; perform (e.g., using speech to text conversion unit 722), before accessing the textual representation of user speech, speech to text conversion on the data corresponding to the audio input to generate the textual representation of user speech; and transmit (e.g., using transmitting unit 724), after generating the output dialog, the output dialog to the user device.

As described above, one aspect of the present technology is the gathering and use of data available from various sources to improve the delivery to users of invitational content or any other content that may be of interest to them. The present disclosure contemplates that in some instances, this gathered data can include personal information data that uniquely identifies or can be used to contact or locate a specific person. Such personal information data can include demographic data, location-based data, telephone numbers, email addresses, home addresses, or any other identifying information.

The present disclosure recognizes that the use of such personal information data, in the present technology, can be used to the benefit of users. For example, the personal information data can be used to deliver targeted content that is of greater interest to the user. Accordingly, use of such personal information data enables calculated control of the delivered content. Further, other uses for personal information data that benefit the user are also contemplated by the present disclosure.

The present disclosure further contemplates that the entities responsible for the collection, analysis, disclosure, transfer, storage, or other use of such personal information data will comply with well-established privacy policies and/or privacy practices. In particular, such entities should implement and consistently use privacy policies and practices that are generally recognized as meeting or exceeding industry or governmental requirements for maintaining personal information data private and secure. For example, personal information from users should be collected for legitimate and reasonable uses of the entity and not shared or sold outside of those legitimate uses. Further, such collection should occur only after receiving the informed consent of the users. Additionally, such entities would take any needed steps for safeguarding and securing access to such personal information data and ensuring that others with access to the personal information data adhere to their privacy policies and procedures. Further, such entities can subject themselves to evaluation by third parties to certify their adherence to widely accepted privacy policies and practices.

Despite the foregoing, the present disclosure also contemplates examples in which users selectively block the use of, or access to, personal information data. That is, the present disclosure contemplates that hardware and/or software elements can be provided to prevent or block access to such personal information data. For example, in the case of advertisement delivery services, the present technology can be configured to allow users to select to “opt in” or “opt out” of participation in the collection of personal information data during registration for services. In another example, users can select not to provide location information for targeted content delivery services. In yet another example, users can select to not provide precise location information, but permit the transfer of location zone information.

Therefore, although the present disclosure broadly covers use of personal information data to implement one or more various disclosed examples, the present disclosure also contemplates that the various examples can also be implemented without the need for accessing such personal information data. That is, the various examples of the present technology are not rendered inoperable due to the lack of all or a portion of such personal information data. For example, content can be selected and delivered to users by inferring preferences based on non-personal information data or a bare minimum amount of personal information, such as the content being requested by the device associated with a user, other non-personal information available to the content delivery services, or publicly available information.

Although examples have been fully described with reference to the accompanying drawings, it is to be noted that various changes and modifications will become apparent to those skilled in the art. Such changes and modifications are to be understood as being included within the scope of the various examples as defined by the appended claims.

Claims

1. A method for operating a virtual assistant, performed at an electronic device having one or more processors and a memory storing one or more programs for execution by the one or more processors, the method comprising: receiving a user speech;accessing a textual representation of the user speech;determining an intent corresponding to the textual representation of the user speech;generating an output dialog responsive to the user speech, comprising: selecting, in accordance with the determined intent, a dialog template from a plurality of dialog templates, wherein the dialog template includes a plurality of sets of functional blocks, wherein a first set of functional blocks of the plurality of sets of functional blocks defines one or more conditions;generating a plurality of output segments from the plurality of sets of functional blocks, including: determining whether the one or more conditions are satisfied; andin accordance with a determination that the one or more conditions are satisfied, generating, with the first set of functional blocks, a first string for a first output segment of the plurality of output segments; andconcatenating the plurality of output segments according to an order defined by the dialog template; andoutputting the output dialog comprising the concatenated plurality of output segments.
2. The method of claim 1, wherein generating an output dialog responsive to the user speech further comprises: identifying a task flow based on the determined user intent; andexecuting the identified task flow to generate the output dialog.
3. The method of claim 1, wherein generating the plurality of output segments from the plurality of sets of functional blocks further comprises: selecting an output from a plurality of possible outputs for a second set of functional blocks of the plurality of sets of functional blocks, wherein an output segment of the plurality of output segments includes one or more words of the selected output.
4. The method of claim 3, wherein the output is selected randomly from the plurality of possible outputs.
5. The method of claim 4, wherein each of the plurality of possible outputs is associated with a weighting factor, and wherein the output is selected randomly from the plurality of possible outputs based on the weighting factors.
6. The method of claim 3, wherein the output is selected from the plurality of possible outputs based on a predetermined order of the plurality of possible outputs.
7. The method of claim 1, wherein generating the output dialog responsive to the user speech further comprises obtaining information in accordance with the determined intent, wherein the one or more conditions is based on the obtained information.
8. The method of claim 1, wherein the one or more conditions depend on contextual information.
9. The method of claim 8, wherein the contextual information comprises a type of user device used to operate the virtual assistant, an operational state of the user device, a current time, a location of the user device, an orientation of the user device, or an orientation of a user with respect to the user device.
10. The method of claim 1, wherein each functional block of the plurality of sets of functional blocks includes a plurality of possible outputs, and wherein the plurality of possible outputs each include one or more of a string of words and a variable word.
11. The method of claim 1, wherein the dialog template further defines a format for displaying the output dialog.
12. The method of claim 1, wherein each output segment of the plurality of output segments is identified as being a spoken output segment or a printed output segment, and wherein outputting the output dialog comprises: outputting a spoken output dialog based on output segments identified as being a spoken output segment; andoutputting a printed output dialog based on output segments identified as being printed output segments.
13. The method of claim 1, wherein each output segment of the plurality of output segments is generated independent of the other output segments.
14. The method of claim 1, wherein the method further comprises tagging, after accessing the textual representation of the user speech and before generating the output dialog responsive to the user speech, a word of the user speech with a dialog tag.
15. The method of claim 14, wherein the dialog tag comprises a synonym of the tagged word.
16. The method of claim 15, wherein generating the output dialog responsive to the user speech further comprises replacing an occurrence of the tagged word in one or more of the plurality of output segments with the synonym of the tagged word.
17. The method of claim 1, further comprising: performing, speech to text conversion on the received user speech to generate the textual representation of the user speech.
18. The method of claim 1, further comprising: in accordance with a determination that the one or more conditions are not satisfied, generating, with the first set of functional blocks, a second string for the first output segment of the plurality of output segments.
19. The method of claim 1, further comprising: in accordance with a determination that the one or more conditions are not satisfied, forgo generating, with the first set of functional blocks, the first string for the first output segment of the plurality of output segments.
20. The method of claim 1, wherein a third set of functional blocks in the plurality of sets of functional blocks includes a set of candidate output segments, and wherein generating the plurality of output segments from the plurality of sets of functional blocks further comprises: executing a first function defined in a first functional block of the third set of functional blocks to select a candidate output segment from the set of candidate output segments; andgenerating one of the plurality of output segments by applying, to the selected candidate output segment, a second function defined in a second functional block of the third set of functional blocks, wherein the first functional block is a child block of the second functional block.
21. A non-transitory computer-readable storage medium comprising computer-executable instructions for: receiving a user speech;accessing a textual representation of the user speech;determining an intent corresponding to the textual representation of the user speech;generating an output dialog responsive to the user speech, comprising: selecting, in accordance with the determined intent, a dialog template from a plurality of dialog templates, wherein the dialog template includes a plurality of sets of functional blocks, wherein a first set of functional blocks of the plurality of sets of functional blocks defines one or more conditions;generating a plurality of output segments from the plurality of sets of functional blocks, including: determining whether the one or more conditions are satisfied; andin accordance with a determination that the one or more conditions are satisfied, generating, with the first set of functional blocks, a first string for a first output segment of the plurality of output segments;concatenating the plurality of output segments according to an order defined by the dialog template; andoutputting the output dialog comprising the concatenated plurality of output segments.
22. The non-transitory computer-readable storage medium of claim 21, further comprising computer executable instructions for: identifying a task flow based on the determined user intent; andexecuting the identified task flow.
23. The non-transitory computer-readable storage medium of claim 21, wherein generating the plurality of output segments from the plurality of sets of functional blocks further comprises: selecting an output from a plurality of possible outputs for a second set of functional blocks of the plurality of sets of functional blocks.
24. The non-transitory computer-readable storage medium of claim 21, wherein the output is selected randomly from the plurality of possible outputs.
25. The non-transitory computer-readable storage medium of claim 21, further comprising computer executable instructions for: in accordance with a determination that the one or more conditions are not satisfied, generating, with the first set of functional blocks, a second string for the first output segment of the plurality of output segments.
26. The non-transitory computer-readable storage medium of claim 21, further comprising computer executable instructions for: in accordance with a determination that the one or more conditions are not satisfied, forgo generating, with the first set of functional blocks, the first string for the first output segment of the plurality of output segments.
27. The non-transitory computer-readable storage medium of claim 21, wherein a third set of functional blocks in the plurality of sets of functional blocks includes a set of candidate output segments, and wherein generating the plurality of output segments from the plurality of sets of functional blocks further comprises: executing a first function defined in a first functional block of the third set of functional blocks to select a candidate output segment from the set of candidate output segments; andgenerating one of the plurality of output segments by applying, to the selected candidate output segment, a second function defined in a second functional block of the third set of functional blocks, wherein the first functional block is a child block of the second functional block.
28. A system comprising: one or more processors;memory;one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for: receiving a user speech;accessing a textual representation of the user speech;determining an intent corresponding to the textual representation of the user speech;generating an output dialog responsive to the user speech, comprising: selecting, in accordance with the determined intent, a dialog template from a plurality of dialog templates, wherein the dialog template includes a plurality of sets of functional blocks, wherein a first set of functional blocks of the plurality of sets of functional blocks defines one or more conditions;generating a plurality of output segments from the plurality of sets of functional blocks, including: determining whether the one or more conditions are satisfied; andin accordance with a determination that the one or more conditions are satisfied, generating, with the first set of functional blocks, a first string for a first output segment of the plurality of output segmentsconcatenating the plurality of output segments according to an order defined by the dialog template; andoutputting the output dialog comprising the concatenated plurality of output segments.
29. The system of claim 28, wherein the one or more programs further include instructions for: identifying a task flow based on the determined user intent; andexecuting the identified task flow.
30. The system of claim 28, wherein generating the plurality of output segments from the plurality of sets of functional blocks further comprises: selecting an output from a plurality of possible outputs for a second set of functional blocks of the plurality of sets of functional blocks.
31. The system of claim 30, wherein the output is selected randomly from the plurality of possible outputs.
32. The system of claim 31, wherein each of the plurality of possible outputs is associated with a weighting factor, and wherein the output is selected randomly from the plurality of possible outputs based on the weighting factors.
33. The system of claim 30, wherein the output is selected from the plurality of possible outputs based on a predetermined order of the plurality of possible outputs.
34. The system of claim 28, wherein the one or more programs further include instructions for: in accordance with a determination that the one or more conditions are not satisfied, generating, with the first set of functional blocks, a second string for the first output segment of the plurality of output segments.
35. The system of claim 28, wherein the one or more programs further include instructions for: in accordance with a determination that the one or more conditions are not satisfied, forgo generating, with the first set of functional blocks, the first string for the first output segment of the plurality of output segments.
36. The system of claim 28, wherein a third set of functional blocks in the plurality of sets of functional blocks includes a set of candidate output segments, and wherein generating the plurality of output segments from the plurality of sets of functional blocks further comprises: executing a first function defined in a first functional block of the third set of functional blocks to select a candidate output segment from the set of candidate output segments; andgenerating one of the plurality of output segments by applying, to the selected candidate output segment, a second function defined in a second functional block of the third set of functional blocks, wherein the first functional block is a child block of the second functional block.

CROSS-REFERENCE TO RELATED APPLICATION

This application claims priority from U.S. Provisional Ser. No. 62/005,886, filed on May 30, 2014, entitled DOMAIN SPECIFIC LANGUAGE FOR ENCODING ASSISTANT DIALOG, which is hereby incorporated by reference in its entirety for all purposes.

US Referenced Citations (2813)

Number	Name	Date	Kind
1559320	Hirsh	Oct 1925	A
2180522	Henne	Nov 1939	A
3704345	Coker et al.	Nov 1972	A
3710321	Rubenstein	Jan 1973	A
3828132	Flanagan et al.	Aug 1974	A
3979557	Schulman et al.	Sep 1976	A
4013085	Wright	Mar 1977	A
4081631	Feder	Mar 1978	A
4090216	Constable	May 1978	A
4107784	Van Bemmelen	Aug 1978	A
4108211	Tanaka	Aug 1978	A
4159536	Kehoe et al.	Jun 1979	A
4181821	Pirz et al.	Jan 1980	A
4204089	Key et al.	May 1980	A
4241286	Gordon	Dec 1980	A
4253477	Eichman	Mar 1981	A
4278838	Antonov	Jul 1981	A
4282405	Taguchi	Aug 1981	A
4310721	Manley et al.	Jan 1982	A
4332464	Bartulis et al.	Jun 1982	A
4348553	Baker et al.	Sep 1982	A
4384169	Mozer et al.	May 1983	A
4386345	Narveson et al.	May 1983	A
4433377	Eustis et al.	Feb 1984	A
4451849	Fuhrer	May 1984	A
4485439	Rothstein	Nov 1984	A
4495644	Parks et al.	Jan 1985	A
4513379	Wilson et al.	Apr 1985	A
4513435	Sakoe et al.	Apr 1985	A
4555775	Pike	Nov 1985	A
4577343	Oura	Mar 1986	A
4586158	Brandle	Apr 1986	A
4587670	Levinson et al.	May 1986	A
4589022	Prince et al.	May 1986	A
4611346	Bednar et al.	Sep 1986	A
4615081	Lindahl	Oct 1986	A
4618984	Das et al.	Oct 1986	A
4642790	Minshull et al.	Feb 1987	A
4653021	Takagi	Mar 1987	A
4654875	Srihari et al.	Mar 1987	A
4655233	Laughlin	Apr 1987	A
4658425	Julstrom	Apr 1987	A
4670848	Schramm	Jun 1987	A
4677570	Taki	Jun 1987	A
4680429	Murdock et al.	Jul 1987	A
4680805	Scott	Jul 1987	A
4688195	Thompson et al.	Aug 1987	A
4692941	Jacks et al.	Sep 1987	A
4698625	McCaskill et al.	Oct 1987	A
4709390	Atal et al.	Nov 1987	A
4713775	Scott et al.	Dec 1987	A
4718094	Bahl et al.	Jan 1988	A
4724542	Williford	Feb 1988	A
4726065	Froessl	Feb 1988	A
4727354	Lindsay	Feb 1988	A
4736296	Katayama et al.	Apr 1988	A
4750122	Kaji et al.	Jun 1988	A
4754489	Bokser	Jun 1988	A
4755811	Slavin et al.	Jul 1988	A
4776016	Hansen	Oct 1988	A
4783804	Juang et al.	Nov 1988	A
4783807	Marley	Nov 1988	A
4785413	Atsumi	Nov 1988	A
4790028	Ramage	Dec 1988	A
4797930	Goudie	Jan 1989	A
4802223	Lin et al.	Jan 1989	A
4803729	Baker	Feb 1989	A
4807752	Chodorow	Feb 1989	A
4811243	Racine	Mar 1989	A
4813074	Marcus	Mar 1989	A
4819271	Bahl et al.	Apr 1989	A
4827518	Feustel et al.	May 1989	A
4827520	Zeinstra	May 1989	A
4829576	Porter	May 1989	A
4829583	Monroe et al.	May 1989	A
4831551	Schalk et al.	May 1989	A
4833712	Bahl et al.	May 1989	A
4833718	Sprague	May 1989	A
4837798	Cohen et al.	Jun 1989	A
4837831	Gillick et al.	Jun 1989	A
4839853	Deerwester et al.	Jun 1989	A
4852168	Sprague	Jul 1989	A
4862504	Nomura	Aug 1989	A
4875187	Smith	Oct 1989	A
4878230	Murakami et al.	Oct 1989	A
4887212	Zamora et al.	Dec 1989	A
4896359	Yamamoto et al.	Jan 1990	A
4903305	Gillick et al.	Feb 1990	A
4905163	Garber et al.	Feb 1990	A
4908867	Silverman	Mar 1990	A
4914586	Swinehart et al.	Apr 1990	A
4914590	Loatman et al.	Apr 1990	A
4918723	Iggulden et al.	Apr 1990	A
4926491	Maeda et al.	May 1990	A
4928307	Lynn	May 1990	A
4935954	Thompson et al.	Jun 1990	A
4939639	Lee et al.	Jul 1990	A
4941488	Marxer et al.	Jul 1990	A
4944013	Gouvianakis et al.	Jul 1990	A
4945504	Nakama et al.	Jul 1990	A
4953106	Gansner et al.	Aug 1990	A
4955047	Morganstein et al.	Sep 1990	A
4965763	Zamora	Oct 1990	A
4972462	Shibata	Nov 1990	A
4974191	Amirghodsi et al.	Nov 1990	A
4975975	Filipski	Dec 1990	A
4977598	Doddington et al.	Dec 1990	A
4980916	Zinser	Dec 1990	A
4985924	Matsuura	Jan 1991	A
4992972	Brooks et al.	Feb 1991	A
4994966	Hutchins	Feb 1991	A
4994983	Landell et al.	Feb 1991	A
5003577	Ertz et al.	Mar 1991	A
5007095	Nara et al.	Apr 1991	A
5007098	Kumagai	Apr 1991	A
5010574	Wang	Apr 1991	A
5016002	Levanto	May 1991	A
5020112	Chou	May 1991	A
5021971	Lindsay	Jun 1991	A
5022081	Hirose et al.	Jun 1991	A
5027110	Chang et al.	Jun 1991	A
5027406	Roberts et al.	Jun 1991	A
5027408	Kroeker et al.	Jun 1991	A
5029211	Ozawa	Jul 1991	A
5031217	Nishimura	Jul 1991	A
5032989	Tornetta	Jul 1991	A
5033087	Bahl et al.	Jul 1991	A
5040218	Vitale et al.	Aug 1991	A
5046099	Nishimura	Sep 1991	A
5047614	Bianco	Sep 1991	A
5050215	Nishimura	Sep 1991	A
5053758	Cornett et al.	Oct 1991	A
5054084	Tanaka et al.	Oct 1991	A
5057915	Von Kohorn	Oct 1991	A
5067158	Arjmand	Nov 1991	A
5067503	Stile	Nov 1991	A
5072452	Brown et al.	Dec 1991	A
5075896	Wilcox et al.	Dec 1991	A
5079723	Herceg et al.	Jan 1992	A
5083119	Trevett et al.	Jan 1992	A
5083268	Hemphill et al.	Jan 1992	A
5086792	Chodorow	Feb 1992	A
5090012	Kajiyama et al.	Feb 1992	A
5091790	Silverberg	Feb 1992	A
5091945	Kleijn	Feb 1992	A
5103498	Lanier et al.	Apr 1992	A
5109509	Katayama et al.	Apr 1992	A
5111423	Kopec, Jr. et al.	May 1992	A
5119079	Hube et al.	Jun 1992	A
5122951	Kamiya	Jun 1992	A
5123103	Ohtaki et al.	Jun 1992	A
5125022	Hunt et al.	Jun 1992	A
5125030	Nomura et al.	Jun 1992	A
5127043	Hunt et al.	Jun 1992	A
5127053	Koch	Jun 1992	A
5127055	Larkey	Jun 1992	A
5128672	Kaehler	Jul 1992	A
5133011	McKiel, Jr.	Jul 1992	A
5133023	Bokser	Jul 1992	A
5142584	Ozawa	Aug 1992	A
5148541	Lee et al.	Sep 1992	A
5153913	Kandefer et al.	Oct 1992	A
5157610	Asano et al.	Oct 1992	A
5161102	Griffin et al.	Nov 1992	A
5164900	Bernath	Nov 1992	A
5164982	Davis	Nov 1992	A
5165007	Bahl et al.	Nov 1992	A
5167004	Netsch et al.	Nov 1992	A
5175536	Aschliman et al.	Dec 1992	A
5175803	Yeh	Dec 1992	A
5175814	Anick et al.	Dec 1992	A
5179627	Sweet et al.	Jan 1993	A
5179652	Rozmanith et al.	Jan 1993	A
5194950	Murakami et al.	Mar 1993	A
5195034	Garneau et al.	Mar 1993	A
5195167	Bahl et al.	Mar 1993	A
5197005	Shwartz et al.	Mar 1993	A
5199077	Wilcox et al.	Mar 1993	A
5201034	Matsuura et al.	Apr 1993	A
5202952	Gillick et al.	Apr 1993	A
5208862	Ozawa	May 1993	A
5210689	Baker et al.	May 1993	A
5212638	Bernath	May 1993	A
5212821	Gorin et al.	May 1993	A
5216747	Hardwick et al.	Jun 1993	A
5218700	Beechick	Jun 1993	A
5220629	Kosaka et al.	Jun 1993	A
5220639	Lee	Jun 1993	A
5220657	Bly et al.	Jun 1993	A
5222146	Bahl et al.	Jun 1993	A
5230036	Akamine et al.	Jul 1993	A
5231670	Goldhor et al.	Jul 1993	A
5235680	Bijnagte	Aug 1993	A
5237502	White et al.	Aug 1993	A
5241619	Schwartz et al.	Aug 1993	A
5253325	Clark	Oct 1993	A
5257387	Richek et al.	Oct 1993	A
5260697	Barrett et al.	Nov 1993	A
5266931	Tanaka	Nov 1993	A
5266949	Rossi	Nov 1993	A
5267345	Brown et al.	Nov 1993	A
5268990	Cohen et al.	Dec 1993	A
5274771	Hamilton et al.	Dec 1993	A
5274818	Vasilevsky et al.	Dec 1993	A
5276616	Kuga et al.	Jan 1994	A
5276794	Lamb, Jr.	Jan 1994	A
5278980	Pedersen et al.	Jan 1994	A
5282265	Rohra Suda et al.	Jan 1994	A
5283818	Klausner et al.	Feb 1994	A
5287448	Nicol et al.	Feb 1994	A
5289562	Mizuta et al.	Feb 1994	A
RE34562	Murakami et al.	Mar 1994	E
5291286	Murakami et al.	Mar 1994	A
5293448	Honda	Mar 1994	A
5293452	Picone et al.	Mar 1994	A
5296642	Konishi	Mar 1994	A
5297170	Eyuboglu et al.	Mar 1994	A
5297194	Hunt et al.	Mar 1994	A
5299125	Baker et al.	Mar 1994	A
5299284	Roy	Mar 1994	A
5301109	Landauer et al.	Apr 1994	A
5303406	Hansen et al.	Apr 1994	A
5305205	Weber et al.	Apr 1994	A
5305768	Gross et al.	Apr 1994	A
5309359	Katz et al.	May 1994	A
5315689	Kanazawa et al.	May 1994	A
5317507	Gallant	May 1994	A
5317647	Pagallo	May 1994	A
5325297	Bird et al.	Jun 1994	A
5325298	Gallant	Jun 1994	A
5325462	Farrett	Jun 1994	A
5326270	Ostby et al.	Jul 1994	A
5327342	Roy	Jul 1994	A
5327498	Hamon	Jul 1994	A
5329608	Bocchieri et al.	Jul 1994	A
5333236	Bahl et al.	Jul 1994	A
5333266	Boaz et al.	Jul 1994	A
5333275	Wheatley et al.	Jul 1994	A
5335011	Addeo et al.	Aug 1994	A
5335276	Thompson et al.	Aug 1994	A
5341293	Vertelney et al.	Aug 1994	A
5341466	Perlin et al.	Aug 1994	A
5345536	Hoshimi et al.	Sep 1994	A
5349645	Zhao	Sep 1994	A
5353374	Wilson et al.	Oct 1994	A
5353376	Oh et al.	Oct 1994	A
5353377	Kuroda et al.	Oct 1994	A
5353408	Kato et al.	Oct 1994	A
5353432	Richek et al.	Oct 1994	A
5357431	Nakada et al.	Oct 1994	A
5367640	Hamilton et al.	Nov 1994	A
5369575	Lamberti et al.	Nov 1994	A
5369577	Kadashevich et al.	Nov 1994	A
5371853	Kao et al.	Dec 1994	A
5373566	Murdock	Dec 1994	A
5377103	Lamberti et al.	Dec 1994	A
5377301	Rosenberg et al.	Dec 1994	A
5377303	Firman	Dec 1994	A
5384671	Fisher	Jan 1995	A
5384892	Strong	Jan 1995	A
5384893	Hutchins	Jan 1995	A
5386494	White	Jan 1995	A
5386556	Hedin et al.	Jan 1995	A
5390236	Klausner et al.	Feb 1995	A
5390279	Strong	Feb 1995	A
5390281	Luciw et al.	Feb 1995	A
5392419	Walton	Feb 1995	A
5396625	Parkes	Mar 1995	A
5400434	Pearson	Mar 1995	A
5404295	Katz et al.	Apr 1995	A
5406305	Shimomura et al.	Apr 1995	A
5408060	Muurinen	Apr 1995	A
5412756	Bauman et al.	May 1995	A
5412804	Krishna	May 1995	A
5412806	Du et al.	May 1995	A
5418951	Damashek	May 1995	A
5422656	Allard et al.	Jun 1995	A
5424947	Nagao et al.	Jun 1995	A
5425108	Hwang et al.	Jun 1995	A
5428731	Powers, III	Jun 1995	A
5434777	Luciw	Jul 1995	A
5442598	Haikawa et al.	Aug 1995	A
5442780	Takanashi et al.	Aug 1995	A
5444823	Nguyen	Aug 1995	A
5449368	Kuzmak	Sep 1995	A
5450523	Zhao	Sep 1995	A
5455888	Iyengar et al.	Oct 1995	A
5457768	Tsuboi et al.	Oct 1995	A
5459488	Geiser	Oct 1995	A
5463696	Beernink et al.	Oct 1995	A
5463725	Henckel et al.	Oct 1995	A
5465401	Thompson	Nov 1995	A
5469529	Bimbot et al.	Nov 1995	A
5471611	McGregor	Nov 1995	A
5473728	Luginbuhl et al.	Dec 1995	A
5475587	Anick et al.	Dec 1995	A
5475796	Iwata	Dec 1995	A
5477447	Luciw et al.	Dec 1995	A
5477448	Golding et al.	Dec 1995	A
5477451	Brown et al.	Dec 1995	A
5479488	Lennig et al.	Dec 1995	A
5481739	Staats	Jan 1996	A
5485372	Golding et al.	Jan 1996	A
5485543	Aso	Jan 1996	A
5488727	Agrawal et al.	Jan 1996	A
5490234	Narayan	Feb 1996	A
5491758	Bellegarda et al.	Feb 1996	A
5491772	Hardwick et al.	Feb 1996	A
5493677	Balogh et al.	Feb 1996	A
5495604	Harding et al.	Feb 1996	A
5497319	Chong et al.	Mar 1996	A
5500903	Gulli	Mar 1996	A
5500905	Martin et al.	Mar 1996	A
5500937	Thompson-Rohrlich	Mar 1996	A
5502774	Bellegarda et al.	Mar 1996	A
5502790	Yi	Mar 1996	A
5502791	Nishimura et al.	Mar 1996	A
5515475	Gupta et al.	May 1996	A
5521816	Roche et al.	May 1996	A
5524140	Klausner et al.	Jun 1996	A
5533182	Bates et al.	Jul 1996	A
5535121	Roche et al.	Jul 1996	A
5536902	Serra et al.	Jul 1996	A
5537317	Schabes et al.	Jul 1996	A
5537618	Boulton et al.	Jul 1996	A
5537647	Hermansky et al.	Jul 1996	A
5543588	Bisset et al.	Aug 1996	A
5543897	Altrieth, III	Aug 1996	A
5544264	Bellegarda et al.	Aug 1996	A
5548507	Martino et al.	Aug 1996	A
5555343	Luther	Sep 1996	A
5555344	Zunkler	Sep 1996	A
5559301	Bryan, Jr. et al.	Sep 1996	A
5559945	Beaudet et al.	Sep 1996	A
5564446	Wiltshire	Oct 1996	A
5565888	Selker	Oct 1996	A
5568536	Tiller et al.	Oct 1996	A
5568540	Greco et al.	Oct 1996	A
5570324	Geil	Oct 1996	A
5572576	Klausner et al.	Nov 1996	A
5574823	Hassanein et al.	Nov 1996	A
5574824	Slyh et al.	Nov 1996	A
5577135	Grajski et al.	Nov 1996	A
5577164	Kaneko et al.	Nov 1996	A
5577241	Spencer	Nov 1996	A
5578808	Taylor	Nov 1996	A
5579037	Tahara et al.	Nov 1996	A
5579436	Chou et al.	Nov 1996	A
5581484	Prince	Dec 1996	A
5581652	Abe et al.	Dec 1996	A
5581655	Cohen et al.	Dec 1996	A
5583993	Foster et al.	Dec 1996	A
5584024	Shwartz	Dec 1996	A
5594641	Kaplan et al.	Jan 1997	A
5596260	Moravec et al.	Jan 1997	A
5596676	Swaminathan et al.	Jan 1997	A
5596994	Bro	Jan 1997	A
5608624	Luciw	Mar 1997	A
5608698	Yamanoi et al.	Mar 1997	A
5608841	Tsuboka	Mar 1997	A
5610812	Schabes et al.	Mar 1997	A
5613036	Strong	Mar 1997	A
5613122	Burnard et al.	Mar 1997	A
5615378	Nishino et al.	Mar 1997	A
5615384	Allard et al.	Mar 1997	A
5616876	Cluts	Apr 1997	A
5617386	Choi	Apr 1997	A
5617507	Lee et al.	Apr 1997	A
5617539	Ludwig et al.	Apr 1997	A
5619583	Page et al.	Apr 1997	A
5619694	Shimazu	Apr 1997	A
5621859	Schwartz et al.	Apr 1997	A
5621903	Luciw et al.	Apr 1997	A
5627939	Huang et al.	May 1997	A
5634084	Malsheen et al.	May 1997	A
5636325	Farrett	Jun 1997	A
5638425	Meador, III et al.	Jun 1997	A
5638489	Tsuboka	Jun 1997	A
5638523	Mullet et al.	Jun 1997	A
5640487	Lau et al.	Jun 1997	A
5642464	Yue et al.	Jun 1997	A
5642466	Narayan	Jun 1997	A
5642519	Martin	Jun 1997	A
5644656	Akra et al.	Jul 1997	A
5644727	Atkins	Jul 1997	A
5649060	Ellozy et al.	Jul 1997	A
5652828	Silverman	Jul 1997	A
5652884	Palevich	Jul 1997	A
5652897	Linebarger et al.	Jul 1997	A
5661787	Pocock	Aug 1997	A
5664055	Kroon	Sep 1997	A
5670985	Cappels, Sr. et al.	Sep 1997	A
5675819	Schuetze	Oct 1997	A
5682475	Johnson et al.	Oct 1997	A
5682539	Conrad et al.	Oct 1997	A
5684513	Decker	Nov 1997	A
5687077	Gough, Jr.	Nov 1997	A
5689287	Mackinlay et al.	Nov 1997	A
5689618	Gasper et al.	Nov 1997	A
5696962	Kupiec	Dec 1997	A
5699082	Marks et al.	Dec 1997	A
5701400	Amado	Dec 1997	A
5706442	Anderson et al.	Jan 1998	A
5708659	Rostoker et al.	Jan 1998	A
5708822	Wical	Jan 1998	A
5710886	Christensen et al.	Jan 1998	A
5710922	Alley et al.	Jan 1998	A
5712949	Kato et al.	Jan 1998	A
5712957	Waibel et al.	Jan 1998	A
5715468	Budzinski	Feb 1998	A
5717877	Orton et al.	Feb 1998	A
5721827	Logan et al.	Feb 1998	A
5721949	Smith et al.	Feb 1998	A
5724406	Juster	Mar 1998	A
5724985	Snell et al.	Mar 1998	A
5726672	Hernandez et al.	Mar 1998	A
5727950	Cook et al.	Mar 1998	A
5729694	Holzrichter et al.	Mar 1998	A
5732216	Logan et al.	Mar 1998	A
5732390	Katayanagi et al.	Mar 1998	A
5732395	Silverman	Mar 1998	A
5734750	Arai et al.	Mar 1998	A
5734791	Acero et al.	Mar 1998	A
5736974	Selker	Apr 1998	A
5737487	Bellegarda et al.	Apr 1998	A
5737734	Schultz	Apr 1998	A
5739451	Winksy et al.	Apr 1998	A
5740143	Suetomi	Apr 1998	A
5742705	Parthasarathy	Apr 1998	A
5742736	Haddock	Apr 1998	A
5745116	Pisutha-Arnond	Apr 1998	A
5745873	Braida et al.	Apr 1998	A
5748512	Vargas	May 1998	A
5748974	Johnson	May 1998	A
5749071	Silverman	May 1998	A
5749081	Whiteis	May 1998	A
5751906	Silverman	May 1998	A
5757358	Osga	May 1998	A
5757979	Hongo et al.	May 1998	A
5758079	Ludwig et al.	May 1998	A
5758314	McKenna	May 1998	A
5759101	Von Kohorn	Jun 1998	A
5761640	Kalyanswamy et al.	Jun 1998	A
5765131	Stentiford et al.	Jun 1998	A
5765168	Burrows	Jun 1998	A
5771276	Wolf	Jun 1998	A
5774834	Visser	Jun 1998	A
5774855	Foti et al.	Jun 1998	A
5774859	Houser et al.	Jun 1998	A
5777614	Ando et al.	Jul 1998	A
5778405	Ogawa	Jul 1998	A
5790978	Olive et al.	Aug 1998	A
5794050	Dahlgren et al.	Aug 1998	A
5794182	Manduchi et al.	Aug 1998	A
5794207	Walker et al.	Aug 1998	A
5794237	Gore, Jr.	Aug 1998	A
5797008	Burrows	Aug 1998	A
5799268	Boguraev	Aug 1998	A
5799269	Schabes et al.	Aug 1998	A
5799276	Komissarchik et al.	Aug 1998	A
5801692	Muzio et al.	Sep 1998	A
5802466	Gallant et al.	Sep 1998	A
5802526	Fawcett et al.	Sep 1998	A
5812697	Sakai et al.	Sep 1998	A
5812698	Platt et al.	Sep 1998	A
5815142	Allard et al.	Sep 1998	A
5815225	Nelson	Sep 1998	A
5818451	Bertram et al.	Oct 1998	A
5818924	King et al.	Oct 1998	A
5822288	Shinada	Oct 1998	A
5822730	Roth et al.	Oct 1998	A
5822743	Gupta et al.	Oct 1998	A
5825349	Meier et al.	Oct 1998	A
5825881	Colvin, Sr.	Oct 1998	A
5826261	Spencer	Oct 1998	A
5828768	Eatwell et al.	Oct 1998	A
5828999	Bellegarda et al.	Oct 1998	A
5832433	Yashchin et al.	Nov 1998	A
5832435	Silverman	Nov 1998	A
5835077	Dao et al.	Nov 1998	A
5835721	Donahue et al.	Nov 1998	A
5835732	Kikinis et al.	Nov 1998	A
5835893	Ushioda	Nov 1998	A
5839106	Bellegarda	Nov 1998	A
5841902	Tu	Nov 1998	A
5842165	Raman et al.	Nov 1998	A
5845255	Mayaud	Dec 1998	A
5850480	Scanlon	Dec 1998	A
5850629	Holm et al.	Dec 1998	A
5854893	Ludwig et al.	Dec 1998	A
5857184	Lynch	Jan 1999	A
5860063	Gorin et al.	Jan 1999	A
5860064	Henton	Jan 1999	A
5860075	Hashizume et al.	Jan 1999	A
5862223	Walker et al.	Jan 1999	A
5864806	Mokbel et al.	Jan 1999	A
5864815	Rozak et al.	Jan 1999	A
5864844	James et al.	Jan 1999	A
5864855	Ruocco et al.	Jan 1999	A
5864868	Contois	Jan 1999	A
5867799	Lang et al.	Feb 1999	A
5870710	Ozawa et al.	Feb 1999	A
5873056	Liddy et al.	Feb 1999	A
5875427	Yamazaki	Feb 1999	A
5875437	Atkins	Feb 1999	A
5876396	Lo et al.	Mar 1999	A
5877751	Kanemitsu et al.	Mar 1999	A
5878393	Hata et al.	Mar 1999	A
5878394	Muhling	Mar 1999	A
5878396	Henton	Mar 1999	A
5880731	Liles et al.	Mar 1999	A
5884039	Ludwig et al.	Mar 1999	A
5884323	Hawkins et al.	Mar 1999	A
5890117	Silverman	Mar 1999	A
5890122	Van et al.	Mar 1999	A
5891180	Greeninger et al.	Apr 1999	A
5895448	Vysotsky et al.	Apr 1999	A
5895464	Bhandari et al.	Apr 1999	A
5895466	Goldberg et al.	Apr 1999	A
5896321	Miller et al.	Apr 1999	A
5896500	Ludwig et al.	Apr 1999	A
5899972	Miyazawa et al.	May 1999	A
5909666	Gould et al.	Jun 1999	A
5912951	Checchio et al.	Jun 1999	A
5912952	Brendzel	Jun 1999	A
5913193	Huang et al.	Jun 1999	A
5915236	Gould et al.	Jun 1999	A
5915238	Tjaden	Jun 1999	A
5915249	Spencer	Jun 1999	A
5917487	Ulrich	Jun 1999	A
5918303	Yamaura et al.	Jun 1999	A
5920327	Seidensticker, Jr.	Jul 1999	A
5920836	Gould et al.	Jul 1999	A
5920837	Gould et al.	Jul 1999	A
5923757	Hocker et al.	Jul 1999	A
5924068	Richard et al.	Jul 1999	A
5926769	Valimaa et al.	Jul 1999	A
5926789	Barbara et al.	Jul 1999	A
5930408	Seto	Jul 1999	A
5930751	Cohrs et al.	Jul 1999	A
5930754	Karaali et al.	Jul 1999	A
5930769	Rose	Jul 1999	A
5930783	Li et al.	Jul 1999	A
5933477	Wu	Aug 1999	A
5933806	Beyerlein et al.	Aug 1999	A
5933822	Braden-Harder et al.	Aug 1999	A
5936926	Yokouchi et al.	Aug 1999	A
5940811	Norris	Aug 1999	A
5940841	Schmuck et al.	Aug 1999	A
5941944	Messerly	Aug 1999	A
5943043	Furuhata et al.	Aug 1999	A
5943049	Matsubara et al.	Aug 1999	A
5943052	Allen et al.	Aug 1999	A
5943443	Itonori et al.	Aug 1999	A
5943670	Prager	Aug 1999	A
5948040	DeLorme et al.	Sep 1999	A
5949961	Sharman	Sep 1999	A
5950123	Schwelb et al.	Sep 1999	A
5952992	Helms	Sep 1999	A
5953541	King et al.	Sep 1999	A
5956021	Kubota et al.	Sep 1999	A
5956699	Wong et al.	Sep 1999	A
5960394	Gould et al.	Sep 1999	A
5960422	Prasad	Sep 1999	A
5963924	Williams et al.	Oct 1999	A
5966126	Szabo	Oct 1999	A
5970474	LeRoy et al.	Oct 1999	A
5973676	Kawakura	Oct 1999	A
5974146	Randle et al.	Oct 1999	A
5977950	Rhyne	Nov 1999	A
5982352	Pryor	Nov 1999	A
5982891	Ginter et al.	Nov 1999	A
5982902	Terano	Nov 1999	A
5983179	Gould et al.	Nov 1999	A
5987132	Rowney	Nov 1999	A
5987140	Rowney et al.	Nov 1999	A
5987401	Trudeau	Nov 1999	A
5987404	Della Pietra et al.	Nov 1999	A
5987440	O'Neil et al.	Nov 1999	A
5990887	Redpath et al.	Nov 1999	A
5991441	Jourjine	Nov 1999	A
5995460	Takagi et al.	Nov 1999	A
5995590	Brunet et al.	Nov 1999	A
5998972	Gong	Dec 1999	A
5999169	Lee	Dec 1999	A
5999895	Forest	Dec 1999	A
5999908	Abelow	Dec 1999	A
5999927	Tukey et al.	Dec 1999	A
6006274	Hawkins et al.	Dec 1999	A
6009237	Hirabayashi et al.	Dec 1999	A
6011585	Anderson	Jan 2000	A
6014428	Wolf	Jan 2000	A
6016471	Kuhn et al.	Jan 2000	A
6018705	Gaudet	Jan 2000	A
6018711	French-St. George et al.	Jan 2000	A
6020881	Naughton et al.	Feb 2000	A
6023536	Visser	Feb 2000	A
6023676	Erell	Feb 2000	A
6023684	Pearson	Feb 2000	A
6024288	Gottlich et al.	Feb 2000	A
6026345	Shah et al.	Feb 2000	A
6026375	Hall et al.	Feb 2000	A
6026388	Liddy et al.	Feb 2000	A
6026393	Gupta et al.	Feb 2000	A
6029132	Kuhn et al.	Feb 2000	A
6035267	Watanabe et al.	Mar 2000	A
6035303	Baer et al.	Mar 2000	A
6035336	Lu et al.	Mar 2000	A
6038533	Buchsbaum et al.	Mar 2000	A
6040824	Maekawa et al.	Mar 2000	A
6041023	Lakhansingh	Mar 2000	A
6047255	Williamson	Apr 2000	A
6052654	Gaudet et al.	Apr 2000	A
6052656	Suda et al.	Apr 2000	A
6054990	Tran	Apr 2000	A
6055514	Wren	Apr 2000	A
6055531	Bennett et al.	Apr 2000	A
6064767	Muir et al.	May 2000	A
6064959	Young et al.	May 2000	A
6064960	Bellegarda et al.	May 2000	A
6064963	Gainsboro	May 2000	A
6067519	Lowry	May 2000	A
6069648	Suso et al.	May 2000	A
6070138	Iwata	May 2000	A
6070139	Miyazawa et al.	May 2000	A
6070147	Harms et al.	May 2000	A
6073033	Campo	Jun 2000	A
6073036	Heikkinen et al.	Jun 2000	A
6073097	Gould et al.	Jun 2000	A
6076051	Messerly et al.	Jun 2000	A
6076060	Lin et al.	Jun 2000	A
6076088	Paik et al.	Jun 2000	A
6078914	Redfern	Jun 2000	A
6081750	Hoffberg et al.	Jun 2000	A
6081774	de Hita et al.	Jun 2000	A
6081780	Lumelsky	Jun 2000	A
6088671	Gould et al.	Jul 2000	A
6088731	Kiraly et al.	Jul 2000	A
6092043	Squires et al.	Jul 2000	A
6094649	Bowen et al.	Jul 2000	A
6097391	Wilcox	Aug 2000	A
6101468	Gould et al.	Aug 2000	A
6101470	Eide et al.	Aug 2000	A
6105865	Hardesty	Aug 2000	A
6108627	Sabourin	Aug 2000	A
6111562	Downs et al.	Aug 2000	A
6116907	Baker et al.	Sep 2000	A
6119101	Peckover	Sep 2000	A
6121960	Carroll et al.	Sep 2000	A
6122340	Darley et al.	Sep 2000	A
6122614	Kahn et al.	Sep 2000	A
6122616	Henton	Sep 2000	A
6125284	Moore et al.	Sep 2000	A
6125346	Nishimura et al.	Sep 2000	A
6125356	Brockman et al.	Sep 2000	A
6129582	Wilhite et al.	Oct 2000	A
6138098	Shieber et al.	Oct 2000	A
6141642	Oh	Oct 2000	A
6141644	Kuhn et al.	Oct 2000	A
6144377	Oppermann et al.	Nov 2000	A
6144938	Surace et al.	Nov 2000	A
6144939	Pearson et al.	Nov 2000	A
6151401	Annaratone	Nov 2000	A
6154551	Frenkel	Nov 2000	A
6154720	Onishi et al.	Nov 2000	A
6157935	Tran et al.	Dec 2000	A
6161084	Messerly et al.	Dec 2000	A
6161087	Wightman et al.	Dec 2000	A
6161944	Leman	Dec 2000	A
6163769	Acero et al.	Dec 2000	A
6163809	Buckley	Dec 2000	A
6167369	Schulze	Dec 2000	A
6169538	Nowlan et al.	Jan 2001	B1
6172948	Keller et al.	Jan 2001	B1
6173194	Vanttila	Jan 2001	B1
6173251	Ito et al.	Jan 2001	B1
6173261	Arai et al.	Jan 2001	B1
6173263	Conkie	Jan 2001	B1
6173279	Levin et al.	Jan 2001	B1
6177905	Welch	Jan 2001	B1
6177931	Alexander et al.	Jan 2001	B1
6179432	Zhang et al.	Jan 2001	B1
6182028	Karaali et al.	Jan 2001	B1
6185533	Holm et al.	Feb 2001	B1
6188999	Moody	Feb 2001	B1
6191939	Burnett	Feb 2001	B1
6192253	Charlier et al.	Feb 2001	B1
6192340	Abecassis	Feb 2001	B1
6195641	Loring et al.	Feb 2001	B1
6205456	Nakao	Mar 2001	B1
6208044	Viswanadham et al.	Mar 2001	B1
6208956	Motoyama	Mar 2001	B1
6208964	Sabourin	Mar 2001	B1
6208967	Pauws et al.	Mar 2001	B1
6208971	Bellegarda et al.	Mar 2001	B1
6216102	Martino et al.	Apr 2001	B1
6216131	Liu et al.	Apr 2001	B1
6217183	Shipman	Apr 2001	B1
6222347	Gong	Apr 2001	B1
6226403	Parthasarathy	May 2001	B1
6226533	Akahane	May 2001	B1
6226614	Mizuno et al.	May 2001	B1
6230322	Saib et al.	May 2001	B1
6232539	Looney et al.	May 2001	B1
6232966	Kurlander	May 2001	B1
6233545	Datig	May 2001	B1
6233559	Balakrishnan	May 2001	B1
6233578	Machihara et al.	May 2001	B1
6237025	Ludwig et al.	May 2001	B1
6240303	Katzur	May 2001	B1
6243681	Guji et al.	Jun 2001	B1
6246981	Papineni et al.	Jun 2001	B1
6248946	Dwek	Jun 2001	B1
6249606	Kiraly et al.	Jun 2001	B1
6259436	Moon et al.	Jul 2001	B1
6259826	Pollard et al.	Jul 2001	B1
6260011	Heckerman et al.	Jul 2001	B1
6260013	Sejnoha	Jul 2001	B1
6260016	Holm et al.	Jul 2001	B1
6260024	Shkedy	Jul 2001	B1
6266637	Donovan et al.	Jul 2001	B1
6268859	Andresen et al.	Jul 2001	B1
6269712	Zentmyer	Aug 2001	B1
6271835	Hoeksma	Aug 2001	B1
6272456	De Campos	Aug 2001	B1
6272464	Kiraz et al.	Aug 2001	B1
6275795	Tzirkel-Hancock	Aug 2001	B1
6275824	O'Flaherty et al.	Aug 2001	B1
6278970	Milner	Aug 2001	B1
6282507	Horiguchi et al.	Aug 2001	B1
6285785	Bellegarda et al.	Sep 2001	B1
6285786	Seni et al.	Sep 2001	B1
6289085	Miyashita et al.	Sep 2001	B1
6289124	Okamoto	Sep 2001	B1
6289301	Higginbotham et al.	Sep 2001	B1
6289353	Hazlehurst et al.	Sep 2001	B1
6292772	Kantrowitz	Sep 2001	B1
6292778	Sukkar	Sep 2001	B1
6295390	Kobayashi et al.	Sep 2001	B1
6295541	Bodnar et al.	Sep 2001	B1
6297818	Ulrich et al.	Oct 2001	B1
6298314	Blackadar et al.	Oct 2001	B1
6298321	Karlov et al.	Oct 2001	B1
6304844	Pan et al.	Oct 2001	B1
6304846	George et al.	Oct 2001	B1
6307548	Flinchem et al.	Oct 2001	B1
6308149	Gaussier et al.	Oct 2001	B1
6311157	Strong	Oct 2001	B1
6311189	deVries et al.	Oct 2001	B1
6317237	Nakao et al.	Nov 2001	B1
6317594	Gossman et al.	Nov 2001	B1
6317707	Bangalore et al.	Nov 2001	B1
6317831	King	Nov 2001	B1
6321092	Fitch et al.	Nov 2001	B1
6324512	Junqua et al.	Nov 2001	B1
6330538	Breen	Dec 2001	B1
6332175	Birrell et al.	Dec 2001	B1
6334103	Surace et al.	Dec 2001	B1
6335722	Tani et al.	Jan 2002	B1
6336365	Blackadar et al.	Jan 2002	B1
6336727	Kim	Jan 2002	B1
6340937	Stepita-Klauco	Jan 2002	B1
6341316	Kloba et al.	Jan 2002	B1
6343267	Kuhn et al.	Jan 2002	B1
6345250	Martin	Feb 2002	B1
6351522	Vitikainen	Feb 2002	B1
6351762	Ludwig et al.	Feb 2002	B1
6353442	Masui	Mar 2002	B1
6353794	Davis et al.	Mar 2002	B1
6356854	Schubert et al.	Mar 2002	B1
6356864	Foltz et al.	Mar 2002	B1
6356905	Gershman et al.	Mar 2002	B1
6357147	Darley et al.	Mar 2002	B1
6359572	Vale	Mar 2002	B1
6359970	Burgess	Mar 2002	B1
6360227	Aggarwal et al.	Mar 2002	B1
6360237	Schulz et al.	Mar 2002	B1
6366883	Campbell et al.	Apr 2002	B1
6366884	Bellegarda et al.	Apr 2002	B1
6374217	Bellegarda	Apr 2002	B1
6377530	Burrows	Apr 2002	B1
6377925	Greene, Jr. et al.	Apr 2002	B1
6377928	Saxena et al.	Apr 2002	B1
6385586	Dietz	May 2002	B1
6385662	Moon et al.	May 2002	B1
6389114	Dowens et al.	May 2002	B1
6397183	Baba et al.	May 2002	B1
6397186	Bush et al.	May 2002	B1
6401065	Kanevsky et al.	Jun 2002	B1
6405169	Kondo et al.	Jun 2002	B1
6408272	White et al.	Jun 2002	B1
6411932	Molnar et al.	Jun 2002	B1
6415250	Van Den Akker	Jul 2002	B1
6421305	Gioscia et al.	Jul 2002	B1
6421672	McAllister et al.	Jul 2002	B1
6421707	Miller et al.	Jul 2002	B1
6424944	Hikawa	Jul 2002	B1
6430551	Thelen et al.	Aug 2002	B1
6434522	Tsuboka	Aug 2002	B1
6434524	Weber	Aug 2002	B1
6434604	Harada et al.	Aug 2002	B1
6437818	Ludwig et al.	Aug 2002	B1
6438523	Oberteuffer et al.	Aug 2002	B1
6442518	Van Thong et al.	Aug 2002	B1
6442523	Siegel	Aug 2002	B1
6446076	Burkey et al.	Sep 2002	B1
6448485	Barile	Sep 2002	B1
6448986	Smith	Sep 2002	B1
6449620	Draper et al.	Sep 2002	B1
6453281	Walters et al.	Sep 2002	B1
6453292	Ramaswamy et al.	Sep 2002	B2
6453315	Weissman et al.	Sep 2002	B1
6456616	Rantanen	Sep 2002	B1
6456972	Gladstein et al.	Sep 2002	B1
6460015	Hetherington et al.	Oct 2002	B1
6460029	Fries et al.	Oct 2002	B1
6462778	Abram et al.	Oct 2002	B1
6463128	Elwin	Oct 2002	B1
6466654	Cooper et al.	Oct 2002	B1
6467924	Shipman	Oct 2002	B2
6469712	Hilpert, Jr. et al.	Oct 2002	B1
6469722	Kinoe et al.	Oct 2002	B1
6469732	Chang et al.	Oct 2002	B1
6470347	Gillam	Oct 2002	B1
6473630	Baranowski et al.	Oct 2002	B1
6477488	Bellegarda	Nov 2002	B1
6477494	Hyde-Thomson et al.	Nov 2002	B2
6487533	Hyde-Thomson et al.	Nov 2002	B2
6487534	Thelen et al.	Nov 2002	B1
6487663	Jaisimha et al.	Nov 2002	B1
6489951	Wong et al.	Dec 2002	B1
6490560	Ramaswamy et al.	Dec 2002	B1
6493428	Hillier	Dec 2002	B1
6493652	Ohlenbusch et al.	Dec 2002	B1
6493667	De Souza et al.	Dec 2002	B1
6499013	Weber	Dec 2002	B1
6499014	Chihara	Dec 2002	B1
6501937	Ho et al.	Dec 2002	B1
6502194	Berman et al.	Dec 2002	B1
6505158	Conkie	Jan 2003	B1
6505175	Silverman et al.	Jan 2003	B1
6505183	Loofbourrow et al.	Jan 2003	B1
6510406	Marchisio	Jan 2003	B1
6510417	Woods et al.	Jan 2003	B1
6513008	Pearson et al.	Jan 2003	B2
6513063	Julia et al.	Jan 2003	B1
6519565	Clements et al.	Feb 2003	B1
6519566	Boyer et al.	Feb 2003	B1
6523026	Gillis	Feb 2003	B1
6523061	Halverson et al.	Feb 2003	B1
6523172	Martinez-Guerra et al.	Feb 2003	B1
6526351	Whitham	Feb 2003	B2
6526382	Yuschik	Feb 2003	B1
6526395	Morris	Feb 2003	B1
6529592	Khan	Mar 2003	B1
6529608	Gersabeck et al.	Mar 2003	B2
6532444	Weber	Mar 2003	B1
6532446	King	Mar 2003	B1
6535610	Stewart	Mar 2003	B1
6535852	Eide	Mar 2003	B2
6535983	McCormack et al.	Mar 2003	B1
6536139	Darley et al.	Mar 2003	B2
6538665	Crow et al.	Mar 2003	B2
6542171	Satou et al.	Apr 2003	B1
6542584	Sherwood et al.	Apr 2003	B1
6546262	Freadman	Apr 2003	B1
6546367	Otsuka	Apr 2003	B2
6546388	Edlund et al.	Apr 2003	B1
6549497	Miyamoto et al.	Apr 2003	B2
6553343	Kagoshima et al.	Apr 2003	B1
6553344	Bellegarda et al.	Apr 2003	B2
6556971	Rigsby et al.	Apr 2003	B1
6556983	Altschuler et al.	Apr 2003	B1
6560903	Darley	May 2003	B1
6563769	Van Der Meulen	May 2003	B1
6564186	Kiraly et al.	May 2003	B1
6582342	Kaufman	Jun 2003	B2
6583806	Ludwig et al.	Jun 2003	B2
6584464	Warthen	Jun 2003	B1
6587403	Keller et al.	Jul 2003	B1
6587404	Keller et al.	Jul 2003	B1
6591379	LeVine et al.	Jul 2003	B1
6594673	Smith et al.	Jul 2003	B1
6594688	Ludwig et al.	Jul 2003	B2
6597345	Hirshberg	Jul 2003	B2
6598021	Shambaugh et al.	Jul 2003	B1
6598022	Yuschik	Jul 2003	B2
6598039	Livowsky	Jul 2003	B1
6598054	Schuetze et al.	Jul 2003	B2
6601026	Appelt et al.	Jul 2003	B2
6601234	Bowman-Amuah	Jul 2003	B1
6603837	Kesanupalli et al.	Aug 2003	B1
6604059	Strubbe et al.	Aug 2003	B2
6606388	Townsend et al.	Aug 2003	B1
6606632	Saulpaugh et al.	Aug 2003	B1
6611789	Darley	Aug 2003	B1
6615172	Bennett et al.	Sep 2003	B1
6615175	Gazdzinski	Sep 2003	B1
6615176	Lewis et al.	Sep 2003	B2
6615220	Austin et al.	Sep 2003	B1
6621768	Keller et al.	Sep 2003	B1
6621892	Banister et al.	Sep 2003	B1
6622121	Crepy et al.	Sep 2003	B1
6622136	Russell	Sep 2003	B2
6623529	Lakritz	Sep 2003	B1
6625583	Silverman et al.	Sep 2003	B1
6628808	Bach et al.	Sep 2003	B1
6631186	Adams et al.	Oct 2003	B1
6631346	Karaorman et al.	Oct 2003	B1
6633846	Bennett et al.	Oct 2003	B1
6633932	Bork et al.	Oct 2003	B1
6643401	Kashioka et al.	Nov 2003	B1
6647260	Dusse et al.	Nov 2003	B2
6650735	Burton et al.	Nov 2003	B2
6654740	Tokuda et al.	Nov 2003	B2
6658389	Alpdemir	Dec 2003	B1
6658577	Huppi et al.	Dec 2003	B2
6662023	Helle	Dec 2003	B1
6665639	Mozer et al.	Dec 2003	B2
6665640	Bennett et al.	Dec 2003	B1
6665641	Coorman et al.	Dec 2003	B1
6671672	Heck	Dec 2003	B1
6671683	Kanno	Dec 2003	B2
6671856	Gillam	Dec 2003	B1
6675169	Bennett et al.	Jan 2004	B1
6675233	Du et al.	Jan 2004	B1
6680675	Suzuki	Jan 2004	B1
6684187	Conkie	Jan 2004	B1
6684376	Kerzman et al.	Jan 2004	B1
6690387	Zimmerman et al.	Feb 2004	B2
6690800	Resnick	Feb 2004	B2
6690828	Meyers	Feb 2004	B2
6691064	Vroman	Feb 2004	B2
6691090	Laurila et al.	Feb 2004	B1
6691111	Lazaridis et al.	Feb 2004	B2
6691151	Cheyer et al.	Feb 2004	B1
6694295	Lindholm et al.	Feb 2004	B2
6694297	Sato	Feb 2004	B2
6697780	Beutnagel et al.	Feb 2004	B1
6697824	Bowman-Amuah	Feb 2004	B1
6701294	Ball et al.	Mar 2004	B1
6701305	Holt et al.	Mar 2004	B1
6701318	Fox et al.	Mar 2004	B2
6704015	Bovarnick et al.	Mar 2004	B1
6704698	Paulsen, Jr. et al.	Mar 2004	B1
6704710	Strong	Mar 2004	B2
6708153	Brittan et al.	Mar 2004	B2
6711585	Copperman et al.	Mar 2004	B1
6714221	Christie et al.	Mar 2004	B1
6716139	Hosseinzadeh-Dolkhani et al.	Apr 2004	B1
6718324	Edlund et al.	Apr 2004	B2
6718331	Davis et al.	Apr 2004	B2
6720980	Lui et al.	Apr 2004	B1
6721728	McGreevy	Apr 2004	B2
6721734	Subasic et al.	Apr 2004	B1
6724370	Dutta et al.	Apr 2004	B2
6728675	Maddalozzo, Jr. et al.	Apr 2004	B1
6728729	Jawa et al.	Apr 2004	B1
6731312	Robbin	May 2004	B2
6732142	Bates et al.	May 2004	B1
6735632	Kiraly et al.	May 2004	B1
6738738	Henton	May 2004	B2
6741264	Lesser	May 2004	B1
6742021	Halverson et al.	May 2004	B1
6751592	Shiga	Jun 2004	B1
6751595	Busayapongchai et al.	Jun 2004	B2
6751621	Calistri-Yeh et al.	Jun 2004	B1
6754504	Reed	Jun 2004	B1
6757362	Cooper et al.	Jun 2004	B1
6757365	Bogard	Jun 2004	B1
6757646	Marchisio	Jun 2004	B2
6757653	Buth et al.	Jun 2004	B2
6757718	Halverson et al.	Jun 2004	B1
6760412	Loucks	Jul 2004	B1
6760700	Lewis et al.	Jul 2004	B2
6760754	Isaacs et al.	Jul 2004	B1
6762741	Weindorf	Jul 2004	B2
6763089	Feigenbaum	Jul 2004	B2
6766294	MacGinite et al.	Jul 2004	B2
6766320	Wang et al.	Jul 2004	B1
6766324	Carlson et al.	Jul 2004	B2
6768979	Menendez-Pidal et al.	Jul 2004	B1
6772123	Cooklev et al.	Aug 2004	B2
6772195	Hatlelid et al.	Aug 2004	B1
6775358	Breitenbach et al.	Aug 2004	B1
6778951	Contractor	Aug 2004	B1
6778952	Bellegarda	Aug 2004	B2
6778962	Kasai et al.	Aug 2004	B1
6778970	Au	Aug 2004	B2
6778979	Grefenstette et al.	Aug 2004	B2
6782510	Gross et al.	Aug 2004	B1
6784901	Harvey et al.	Aug 2004	B1
6789094	Rudoff et al.	Sep 2004	B2
6789231	Reynar et al.	Sep 2004	B1
6790704	Doyle et al.	Sep 2004	B2
6792082	Levine	Sep 2004	B1
6792086	Saylor et al.	Sep 2004	B1
6792407	Kibre et al.	Sep 2004	B2
6794566	Pachet	Sep 2004	B2
6795059	Endo	Sep 2004	B2
6799226	Robbin et al.	Sep 2004	B1
6801604	Maes et al.	Oct 2004	B2
6801964	Mahdavi	Oct 2004	B1
6803905	Capps et al.	Oct 2004	B1
6804649	Miranda	Oct 2004	B2
6804677	Shadmon et al.	Oct 2004	B2
6807536	Achlioptas et al.	Oct 2004	B2
6807574	Partovi et al.	Oct 2004	B1
6810379	Vermeulen et al.	Oct 2004	B1
6813218	Antonelli et al.	Nov 2004	B1
6813491	McKinney	Nov 2004	B1
6813607	Faruquie et al.	Nov 2004	B1
6816578	Kredo et al.	Nov 2004	B1
6820055	Saindon et al.	Nov 2004	B2
6829018	Lin et al.	Dec 2004	B2
6829603	Chai et al.	Dec 2004	B1
6832194	Mozer et al.	Dec 2004	B1
6832381	Mathur et al.	Dec 2004	B1
6836760	Bellegarda et al.	Dec 2004	B1
6839464	Hawkins et al.	Jan 2005	B2
6839669	Gould et al.	Jan 2005	B1
6839670	Stammler et al.	Jan 2005	B1
6839742	Dyer et al.	Jan 2005	B1
6842767	Partovi et al.	Jan 2005	B1
6847966	Sommer et al.	Jan 2005	B1
6847979	Allemang et al.	Jan 2005	B2
6850775	Berg	Feb 2005	B1
6850887	Epstein et al.	Feb 2005	B2
6851115	Cheyer et al.	Feb 2005	B1
6857800	Zhang et al.	Feb 2005	B2
6859931	Cheyer et al.	Feb 2005	B1
6862568	Case	Mar 2005	B2
6862710	Marchisio	Mar 2005	B1
6865533	Addison et al.	Mar 2005	B2
6868045	Schroder	Mar 2005	B1
6868385	Gerson	Mar 2005	B1
6870529	Davis	Mar 2005	B1
6871346	Kumbalimutt et al.	Mar 2005	B1
6873986	McConnell et al.	Mar 2005	B2
6876947	Darley et al.	Apr 2005	B1
6877003	Ho et al.	Apr 2005	B2
6879957	Pechter et al.	Apr 2005	B1
6882335	Saarinen	Apr 2005	B2
6882747	Thawonmas et al.	Apr 2005	B2
6882955	Ohlenbusch et al.	Apr 2005	B1
6882971	Craner	Apr 2005	B2
6885734	Eberle et al.	Apr 2005	B1
6889361	Bates et al.	May 2005	B1
6895084	Saylor et al.	May 2005	B1
6895257	Boman et al.	May 2005	B2
6895380	Sepe, Jr.	May 2005	B2
6895558	Loveland	May 2005	B1
6898550	Blackadar et al.	May 2005	B1
6901364	Nguyen et al.	May 2005	B2
6901399	Corston et al.	May 2005	B1
6904405	Suominen	Jun 2005	B2
6907112	Guedalia et al.	Jun 2005	B1
6910004	Tarbouriech et al.	Jun 2005	B2
6910007	Stylianou et al.	Jun 2005	B2
6910186	Kim	Jun 2005	B2
6911971	Suzuki et al.	Jun 2005	B2
6912407	Clarke et al.	Jun 2005	B1
6912498	Stevens et al.	Jun 2005	B2
6912499	Sabourin et al.	Jun 2005	B1
6915138	Kraft	Jul 2005	B2
6915246	Gusler et al.	Jul 2005	B2
6917373	Vong et al.	Jul 2005	B2
6918677	Shipman	Jul 2005	B2
6924828	Hirsch	Aug 2005	B1
6925438	Mohamed et al.	Aug 2005	B2
6928149	Panjwani et al.	Aug 2005	B1
6928614	Everhart	Aug 2005	B1
6931255	Mekuria	Aug 2005	B2
6931384	Horvitz et al.	Aug 2005	B1
6932708	Yamashita et al.	Aug 2005	B2
6934394	Anderson	Aug 2005	B1
6934684	Alpdemir et al.	Aug 2005	B2
6934756	Maes	Aug 2005	B2
6934812	Robbin et al.	Aug 2005	B1
6937975	Elworthy	Aug 2005	B1
6937986	Denenberg et al.	Aug 2005	B2
6944593	Kuzunuki et al.	Sep 2005	B2
6948094	Schultz et al.	Sep 2005	B2
6950087	Knox et al.	Sep 2005	B2
6950502	Jenkins	Sep 2005	B1
6954755	Reisman	Oct 2005	B2
6954899	Anderson	Oct 2005	B1
6956845	Baker et al.	Oct 2005	B2
6957076	Hunzinger	Oct 2005	B2
6960734	Park	Nov 2005	B1
6961699	Kahn et al.	Nov 2005	B1
6963841	Handal et al.	Nov 2005	B2
6964023	Maes et al.	Nov 2005	B2
6965376	Tani et al.	Nov 2005	B2
6968311	Knockeart et al.	Nov 2005	B2
6970820	Junqua et al.	Nov 2005	B2
6970881	Mohan et al.	Nov 2005	B1
6970915	Partovi et al.	Nov 2005	B1
6970935	Maes	Nov 2005	B1
6976090	Ben-Shaul et al.	Dec 2005	B2
6978127	Bulthuis et al.	Dec 2005	B1
6978239	Chu et al.	Dec 2005	B2
6980949	Ford	Dec 2005	B2
6980955	Okutani et al.	Dec 2005	B2
6983251	Umemoto et al.	Jan 2006	B1
6985858	Frey et al.	Jan 2006	B2
6985865	Packingham et al.	Jan 2006	B1
6988071	Gazdzinski	Jan 2006	B1
6990450	Case et al.	Jan 2006	B2
6996520	Levin	Feb 2006	B2
6996531	Korall et al.	Feb 2006	B2
6996575	Cox et al.	Feb 2006	B2
6999066	Litwiller	Feb 2006	B2
6999914	Boerner et al.	Feb 2006	B1
6999925	Fischer et al.	Feb 2006	B2
6999927	Mozer et al.	Feb 2006	B2
7000189	Dutta et al.	Feb 2006	B2
7003099	Zhang et al.	Feb 2006	B1
7003463	Maes et al.	Feb 2006	B1
7007239	Hawkins et al.	Feb 2006	B1
7010581	Brown et al.	Mar 2006	B2
7013289	Horn et al.	Mar 2006	B2
7013429	Fujimoto et al.	Mar 2006	B2
7020685	Chen et al.	Mar 2006	B1
7024363	Comerford et al.	Apr 2006	B1
7024364	Guerra et al.	Apr 2006	B2
7024366	Deyoe et al.	Apr 2006	B1
7024460	Koopmas et al.	Apr 2006	B2
7027568	Simpson et al.	Apr 2006	B1
7027974	Busch et al.	Apr 2006	B1
7027990	Sussman	Apr 2006	B2
7028252	Baru et al.	Apr 2006	B1
7031530	Driggs et al.	Apr 2006	B2
7031909	Mao et al.	Apr 2006	B2
7035794	Sirivara	Apr 2006	B2
7035801	Jimenez-Feltstrom	Apr 2006	B2
7035807	Brittain et al.	Apr 2006	B1
7036128	Julia et al.	Apr 2006	B1
7038659	Rajkowski	May 2006	B2
7039588	Okutani et al.	May 2006	B2
7043420	Ratnaparkhi	May 2006	B2
7043422	Gao et al.	May 2006	B2
7046230	Zadesky et al.	May 2006	B2
7046850	Braspenning et al.	May 2006	B2
7047193	Bellegarda	May 2006	B1
7050976	Packingham	May 2006	B1
7050977	Bennett	May 2006	B1
7051096	Krawiec et al.	May 2006	B1
7054419	Culliss	May 2006	B2
7054888	LaChapelle et al.	May 2006	B2
7057607	Mayoraz et al.	Jun 2006	B2
7058569	Coorman et al.	Jun 2006	B2
7058888	Gjerstad et al.	Jun 2006	B1
7058889	Trovato et al.	Jun 2006	B2
7062223	Gerber et al.	Jun 2006	B2
7062225	White	Jun 2006	B2
7062428	Hogenhout et al.	Jun 2006	B2
7062438	Kobayashi et al.	Jun 2006	B2
7065185	Koch	Jun 2006	B1
7065485	Chong-White et al.	Jun 2006	B1
7069213	Thompson	Jun 2006	B2
7069220	Coffman et al.	Jun 2006	B2
7069560	Cheyer et al.	Jun 2006	B1
7072686	Schrager	Jul 2006	B1
7072941	Griffin et al.	Jul 2006	B2
7076527	Bellegarda et al.	Jul 2006	B2
7082322	Harano	Jul 2006	B2
7084758	Cole	Aug 2006	B1
7084856	Huppi	Aug 2006	B2
7085723	Ross et al.	Aug 2006	B2
7085960	Bouat et al.	Aug 2006	B2
7092370	Jiang et al.	Aug 2006	B2
7092887	Mozer et al.	Aug 2006	B2
7092928	Elad et al.	Aug 2006	B1
7092950	Wong et al.	Aug 2006	B2
7093693	Gazdzinski	Aug 2006	B1
7095733	Yarlagadda et al.	Aug 2006	B1
7096183	Junqua	Aug 2006	B2
7103548	Squibbs et al.	Sep 2006	B2
7107204	Liu et al.	Sep 2006	B1
7111248	Mulvey et al.	Sep 2006	B2
7113803	Dehlin	Sep 2006	B2
7113943	Bradford et al.	Sep 2006	B2
7115035	Tanaka	Oct 2006	B2
7117231	Fischer et al.	Oct 2006	B2
7123696	Lowe	Oct 2006	B2
7124081	Bellegarda	Oct 2006	B1
7124082	Freedman	Oct 2006	B2
7124164	Chemtob	Oct 2006	B1
7127046	Smith et al.	Oct 2006	B1
7127396	Chu et al.	Oct 2006	B2
7127403	Saylor et al.	Oct 2006	B1
7133900	Szeto	Nov 2006	B1
7136710	Hoffberg et al.	Nov 2006	B1
7136818	Cosatto et al.	Nov 2006	B1
7137126	Coffman et al.	Nov 2006	B1
7139697	Häkkinen et al.	Nov 2006	B2
7139714	Bennett et al.	Nov 2006	B2
7139722	Perrella et al.	Nov 2006	B2
7143028	Hillis et al.	Nov 2006	B2
7143038	Katae	Nov 2006	B2
7143040	Durston et al.	Nov 2006	B2
7146319	Hunt	Dec 2006	B2
7146437	Robbin et al.	Dec 2006	B2
7149319	Roeck	Dec 2006	B2
7149695	Bellegarda	Dec 2006	B1
7149964	Cottrille et al.	Dec 2006	B1
7152070	Musick et al.	Dec 2006	B1
7152093	Ludwig et al.	Dec 2006	B2
7154526	Foote et al.	Dec 2006	B2
7155668	Holland et al.	Dec 2006	B2
7158647	Azima et al.	Jan 2007	B2
7159174	Johnson et al.	Jan 2007	B2
7162412	Yamada et al.	Jan 2007	B2
7162482	Dunning	Jan 2007	B1
7165073	Vandersluis	Jan 2007	B2
7166791	Robbin et al.	Jan 2007	B2
7171360	Huang et al.	Jan 2007	B2
7174295	Kivimaki	Feb 2007	B1
7174297	Guerra et al.	Feb 2007	B2
7177794	Mani et al.	Feb 2007	B2
7177798	Hsu et al.	Feb 2007	B2
7177817	Khosla et al.	Feb 2007	B1
7181386	Mohri et al.	Feb 2007	B2
7181388	Tian	Feb 2007	B2
7185276	Keswa	Feb 2007	B2
7188085	Pelletier	Mar 2007	B2
7190794	Hinde	Mar 2007	B2
7191118	Bellegarda	Mar 2007	B2
7191131	Nagao	Mar 2007	B1
7193615	Kim et al.	Mar 2007	B2
7194186	Strub et al.	Mar 2007	B1
7194413	Mahoney et al.	Mar 2007	B2
7194471	Nagatsuka et al.	Mar 2007	B1
7194611	Bear et al.	Mar 2007	B2
7194699	Thomson et al.	Mar 2007	B2
7197120	Luehrig et al.	Mar 2007	B2
7197460	Gupta et al.	Mar 2007	B1
7200550	Menezes et al.	Apr 2007	B2
7200558	Kato et al.	Apr 2007	B2
7200559	Wang	Apr 2007	B2
7203646	Bennett	Apr 2007	B2
7206809	Ludwig et al.	Apr 2007	B2
7216008	Sakata	May 2007	B2
7216073	Lavi et al.	May 2007	B2
7216080	Tsiao et al.	May 2007	B2
7218920	Hyon	May 2007	B2
7218943	Klassen et al.	May 2007	B2
7219063	Schalk et al.	May 2007	B2
7219123	Fiechter et al.	May 2007	B1
7225125	Bennett et al.	May 2007	B2
7228278	Nguyen et al.	Jun 2007	B2
7231343	Treadgold et al.	Jun 2007	B1
7233790	Kjellberg et al.	Jun 2007	B2
7233904	Luisi	Jun 2007	B2
7234026	Robbin et al.	Jun 2007	B2
7236932	Grajski	Jun 2007	B1
7240002	Minamino et al.	Jul 2007	B2
7243305	Schabes et al.	Jul 2007	B2
7246151	Isaacs et al.	Jul 2007	B2
7251454	White	Jul 2007	B2
7254773	Bates et al.	Aug 2007	B2
7260529	Lengen	Aug 2007	B1
7263373	Mattisson	Aug 2007	B2
7266189	Day	Sep 2007	B1
7266495	Beaufays et al.	Sep 2007	B1
7266496	Wang et al.	Sep 2007	B2
7266499	Surace et al.	Sep 2007	B2
7269544	Simske	Sep 2007	B2
7269556	Kiss et al.	Sep 2007	B2
7275063	Horn	Sep 2007	B2
7277088	Robinson et al.	Oct 2007	B2
7277854	Bennett et al.	Oct 2007	B2
7277855	Acker et al.	Oct 2007	B1
7280958	Pavlov et al.	Oct 2007	B2
7283072	Plachta et al.	Oct 2007	B1
7290039	Lisitsa et al.	Oct 2007	B1
7292579	Morris	Nov 2007	B2
7292979	Karas et al.	Nov 2007	B2
7299033	Kjellberg et al.	Nov 2007	B2
7302392	Thenthiruperai et al.	Nov 2007	B1
7302686	Togawa	Nov 2007	B2
7308408	Stifelman et al.	Dec 2007	B1
7310329	Vieri et al.	Dec 2007	B2
7310600	Garner et al.	Dec 2007	B1
7310605	Janakiraman et al.	Dec 2007	B2
7313523	Bellegarda et al.	Dec 2007	B1
7315818	Stevens et al.	Jan 2008	B2
7319957	Robinson et al.	Jan 2008	B2
7321783	Kim	Jan 2008	B2
7324833	White et al.	Jan 2008	B2
7324947	Jordan et al.	Jan 2008	B2
7328155	Endo et al.	Feb 2008	B2
7349953	Lisitsa et al.	Mar 2008	B2
7353139	Burrell et al.	Apr 2008	B1
7359493	Wang et al.	Apr 2008	B1
7359671	Richenstein et al.	Apr 2008	B2
7359851	Tong et al.	Apr 2008	B2
7362738	Taube et al.	Apr 2008	B2
7363227	Mapes-Riordan et al.	Apr 2008	B2
7365260	Kawashima	Apr 2008	B2
7366461	Brown	Apr 2008	B1
7373612	Risch et al.	May 2008	B2
7376556	Bennett	May 2008	B2
7376632	Sadek et al.	May 2008	B1
7376645	Bernard	May 2008	B2
7378963	Begault et al.	May 2008	B1
7379874	Schmid et al.	May 2008	B2
7380203	Keely et al.	May 2008	B2
7383170	Mills et al.	Jun 2008	B2
7386449	Sun et al.	Jun 2008	B2
7386799	Clanton et al.	Jun 2008	B1
7389224	Elworthy	Jun 2008	B1
7389225	Jensen et al.	Jun 2008	B1
7392185	Bennett	Jun 2008	B2
7394947	Li et al.	Jul 2008	B2
7398209	Kennewick et al.	Jul 2008	B2
7401300	Nurmi	Jul 2008	B2
7403938	Harrison et al.	Jul 2008	B2
7404143	Freelander et al.	Jul 2008	B2
7409337	Potter et al.	Aug 2008	B1
7409347	Bellegarda	Aug 2008	B1
7412470	Masuno et al.	Aug 2008	B2
7415100	Cooper et al.	Aug 2008	B2
7418389	Chu et al.	Aug 2008	B2
7418392	Mozer et al.	Aug 2008	B1
7426467	Nashida et al.	Sep 2008	B2
7426468	Coifman et al.	Sep 2008	B2
7427024	Gazdzinski et al.	Sep 2008	B1
7428541	Houle	Sep 2008	B2
7433869	Gollapudi	Oct 2008	B2
7433921	Ludwig et al.	Oct 2008	B2
7441184	Frerebeau et al.	Oct 2008	B2
7443316	Lim	Oct 2008	B2
7447635	Konopka et al.	Nov 2008	B1
7454351	Jeschke et al.	Nov 2008	B2
7460652	Chang	Dec 2008	B2
7467087	Gillick et al.	Dec 2008	B1
7467164	Marsh	Dec 2008	B2
7472061	Alewine et al.	Dec 2008	B1
7472065	Aaron et al.	Dec 2008	B2
7475010	Chao	Jan 2009	B2
7475063	Datta et al.	Jan 2009	B2
7477238	Fux et al.	Jan 2009	B2
7477240	Yanagisawa	Jan 2009	B2
7478037	Strong	Jan 2009	B2
7478091	Mojsilovic et al.	Jan 2009	B2
7478129	Chemtob	Jan 2009	B1
7483832	Tischer	Jan 2009	B2
7483894	Cao	Jan 2009	B2
7487089	Mozer	Feb 2009	B2
7487093	Mutsuno et al.	Feb 2009	B2
7490034	Finnigan et al.	Feb 2009	B2
7496498	Chu et al.	Feb 2009	B2
7496512	Zhao et al.	Feb 2009	B2
7499923	Kawatani	Mar 2009	B2
7502738	Kennewick et al.	Mar 2009	B2
7505795	Lim et al.	Mar 2009	B1
7508324	Suraqui	Mar 2009	B2
7508373	Lin et al.	Mar 2009	B2
7516123	Betz et al.	Apr 2009	B2
7519327	White	Apr 2009	B2
7522927	Fitch et al.	Apr 2009	B2
7523036	Akabane et al.	Apr 2009	B2
7523108	Cao	Apr 2009	B2
7526466	Au	Apr 2009	B2
7526738	Ording et al.	Apr 2009	B2
7528713	Singh et al.	May 2009	B2
7529671	Rockenbeck et al.	May 2009	B2
7529676	Koyama	May 2009	B2
7535997	McQuaide, Jr. et al.	May 2009	B1
7536029	Choi et al.	May 2009	B2
7536565	Girish et al.	May 2009	B2
7538685	Cooper et al.	May 2009	B1
7539619	Seligman et al.	May 2009	B1
7539656	Fratkina et al.	May 2009	B2
7541940	Upton	Jun 2009	B2
7542967	Hurst-Hiller et al.	Jun 2009	B2
7543232	Easton, Jr. et al.	Jun 2009	B2
7546382	Healey et al.	Jun 2009	B2
7546529	Reynar et al.	Jun 2009	B2
7548895	Pulsipher	Jun 2009	B2
7552045	Barliga et al.	Jun 2009	B2
7552055	Lecoeuche	Jun 2009	B2
7555431	Bennett	Jun 2009	B2
7555496	Lantrip et al.	Jun 2009	B1
7558381	Ali et al.	Jul 2009	B1
7558730	Davis et al.	Jul 2009	B2
7559026	Girish et al.	Jul 2009	B2
7561069	Horstemeyer	Jul 2009	B2
7562007	Hwang	Jul 2009	B2
7565104	Brown et al.	Jul 2009	B1
7565380	Venkatachary	Jul 2009	B1
7571106	Cao et al.	Aug 2009	B2
7577522	Rosenberg	Aug 2009	B2
7580551	Srihari et al.	Aug 2009	B1
7580576	Wang et al.	Aug 2009	B2
7580839	Tamura et al.	Aug 2009	B2
7584093	Potter et al.	Sep 2009	B2
7593868	Margiloff et al.	Sep 2009	B2
7596499	Anguera et al.	Sep 2009	B2
7599918	Shen et al.	Oct 2009	B2
7603381	Burke et al.	Oct 2009	B2
7609179	Diaz-Gutierrez et al.	Oct 2009	B2
7613264	Wells et al.	Nov 2009	B2
7617094	Aoki et al.	Nov 2009	B2
7620407	Donald et al.	Nov 2009	B1
7620549	Di Cristo et al.	Nov 2009	B2
7624007	Bennett	Nov 2009	B2
7627481	Kuo et al.	Dec 2009	B1
7630901	Omi	Dec 2009	B2
7634409	Kennewick et al.	Dec 2009	B2
7634413	Kuo et al.	Dec 2009	B1
7636657	Ju et al.	Dec 2009	B2
7640160	Di Cristo et al.	Dec 2009	B2
7643990	Bellegarda	Jan 2010	B1
7647225	Bennett et al.	Jan 2010	B2
7649454	Singh et al.	Jan 2010	B2
7649877	Vieri et al.	Jan 2010	B2
7656393	King et al.	Feb 2010	B2
7657424	Bennett	Feb 2010	B2
7664558	Lindahl et al.	Feb 2010	B2
7664638	Cooper et al.	Feb 2010	B2
7669134	Christie et al.	Feb 2010	B1
7672841	Bennett	Mar 2010	B2
7672952	Isaacson et al.	Mar 2010	B2
7673238	Girish et al.	Mar 2010	B2
7673340	Cohen et al.	Mar 2010	B1
7676026	Baxter, Jr.	Mar 2010	B1
7676365	Hwang et al.	Mar 2010	B2
7676463	Thompson et al.	Mar 2010	B2
7679534	Kay et al.	Mar 2010	B2
7680649	Park	Mar 2010	B2
7681126	Roose	Mar 2010	B2
7683886	Willey	Mar 2010	B2
7684985	Dominach et al.	Mar 2010	B2
7684990	Caskey et al.	Mar 2010	B2
7684991	Stohr et al.	Mar 2010	B2
7689408	Chen et al.	Mar 2010	B2
7689409	Heinecke	Mar 2010	B2
7689421	Li et al.	Mar 2010	B2
7693715	Hwang et al.	Apr 2010	B2
7693717	Kahn et al.	Apr 2010	B2
7693719	Chu et al.	Apr 2010	B2
7693720	Kennewick et al.	Apr 2010	B2
7698131	Bennett	Apr 2010	B2
7702500	Blaedow	Apr 2010	B2
7702508	Bennett	Apr 2010	B2
7706510	Ng	Apr 2010	B2
7707026	Liu	Apr 2010	B2
7707027	Balchandran et al.	Apr 2010	B2
7707032	Wang et al.	Apr 2010	B2
7707221	Dunning et al.	Apr 2010	B1
7707267	Lisitsa et al.	Apr 2010	B2
7710262	Ruha	May 2010	B2
7711129	Lindahl et al.	May 2010	B2
7711565	Gazdzinski	May 2010	B1
7711672	Au	May 2010	B2
7712053	Bradford et al.	May 2010	B2
7716056	Weng et al.	May 2010	B2
7720674	Kaiser et al.	May 2010	B2
7720683	Vermeulen et al.	May 2010	B1
7721301	Wong et al.	May 2010	B2
7725307	Bennett	May 2010	B2
7725318	Gavalda et al.	May 2010	B2
7725320	Bennett	May 2010	B2
7725321	Bennett	May 2010	B2
7725838	Williams	May 2010	B2
7729904	Bennett	Jun 2010	B2
7729916	Coffman et al.	Jun 2010	B2
7734461	Kwak et al.	Jun 2010	B2
7743188	Haitani et al.	Jun 2010	B2
7747616	Yamada et al.	Jun 2010	B2
7752152	Paek et al.	Jul 2010	B2
7756868	Lee	Jul 2010	B2
7757182	Elliott et al.	Jul 2010	B2
7761296	Bakis et al.	Jul 2010	B1
7763842	Hsu et al.	Jul 2010	B2
7774204	Mozer et al.	Aug 2010	B2
7774388	Runchey	Aug 2010	B1
7778432	Larsen	Aug 2010	B2
7778595	White et al.	Aug 2010	B2
7778632	Kurlander et al.	Aug 2010	B2
7779353	Grigoriu et al.	Aug 2010	B2
7783283	Kuusinen et al.	Aug 2010	B2
7783486	Rosser et al.	Aug 2010	B2
7797265	Brinker et al.	Sep 2010	B2
7797269	Rieman et al.	Sep 2010	B2
7801721	Rosart et al.	Sep 2010	B2
7801728	Ben-David et al.	Sep 2010	B2
7801729	Mozer	Sep 2010	B2
7805299	Coifman	Sep 2010	B2
7809565	Coifman	Oct 2010	B2
7809569	Attwater et al.	Oct 2010	B2
7809570	Kennewick et al.	Oct 2010	B2
7809610	Cao	Oct 2010	B2
7809744	Nevidomski et al.	Oct 2010	B2
7818165	Carlgren et al.	Oct 2010	B2
7818176	Freeman et al.	Oct 2010	B2
7818291	Ferguson et al.	Oct 2010	B2
7822608	Cross, Jr. et al.	Oct 2010	B2
7823123	Sabbouh	Oct 2010	B2
7826945	Zhang et al.	Nov 2010	B2
7827047	Anderson et al.	Nov 2010	B2
7831423	Schubert	Nov 2010	B2
7831426	Bennett	Nov 2010	B2
7831432	Bodin et al.	Nov 2010	B2
7840400	Lavi et al.	Nov 2010	B2
7840447	Kleinrock et al.	Nov 2010	B2
7840581	Ross et al.	Nov 2010	B2
7848924	Nurminen et al.	Dec 2010	B2
7848926	Goto et al.	Dec 2010	B2
7853444	Wang et al.	Dec 2010	B2
7853445	Bachenko et al.	Dec 2010	B2
7853574	Kraenzel et al.	Dec 2010	B2
7853577	Sundaresan et al.	Dec 2010	B2
7853664	Wang et al.	Dec 2010	B1
7869999	Amato et al.	Jan 2011	B2
7870118	Jiang et al.	Jan 2011	B2
7873519	Bennett	Jan 2011	B2
7873654	Bernard	Jan 2011	B2
7877705	Chambers et al.	Jan 2011	B2
7880730	Robinson et al.	Feb 2011	B2
7881936	Longe et al.	Feb 2011	B2
7885844	Cohen et al.	Feb 2011	B1
7890330	Ozkaragoz et al.	Feb 2011	B2
7890652	Bull et al.	Feb 2011	B2
7899666	Varone	Mar 2011	B2
7908287	Katragadda	Mar 2011	B1
7912699	Saraclar et al.	Mar 2011	B1
7912702	Bennett	Mar 2011	B2
7917367	Di Cristo et al.	Mar 2011	B2
7917497	Harrison et al.	Mar 2011	B2
7920678	Cooper et al.	Apr 2011	B2
7920682	Byrne et al.	Apr 2011	B2
7920857	Lau et al.	Apr 2011	B2
7925525	Chin	Apr 2011	B2
7925610	Elbaz et al.	Apr 2011	B2
7929805	Wang et al.	Apr 2011	B2
7930168	Weng et al.	Apr 2011	B2
7930183	Odell et al.	Apr 2011	B2
7930197	Ozzie et al.	Apr 2011	B2
7941009	Li et al.	May 2011	B2
7949529	Weider et al.	May 2011	B2
7949534	Davis et al.	May 2011	B2
7953679	Chidlovskii et al.	May 2011	B2
7962179	Huang	Jun 2011	B2
7974844	Sumita	Jul 2011	B2
7974972	Cao	Jul 2011	B2
7983915	Knight et al.	Jul 2011	B2
7983917	Kennewick et al.	Jul 2011	B2
7983919	Conkie	Jul 2011	B2
7983997	Allen et al.	Jul 2011	B2
7984062	Dunning et al.	Jul 2011	B2
7986431	Emori et al.	Jul 2011	B2
7987151	Schott et al.	Jul 2011	B2
7987244	Lewis et al.	Jul 2011	B1
7991614	Washio et al.	Aug 2011	B2
7996228	Miller et al.	Aug 2011	B2
7999669	Singh et al.	Aug 2011	B2
8000453	Cooper et al.	Aug 2011	B2
8005664	Hanumanthappa	Aug 2011	B2
8005679	Jordan et al.	Aug 2011	B2
8006180	Tunning et al.	Aug 2011	B2
8015006	Kennewick et al.	Sep 2011	B2
8015011	Nagano et al.	Sep 2011	B2
8015144	Zheng et al.	Sep 2011	B2
8019271	Izdepski	Sep 2011	B1
8024195	Mozer et al.	Sep 2011	B2
8027836	Baker et al.	Sep 2011	B2
8032383	Bhardwaj et al.	Oct 2011	B1
8036901	Mozer	Oct 2011	B2
8037034	Plachta et al.	Oct 2011	B2
8041557	Liu	Oct 2011	B2
8041570	Mirkovic et al.	Oct 2011	B2
8041611	Kleinrock et al.	Oct 2011	B2
8046363	Cha et al.	Oct 2011	B2
8050500	Batty et al.	Nov 2011	B1
8055502	Clark et al.	Nov 2011	B2
8055708	Chitsaz et al.	Nov 2011	B2
8065143	Yanagihara	Nov 2011	B2
8065155	Gazdzinski	Nov 2011	B1
8065156	Gazdzinski	Nov 2011	B2
8069046	Kennewick et al.	Nov 2011	B2
8069422	Sheshagiri et al.	Nov 2011	B2
8073681	Baldwin et al.	Dec 2011	B2
8078473	Gazdzinski	Dec 2011	B1
8082153	Coffman et al.	Dec 2011	B2
8082498	Salamon et al.	Dec 2011	B2
8090571	Elshishiny et al.	Jan 2012	B2
8095364	Longe et al.	Jan 2012	B2
8099289	Mozer et al.	Jan 2012	B2
8099418	Inoue et al.	Jan 2012	B2
8103510	Sato	Jan 2012	B2
8107401	John et al.	Jan 2012	B2
8112275	Kennewick et al.	Feb 2012	B2
8112280	Lu	Feb 2012	B2
8117037	Gazdzinski	Feb 2012	B2
8122353	Bouta	Feb 2012	B2
8131557	Davis et al.	Mar 2012	B2
8135115	Hogg, Jr. et al.	Mar 2012	B1
8138912	Singh et al.	Mar 2012	B2
8140335	Kennewick et al.	Mar 2012	B2
8140567	Padovitz et al.	Mar 2012	B2
8150694	Kennewick et al.	Apr 2012	B2
8150700	Shin et al.	Apr 2012	B2
8155956	Cho et al.	Apr 2012	B2
8156005	Vieri	Apr 2012	B2
8165321	Paquier et al.	Apr 2012	B2
8165886	Gagnon et al.	Apr 2012	B1
8166019	Lee et al.	Apr 2012	B1
8170790	Lee et al.	May 2012	B2
8179370	Yamasani et al.	May 2012	B1
8188856	Singh et al.	May 2012	B2
8190359	Bourne	May 2012	B2
8195467	Mozer et al.	Jun 2012	B2
8200495	Braho et al.	Jun 2012	B2
8204238	Mozer	Jun 2012	B2
8205788	Gazdzinski et al.	Jun 2012	B1
8219115	Nelissen	Jul 2012	B1
8219406	Yu et al.	Jul 2012	B2
8219407	Roy et al.	Jul 2012	B1
8219608	alSafadi et al.	Jul 2012	B2
8224649	Chaudhari et al.	Jul 2012	B2
8239207	Seligman et al.	Aug 2012	B2
8255217	Stent et al.	Aug 2012	B2
8275621	Alewine et al.	Sep 2012	B2
8285546	Reich	Oct 2012	B2
8285551	Gazdzinski	Oct 2012	B2
8285553	Gazdzinski	Oct 2012	B2
8290777	Nguyen et al.	Oct 2012	B1
8290778	Gazdzinski	Oct 2012	B2
8290781	Gazdzinski	Oct 2012	B2
8296146	Gazdzinski	Oct 2012	B2
8296153	Gazdzinski	Oct 2012	B2
8296383	Lindahl	Oct 2012	B2
8301456	Gazdzinski	Oct 2012	B2
8311834	Gazdzinski	Nov 2012	B1
8332224	Di Cristo et al.	Dec 2012	B2
8345665	Vieri et al.	Jan 2013	B2
8352268	Naik et al.	Jan 2013	B2
8352272	Rogers et al.	Jan 2013	B2
8355919	Silverman et al.	Jan 2013	B2
8359234	Vieri	Jan 2013	B2
8370158	Gazdzinski	Feb 2013	B2
8371503	Gazdzinski	Feb 2013	B2
8374871	Ehsani et al.	Feb 2013	B2
8380504	Peden et al.	Feb 2013	B1
8381107	Rottler et al.	Feb 2013	B2
8396714	Rogers et al.	Mar 2013	B2
8428758	Naik et al.	Apr 2013	B2
8447612	Gazdzinski	May 2013	B2
8498857	Kopparapu et al.	Jul 2013	B2
8521513	Millett et al.	Aug 2013	B2
8595004	Koshinaka	Nov 2013	B2
8620659	Di Cristo et al.	Dec 2013	B2
8645137	Bellegarda et al.	Feb 2014	B2
8660849	Gruber et al.	Feb 2014	B2
8660970	Fiedorowicz	Feb 2014	B1
20010005859	Okuyama et al.	Jun 2001	A1
20010020259	Sekiguchi et al.	Sep 2001	A1
20010027396	Sato	Oct 2001	A1
20010029455	Chin et al.	Oct 2001	A1
20010030660	Zainoulline	Oct 2001	A1
20010032080	Fukada	Oct 2001	A1
20010041021	Boyle et al.	Nov 2001	A1
20010042107	Palm	Nov 2001	A1
20010044724	Hon et al.	Nov 2001	A1
20010047264	Roundtree	Nov 2001	A1
20010056342	Piehn et al.	Dec 2001	A1
20010056347	Chazan et al.	Dec 2001	A1
20020001395	Davis et al.	Jan 2002	A1
20020002039	Qureshey et al.	Jan 2002	A1
20020002413	Tokue	Jan 2002	A1
20020002461	Tetsumoto	Jan 2002	A1
20020004703	Gaspard, II	Jan 2002	A1
20020010581	Euler et al.	Jan 2002	A1
20020010584	Schultz et al.	Jan 2002	A1
20020010726	Rogson	Jan 2002	A1
20020010798	Ben-Shaul et al.	Jan 2002	A1
20020013784	Swanson	Jan 2002	A1
20020013852	Janik	Jan 2002	A1
20020015064	Robotham et al.	Feb 2002	A1
20020021278	Hinckley et al.	Feb 2002	A1
20020026315	Miranda	Feb 2002	A1
20020026456	Bradford	Feb 2002	A1
20020031254	Lantrip et al.	Mar 2002	A1
20020031262	Imagawa et al.	Mar 2002	A1
20020032564	Ehsani et al.	Mar 2002	A1
20020032751	Bharadwaj	Mar 2002	A1
20020035467	Morimoto et al.	Mar 2002	A1
20020035469	Holzapfel	Mar 2002	A1
20020035474	Alpdemir	Mar 2002	A1
20020040359	Green et al.	Apr 2002	A1
20020042707	Zhao et al.	Apr 2002	A1
20020045438	Tagawa et al.	Apr 2002	A1
20020045961	Gibbs et al.	Apr 2002	A1
20020046025	Hain	Apr 2002	A1
20020046315	Miller et al.	Apr 2002	A1
20020052730	Nakao	May 2002	A1
20020052740	Charlesworth et al.	May 2002	A1
20020052747	Sarukkai	May 2002	A1
20020054094	Matsuda	May 2002	A1
20020055844	L'Esperance et al.	May 2002	A1
20020055934	Lipscomb et al.	May 2002	A1
20020059066	O'hagan	May 2002	A1
20020059068	Rose et al.	May 2002	A1
20020065659	Isono et al.	May 2002	A1
20020067308	Robertson	Jun 2002	A1
20020069063	Buchner et al.	Jun 2002	A1
20020069220	Tran	Jun 2002	A1
20020072816	Shdema et al.	Jun 2002	A1
20020072908	Case et al.	Jun 2002	A1
20020077082	Cruickshank	Jun 2002	A1
20020077817	Atal	Jun 2002	A1
20020078041	Wu	Jun 2002	A1
20020080163	Morey	Jun 2002	A1
20020085037	Leavitt et al.	Jul 2002	A1
20020087508	Hull et al.	Jul 2002	A1
20020091511	Hellwig et al.	Jul 2002	A1
20020095286	Ross et al.	Jul 2002	A1
20020099547	Chu et al.	Jul 2002	A1
20020099552	Rubin et al.	Jul 2002	A1
20020103641	Kuo et al.	Aug 2002	A1
20020103646	Kochanski et al.	Aug 2002	A1
20020107684	Gao	Aug 2002	A1
20020109709	Sagar	Aug 2002	A1
20020111810	Khan et al.	Aug 2002	A1
20020116082	Gudorf	Aug 2002	A1
20020116171	Russell	Aug 2002	A1
20020116185	Cooper et al.	Aug 2002	A1
20020116189	Yeh et al.	Aug 2002	A1
20020120697	Generous et al.	Aug 2002	A1
20020120925	Logan	Aug 2002	A1
20020122053	Dutta et al.	Sep 2002	A1
20020123894	Woodward	Sep 2002	A1
20020126097	Savolainen	Sep 2002	A1
20020128827	Bu et al.	Sep 2002	A1
20020128840	Hinde et al.	Sep 2002	A1
20020133347	Schoneburg et al.	Sep 2002	A1
20020133348	Pearson et al.	Sep 2002	A1
20020135565	Gordon et al.	Sep 2002	A1
20020138254	Isaka et al.	Sep 2002	A1
20020138265	Stevens et al.	Sep 2002	A1
20020138270	Bellegarda et al.	Sep 2002	A1
20020138616	Basson et al.	Sep 2002	A1
20020140679	Wen	Oct 2002	A1
20020143533	Lucas et al.	Oct 2002	A1
20020143542	Eide	Oct 2002	A1
20020143551	Sharma et al.	Oct 2002	A1
20020143826	Day et al.	Oct 2002	A1
20020151297	Remboski et al.	Oct 2002	A1
20020152045	Dowling et al.	Oct 2002	A1
20020152255	Smith et al.	Oct 2002	A1
20020154160	Hosokawa	Oct 2002	A1
20020161865	Nguyen	Oct 2002	A1
20020163544	Baker et al.	Nov 2002	A1
20020164000	Cohen et al.	Nov 2002	A1
20020165918	Bettis	Nov 2002	A1
20020169592	Aityan	Nov 2002	A1
20020169605	Damiba et al.	Nov 2002	A1
20020173273	Spurgat et al.	Nov 2002	A1
20020173889	Odinak et al.	Nov 2002	A1
20020173961	Guerra	Nov 2002	A1
20020173962	Tang et al.	Nov 2002	A1
20020173966	Henton	Nov 2002	A1
20020177993	Veditz et al.	Nov 2002	A1
20020184189	Hay et al.	Dec 2002	A1
20020189426	Hirade et al.	Dec 2002	A1
20020191029	Gillespie et al.	Dec 2002	A1
20020193996	Squibbs et al.	Dec 2002	A1
20020198714	Zhou	Dec 2002	A1
20020198715	Belrose	Dec 2002	A1
20030001881	Mannheimer et al.	Jan 2003	A1
20030002632	Bhogal et al.	Jan 2003	A1
20030013483	Ausems et al.	Jan 2003	A1
20030016770	Trans et al.	Jan 2003	A1
20030020760	Takatsu et al.	Jan 2003	A1
20030026402	Clapper	Feb 2003	A1
20030028380	Freeland et al.	Feb 2003	A1
20030033153	Olson et al.	Feb 2003	A1
20030033214	Mikkelsen et al.	Feb 2003	A1
20030037073	Tokuda et al.	Feb 2003	A1
20030037254	Fischer et al.	Feb 2003	A1
20030040908	Yang et al.	Feb 2003	A1
20030046401	Abbott et al.	Mar 2003	A1
20030046434	Flanagin et al.	Mar 2003	A1
20030050781	Tamura et al.	Mar 2003	A1
20030051136	Curtis et al.	Mar 2003	A1
20030061317	Brown et al.	Mar 2003	A1
20030074198	Sussman	Apr 2003	A1
20030074457	Kluth	Apr 2003	A1
20030076301	Tsuk et al.	Apr 2003	A1
20030078766	Appelt et al.	Apr 2003	A1
20030078780	Kochanski et al.	Apr 2003	A1
20030078969	Sprague et al.	Apr 2003	A1
20030079024	Hough et al.	Apr 2003	A1
20030079038	Robbin et al.	Apr 2003	A1
20030080991	Crow et al.	May 2003	A1
20030083878	Lee et al.	May 2003	A1
20030083884	Odinak et al.	May 2003	A1
20030088414	Huang et al.	May 2003	A1
20030090467	Hohl et al.	May 2003	A1
20030090474	Schaefer	May 2003	A1
20030095096	Robbin et al.	May 2003	A1
20030097210	Horst et al.	May 2003	A1
20030097379	Ireton	May 2003	A1
20030097408	Kageyama et al.	May 2003	A1
20030098892	Hiipakka	May 2003	A1
20030099335	Tanaka et al.	May 2003	A1
20030101045	Moffatt et al.	May 2003	A1
20030115060	Junqua et al.	Jun 2003	A1
20030115064	Gusler et al.	Jun 2003	A1
20030115186	Wilkinson et al.	Jun 2003	A1
20030115552	Jahnke et al.	Jun 2003	A1
20030117365	Shteyn	Jun 2003	A1
20030120494	Jost et al.	Jun 2003	A1
20030122787	Zimmerman et al.	Jul 2003	A1
20030125927	Seme	Jul 2003	A1
20030126559	Fuhrmann	Jul 2003	A1
20030128819	Lee et al.	Jul 2003	A1
20030133694	Yea	Jul 2003	A1
20030134678	Tanaka	Jul 2003	A1
20030135740	Talmor et al.	Jul 2003	A1
20030144846	Denenberge et al.	Jul 2003	A1
20030145285	Miyahira et al.	Jul 2003	A1
20030147512	Abburi	Aug 2003	A1
20030149557	Cox et al.	Aug 2003	A1
20030149567	Schmitz et al.	Aug 2003	A1
20030149978	Plotnick	Aug 2003	A1
20030152203	Berger et al.	Aug 2003	A1
20030154081	Chu et al.	Aug 2003	A1
20030157968	Boman et al.	Aug 2003	A1
20030158735	Yamada et al.	Aug 2003	A1
20030158737	Csicsatka	Aug 2003	A1
20030160702	Tanaka	Aug 2003	A1
20030163316	Addison et al.	Aug 2003	A1
20030164848	Dutta et al.	Sep 2003	A1
20030167318	Robbin et al.	Sep 2003	A1
20030167335	Alexander	Sep 2003	A1
20030171928	Falcon et al.	Sep 2003	A1
20030171936	Sall et al.	Sep 2003	A1
20030179222	Noma et al.	Sep 2003	A1
20030187655	Dunsmuir	Oct 2003	A1
20030187844	Li et al.	Oct 2003	A1
20030187925	Inala et al.	Oct 2003	A1
20030190074	Loudon et al.	Oct 2003	A1
20030191645	Zhou	Oct 2003	A1
20030193481	Sokolsky	Oct 2003	A1
20030195741	Mani et al.	Oct 2003	A1
20030197736	Murphy	Oct 2003	A1
20030197744	Irvine	Oct 2003	A1
20030200858	Xie	Oct 2003	A1
20030204392	Finnigan et al.	Oct 2003	A1
20030204492	Wolf et al.	Oct 2003	A1
20030208756	Macrae et al.	Nov 2003	A1
20030210266	Cragun et al.	Nov 2003	A1
20030212961	Soin et al.	Nov 2003	A1
20030214519	Smith et al.	Nov 2003	A1
20030224760	Day	Dec 2003	A1
20030228863	Vander Veen et al.	Dec 2003	A1
20030228909	Tanaka et al.	Dec 2003	A1
20030229490	Etter	Dec 2003	A1
20030229616	Wong	Dec 2003	A1
20030233230	Ammicht et al.	Dec 2003	A1
20030233237	Garside et al.	Dec 2003	A1
20030233240	Kaatrasalo	Dec 2003	A1
20030234824	Litwiller	Dec 2003	A1
20030236663	Dimitrova et al.	Dec 2003	A1
20040001396	Keller et al.	Jan 2004	A1
20040006467	Anisimovich et al.	Jan 2004	A1
20040012556	Yong et al.	Jan 2004	A1
20040013252	Craner	Jan 2004	A1
20040021676	Chen et al.	Feb 2004	A1
20040022373	Suder et al.	Feb 2004	A1
20040023643	Vander Veen et al.	Feb 2004	A1
20040030556	Bennett	Feb 2004	A1
20040030996	Van Liempd et al.	Feb 2004	A1
20040036715	Warren	Feb 2004	A1
20040048627	Olvera-Hernandez	Mar 2004	A1
20040049391	Polanyi et al.	Mar 2004	A1
20040051729	Borden, IV	Mar 2004	A1
20040052338	Celi, Jr. et al.	Mar 2004	A1
20040054533	Bellegarda	Mar 2004	A1
20040054534	Junqua	Mar 2004	A1
20040054535	Mackie et al.	Mar 2004	A1
20040054541	Kryze et al.	Mar 2004	A1
20040054690	Hillerbrand et al.	Mar 2004	A1
20040055446	Robbin et al.	Mar 2004	A1
20040056899	Sinclair, II et al.	Mar 2004	A1
20040059577	Pickering	Mar 2004	A1
20040059790	Austin-Lane et al.	Mar 2004	A1
20040061717	Menon et al.	Apr 2004	A1
20040062367	Fellenstein et al.	Apr 2004	A1
20040064593	Sinclair et al.	Apr 2004	A1
20040069122	Wilson	Apr 2004	A1
20040070567	Longe et al.	Apr 2004	A1
20040070612	Sinclair et al.	Apr 2004	A1
20040073427	Moore	Apr 2004	A1
20040073428	Zlokarnik et al.	Apr 2004	A1
20040076086	Keller et al.	Apr 2004	A1
20040078382	Mercer et al.	Apr 2004	A1
20040085162	Agarwal et al.	May 2004	A1
20040086120	Akins, III et al.	May 2004	A1
20040093213	Conkie	May 2004	A1
20040093215	Gupta et al.	May 2004	A1
20040094018	Ueshima et al.	May 2004	A1
20040100479	Nakano et al.	May 2004	A1
20040106432	Kanamori et al.	Jun 2004	A1
20040107169	Lowe	Jun 2004	A1
20040111266	Coorman et al.	Jun 2004	A1
20040111332	Baar et al.	Jun 2004	A1
20040114731	Gillett et al.	Jun 2004	A1
20040122656	Abir	Jun 2004	A1
20040124583	Landis	Jul 2004	A1
20040125088	Zimmerman et al.	Jul 2004	A1
20040125922	Specht	Jul 2004	A1
20040127198	Roskind et al.	Jul 2004	A1
20040127241	Shostak	Jul 2004	A1
20040128137	Bush et al.	Jul 2004	A1
20040133817	Choi	Jul 2004	A1
20040135701	Yasuda et al.	Jul 2004	A1
20040135774	La Monica	Jul 2004	A1
20040136510	Vander Veen	Jul 2004	A1
20040138869	Heinecke	Jul 2004	A1
20040145607	Alderson	Jul 2004	A1
20040153306	Tanner et al.	Aug 2004	A1
20040160419	Padgitt	Aug 2004	A1
20040162741	Flaxer et al.	Aug 2004	A1
20040176958	Salmenkaita et al.	Sep 2004	A1
20040177319	Horn	Sep 2004	A1
20040178994	Kairls, Jr.	Sep 2004	A1
20040183833	Chua	Sep 2004	A1
20040186713	Gomas et al.	Sep 2004	A1
20040186714	Baker	Sep 2004	A1
20040186777	Margiloff et al.	Sep 2004	A1
20040193398	Chu et al.	Sep 2004	A1
20040193420	Kennewick et al.	Sep 2004	A1
20040193421	Blass	Sep 2004	A1
20040193426	Maddux et al.	Sep 2004	A1
20040196256	Wobbrock et al.	Oct 2004	A1
20040198436	Alden	Oct 2004	A1
20040199375	Ehsani et al.	Oct 2004	A1
20040199387	Wang et al.	Oct 2004	A1
20040199663	Horvitz et al.	Oct 2004	A1
20040203520	Schirtzinger et al.	Oct 2004	A1
20040205151	Sprigg et al.	Oct 2004	A1
20040205671	Sukehiro et al.	Oct 2004	A1
20040208302	Urban et al.	Oct 2004	A1
20040210634	Ferrer et al.	Oct 2004	A1
20040215731	Tzann-en Szeto	Oct 2004	A1
20040218451	Said et al.	Nov 2004	A1
20040220798	Chi et al.	Nov 2004	A1
20040223485	Arellano et al.	Nov 2004	A1
20040224638	Fadell et al.	Nov 2004	A1
20040225650	Cooper et al.	Nov 2004	A1
20040225746	Niell et al.	Nov 2004	A1
20040236778	Junqua et al.	Nov 2004	A1
20040242286	Benco et al.	Dec 2004	A1
20040243419	Wang	Dec 2004	A1
20040249629	Webster	Dec 2004	A1
20040249667	Oon	Dec 2004	A1
20040252119	Hunleth et al.	Dec 2004	A1
20040252604	Johnson et al.	Dec 2004	A1
20040252966	Holloway et al.	Dec 2004	A1
20040254791	Coifman et al.	Dec 2004	A1
20040254792	Busayapongchai et al.	Dec 2004	A1
20040257432	Girish et al.	Dec 2004	A1
20040259536	Keskar et al.	Dec 2004	A1
20040263636	Cutler et al.	Dec 2004	A1
20040267825	Novak et al.	Dec 2004	A1
20040268262	Gupta et al.	Dec 2004	A1
20050002507	Timmins et al.	Jan 2005	A1
20050015254	Beaman	Jan 2005	A1
20050015772	Saare et al.	Jan 2005	A1
20050022114	Shanahan et al.	Jan 2005	A1
20050024341	Gillespie et al.	Feb 2005	A1
20050024345	Eastty et al.	Feb 2005	A1
20050027385	Yueh	Feb 2005	A1
20050030175	Wolfe	Feb 2005	A1
20050031106	Henderson	Feb 2005	A1
20050033582	Gadd et al.	Feb 2005	A1
20050033771	Schmitter et al.	Feb 2005	A1
20050043946	Ueyama et al.	Feb 2005	A1
20050043949	Roth et al.	Feb 2005	A1
20050044569	Marcus	Feb 2005	A1
20050045373	Born	Mar 2005	A1
20050049880	Roth et al.	Mar 2005	A1
20050055403	Brittan	Mar 2005	A1
20050058438	Hayashi	Mar 2005	A1
20050060155	Chu et al.	Mar 2005	A1
20050071165	Hofstader et al.	Mar 2005	A1
20050071332	Ortega et al.	Mar 2005	A1
20050071437	Bear et al.	Mar 2005	A1
20050074113	Mathew et al.	Apr 2005	A1
20050080613	Colledge et al.	Apr 2005	A1
20050080625	Bennett et al.	Apr 2005	A1
20050080632	Endo et al.	Apr 2005	A1
20050080780	Colledge et al.	Apr 2005	A1
20050086059	Bennett	Apr 2005	A1
20050086605	Ferrer et al.	Apr 2005	A1
20050091118	Fano	Apr 2005	A1
20050099398	Garside et al.	May 2005	A1
20050100214	Zhang et al.	May 2005	A1
20050102144	Rapoport	May 2005	A1
20050102614	Brackett et al.	May 2005	A1
20050102625	Lee et al.	May 2005	A1
20050108001	Aarskog	May 2005	A1
20050108074	Bloechl et al.	May 2005	A1
20050108338	Simske et al.	May 2005	A1
20050108344	Tafoya et al.	May 2005	A1
20050114124	Liu et al.	May 2005	A1
20050114140	Brackett et al.	May 2005	A1
20050119890	Hirose	Jun 2005	A1
20050119897	Bennett et al.	Jun 2005	A1
20050125216	Chitrapura et al.	Jun 2005	A1
20050125235	Lazay et al.	Jun 2005	A1
20050131951	Zhang et al.	Jun 2005	A1
20050132301	Ikeda	Jun 2005	A1
20050136949	Barnes, Jr.	Jun 2005	A1
20050138305	Zellner	Jun 2005	A1
20050140504	Marshall et al.	Jun 2005	A1
20050143972	Gopalakrishnan et al.	Jun 2005	A1
20050144003	Iso-Sipila	Jun 2005	A1
20050144070	Cheshire	Jun 2005	A1
20050144568	Gruen et al.	Jun 2005	A1
20050148356	Ferguson et al.	Jul 2005	A1
20050149214	Yoo et al.	Jul 2005	A1
20050149330	Katae	Jul 2005	A1
20050149332	Kuzunuki et al.	Jul 2005	A1
20050149510	Shafrir	Jul 2005	A1
20050152558	Van Tassel	Jul 2005	A1
20050152602	Chen et al.	Jul 2005	A1
20050154578	Tong et al.	Jul 2005	A1
20050162395	Unruh	Jul 2005	A1
20050165607	Di Fabbrizio et al.	Jul 2005	A1
20050166153	Eytchison et al.	Jul 2005	A1
20050177445	Church	Aug 2005	A1
20050181770	Helferich	Aug 2005	A1
20050182616	Kotipalli	Aug 2005	A1
20050182627	Tanaka et al.	Aug 2005	A1
20050182628	Choi	Aug 2005	A1
20050182629	Coorman et al.	Aug 2005	A1
20050182630	Miro et al.	Aug 2005	A1
20050187773	Filoche et al.	Aug 2005	A1
20050190970	Griffin	Sep 2005	A1
20050192801	Lewis et al.	Sep 2005	A1
20050195429	Archbold	Sep 2005	A1
20050196733	Budra et al.	Sep 2005	A1
20050201572	Lindahl et al.	Sep 2005	A1
20050203747	Lecoeuche	Sep 2005	A1
20050203991	Kawamura et al.	Sep 2005	A1
20050209848	Ishii	Sep 2005	A1
20050210394	Crandall et al.	Sep 2005	A1
20050216331	Ahrens et al.	Sep 2005	A1
20050222843	Kahn et al.	Oct 2005	A1
20050222973	Kaiser	Oct 2005	A1
20050228665	Kobayashi et al.	Oct 2005	A1
20050245243	Zuniga	Nov 2005	A1
20050246350	Canaran	Nov 2005	A1
20050246365	Lowles et al.	Nov 2005	A1
20050271216	Lashkari	Dec 2005	A1
20050273337	Erell et al.	Dec 2005	A1
20050273626	Pearson et al.	Dec 2005	A1
20050278297	Nelson	Dec 2005	A1
20050278643	Ukai et al.	Dec 2005	A1
20050278647	Leavitt et al.	Dec 2005	A1
20050283364	Longe et al.	Dec 2005	A1
20050283726	Lunati	Dec 2005	A1
20050288934	Omi	Dec 2005	A1
20050288936	Busayapongchai et al.	Dec 2005	A1
20050289463	Wu et al.	Dec 2005	A1
20060001652	Chiu et al.	Jan 2006	A1
20060004570	Ju et al.	Jan 2006	A1
20060004744	Nevidomski et al.	Jan 2006	A1
20060007174	Shen	Jan 2006	A1
20060009973	Nguyen et al.	Jan 2006	A1
20060013414	Shih	Jan 2006	A1
20060015819	Hawkins et al.	Jan 2006	A1
20060018446	Schmandt et al.	Jan 2006	A1
20060018492	Chiu et al.	Jan 2006	A1
20060025999	Feng et al.	Feb 2006	A1
20060026233	Tenembaum et al.	Feb 2006	A1
20060026521	Hotelling et al.	Feb 2006	A1
20060026535	Hotelling et al.	Feb 2006	A1
20060033724	Chaudhri et al.	Feb 2006	A1
20060035632	Sorvari et al.	Feb 2006	A1
20060041424	Todhunter et al.	Feb 2006	A1
20060041431	Maes	Feb 2006	A1
20060047632	Zhang	Mar 2006	A1
20060050865	Kortum et al.	Mar 2006	A1
20060053379	Henderson et al.	Mar 2006	A1
20060061488	Dunton	Mar 2006	A1
20060067535	Culbert et al.	Mar 2006	A1
20060067536	Culbert et al.	Mar 2006	A1
20060069567	Tischer et al.	Mar 2006	A1
20060072248	Watanabe et al.	Apr 2006	A1
20060072716	Pham	Apr 2006	A1
20060074660	Waters et al.	Apr 2006	A1
20060074674	Zhang et al.	Apr 2006	A1
20060074750	Clark et al.	Apr 2006	A1
20060074898	Gavalda et al.	Apr 2006	A1
20060077055	Basir	Apr 2006	A1
20060080098	Campbell	Apr 2006	A1
20060085187	Barquilla	Apr 2006	A1
20060085465	Nori et al.	Apr 2006	A1
20060095265	Chu et al.	May 2006	A1
20060095846	Nurmi	May 2006	A1
20060095848	Naik	May 2006	A1
20060100848	Cozzi et al.	May 2006	A1
20060100849	Chan	May 2006	A1
20060106592	Brockett et al.	May 2006	A1
20060106594	Brockett et al.	May 2006	A1
20060106595	Brockett et al.	May 2006	A1
20060111906	Cross et al.	May 2006	A1
20060111909	Maes et al.	May 2006	A1
20060116874	Samuelsson et al.	Jun 2006	A1
20060116877	Pickering et al.	Jun 2006	A1
20060117002	Swen	Jun 2006	A1
20060119582	Ng et al.	Jun 2006	A1
20060122834	Bennett	Jun 2006	A1
20060122836	Cross et al.	Jun 2006	A1
20060129929	Weber et al.	Jun 2006	A1
20060143007	Koh et al.	Jun 2006	A1
20060143576	Gupta et al.	Jun 2006	A1
20060148520	Baker et al.	Jul 2006	A1
20060152496	Knaven	Jul 2006	A1
20060153040	Girish et al.	Jul 2006	A1
20060156252	Sheshagiri et al.	Jul 2006	A1
20060161872	Rytivaara et al.	Jul 2006	A1
20060167676	Plumb	Jul 2006	A1
20060168150	Naik et al.	Jul 2006	A1
20060168507	Hansen	Jul 2006	A1
20060168539	Hawkins et al.	Jul 2006	A1
20060174207	Deshpande	Aug 2006	A1
20060184886	Chung et al.	Aug 2006	A1
20060187073	Lin et al.	Aug 2006	A1
20060190269	Tessel et al.	Aug 2006	A1
20060190577	Yamada	Aug 2006	A1
20060193518	Dong	Aug 2006	A1
20060195206	Moon et al.	Aug 2006	A1
20060195323	Monne et al.	Aug 2006	A1
20060197753	Hotelling	Sep 2006	A1
20060197755	Bawany	Sep 2006	A1
20060200253	Hoffberg et al.	Sep 2006	A1
20060200342	Corston-Oliver et al.	Sep 2006	A1
20060200347	Kim et al.	Sep 2006	A1
20060205432	Hawkins et al.	Sep 2006	A1
20060206454	Forstall et al.	Sep 2006	A1
20060212415	Backer et al.	Sep 2006	A1
20060217967	Goertzen et al.	Sep 2006	A1
20060221788	Lindahl et al.	Oct 2006	A1
20060229870	Kobal	Oct 2006	A1
20060229876	Aaron et al.	Oct 2006	A1
20060234680	Doulton	Oct 2006	A1
20060235550	Csicsatka et al.	Oct 2006	A1
20060235700	Wong et al.	Oct 2006	A1
20060235841	Betz et al.	Oct 2006	A1
20060236262	Bathiche et al.	Oct 2006	A1
20060239419	Joseph et al.	Oct 2006	A1
20060239471	Mao et al.	Oct 2006	A1
20060240866	Eilts et al.	Oct 2006	A1
20060242190	Wnek	Oct 2006	A1
20060246955	Nirhamo et al.	Nov 2006	A1
20060247931	Caskey et al.	Nov 2006	A1
20060252457	Schrager	Nov 2006	A1
20060253210	Rosenberg	Nov 2006	A1
20060253787	Fogg	Nov 2006	A1
20060256934	Mazor	Nov 2006	A1
20060262876	LaDue	Nov 2006	A1
20060265208	Assadollahi	Nov 2006	A1
20060265503	Jones et al.	Nov 2006	A1
20060265648	Rainisto et al.	Nov 2006	A1
20060274051	Longe et al.	Dec 2006	A1
20060274905	Lindahl et al.	Dec 2006	A1
20060277058	J'maev et al.	Dec 2006	A1
20060282264	Denny et al.	Dec 2006	A1
20060282415	Shibata et al.	Dec 2006	A1
20060288024	Braica	Dec 2006	A1
20060293876	Kamatani et al.	Dec 2006	A1
20060293880	Elshishiny et al.	Dec 2006	A1
20060293886	Odell et al.	Dec 2006	A1
20070003026	Hodge et al.	Jan 2007	A1
20070004451	C. Anderson	Jan 2007	A1
20070005849	Oliver	Jan 2007	A1
20070006098	Krumm et al.	Jan 2007	A1
20070011154	Musgrove et al.	Jan 2007	A1
20070016563	Omoigui	Jan 2007	A1
20070016865	Johnson et al.	Jan 2007	A1
20070021956	Qu et al.	Jan 2007	A1
20070025704	Tsukazaki et al.	Feb 2007	A1
20070026852	Logan et al.	Feb 2007	A1
20070027732	Hudgens	Feb 2007	A1
20070028009	Robbin et al.	Feb 2007	A1
20070032247	Shaffer et al.	Feb 2007	A1
20070033003	Morris	Feb 2007	A1
20070038436	Cristoe et al.	Feb 2007	A1
20070038609	Wu	Feb 2007	A1
20070040813	Kushler et al.	Feb 2007	A1
20070041361	Iso-Sipila	Feb 2007	A1
20070043568	Dhanakshirur et al.	Feb 2007	A1
20070044038	Horentrup et al.	Feb 2007	A1
20070046641	Lim	Mar 2007	A1
20070047719	Dhawan et al.	Mar 2007	A1
20070050184	Drucker et al.	Mar 2007	A1
20070050191	Weider et al.	Mar 2007	A1
20070050393	Vogel et al.	Mar 2007	A1
20070050712	Hull et al.	Mar 2007	A1
20070052586	Horstemeyer	Mar 2007	A1
20070055493	Lee	Mar 2007	A1
20070055514	Beattie et al.	Mar 2007	A1
20070055525	Kennewick et al.	Mar 2007	A1
20070055529	Kanevsky et al.	Mar 2007	A1
20070058832	Hug et al.	Mar 2007	A1
20070061487	Moore et al.	Mar 2007	A1
20070061754	Ardhanari et al.	Mar 2007	A1
20070067173	Bellegarda	Mar 2007	A1
20070067272	Flynt et al.	Mar 2007	A1
20070073540	Hirakawa et al.	Mar 2007	A1
20070073541	Tian	Mar 2007	A1
20070080936	Tsuk et al.	Apr 2007	A1
20070083467	Lindahl et al.	Apr 2007	A1
20070083623	Nishimura et al.	Apr 2007	A1
20070088556	Andrew	Apr 2007	A1
20070089132	Qureshey et al.	Apr 2007	A1
20070089135	Qureshey et al.	Apr 2007	A1
20070093277	Cavacuiti et al.	Apr 2007	A1
20070094026	Ativanichayaphong et al.	Apr 2007	A1
20070098195	Holmes	May 2007	A1
20070100206	Lin et al.	May 2007	A1
20070100602	Kim	May 2007	A1
20070100635	Mahajan et al.	May 2007	A1
20070100790	Cheyer et al.	May 2007	A1
20070100883	Rose et al.	May 2007	A1
20070106512	Acero et al.	May 2007	A1
20070106513	Boillot et al.	May 2007	A1
20070106674	Agrawal et al.	May 2007	A1
20070116195	Thompson et al.	May 2007	A1
20070118377	Badino et al.	May 2007	A1
20070118378	Skuratovsky	May 2007	A1
20070121846	Altberg et al.	May 2007	A1
20070124149	Shen et al.	May 2007	A1
20070124676	Amundsen et al.	May 2007	A1
20070127888	Hayashi et al.	Jun 2007	A1
20070128777	Yin et al.	Jun 2007	A1
20070129059	Nadarajah et al.	Jun 2007	A1
20070130014	Altberg et al.	Jun 2007	A1
20070130128	Garg et al.	Jun 2007	A1
20070132738	Lowles et al.	Jun 2007	A1
20070135949	Snover et al.	Jun 2007	A1
20070136064	Carroll	Jun 2007	A1
20070136778	Birger et al.	Jun 2007	A1
20070152978	Kocienda et al.	Jul 2007	A1
20070155346	Mijatovic et al.	Jul 2007	A1
20070156410	Stohr et al.	Jul 2007	A1
20070157268	Girish et al.	Jul 2007	A1
20070162296	Altberg et al.	Jul 2007	A1
20070162414	Horowitz et al.	Jul 2007	A1
20070173233	Vander Veen et al.	Jul 2007	A1
20070173267	Klassen et al.	Jul 2007	A1
20070174188	Fish	Jul 2007	A1
20070174396	Kumar et al.	Jul 2007	A1
20070180383	Naik	Aug 2007	A1
20070182595	Ghasabian	Aug 2007	A1
20070185551	Meadows et al.	Aug 2007	A1
20070185754	Schmidt	Aug 2007	A1
20070185831	Churcher	Aug 2007	A1
20070185917	Prahlad et al.	Aug 2007	A1
20070188901	Heckerman et al.	Aug 2007	A1
20070192027	Lee et al.	Aug 2007	A1
20070192105	Neeracher et al.	Aug 2007	A1
20070192293	Swen	Aug 2007	A1
20070192403	Heine et al.	Aug 2007	A1
20070192744	Reponen	Aug 2007	A1
20070198269	Braho et al.	Aug 2007	A1
20070198273	Hennecke	Aug 2007	A1
20070198566	Sustik	Aug 2007	A1
20070207785	Chatterjee et al.	Sep 2007	A1
20070208569	Subramanian et al.	Sep 2007	A1
20070208579	Peterson	Sep 2007	A1
20070208726	Krishnaprasad et al.	Sep 2007	A1
20070211071	Slotznick et al.	Sep 2007	A1
20070213099	Bast	Sep 2007	A1
20070213857	Bodin et al.	Sep 2007	A1
20070219777	Chu et al.	Sep 2007	A1
20070219803	Chiu et al.	Sep 2007	A1
20070225980	Sumita	Sep 2007	A1
20070225984	Milstein et al.	Sep 2007	A1
20070226652	Kikuchi et al.	Sep 2007	A1
20070229323	Plachta et al.	Oct 2007	A1
20070233490	Yao	Oct 2007	A1
20070233725	Michmerhuizen et al.	Oct 2007	A1
20070238520	Kacmarcik	Oct 2007	A1
20070239429	Johnson et al.	Oct 2007	A1
20070244702	Kahn et al.	Oct 2007	A1
20070255435	Cohen et al.	Nov 2007	A1
20070255979	Deily et al.	Nov 2007	A1
20070260460	Hyatt	Nov 2007	A1
20070260595	Beatty et al.	Nov 2007	A1
20070260822	Adams	Nov 2007	A1
20070261080	Saetti	Nov 2007	A1
20070265831	Dinur et al.	Nov 2007	A1
20070271510	Grigoriu et al.	Nov 2007	A1
20070274468	Cai	Nov 2007	A1
20070276651	Bliss et al.	Nov 2007	A1
20070276714	Beringer	Nov 2007	A1
20070276810	Rosen	Nov 2007	A1
20070282595	Tunning et al.	Dec 2007	A1
20070285958	Platchta et al.	Dec 2007	A1
20070286363	Burg et al.	Dec 2007	A1
20070288241	Cross et al.	Dec 2007	A1
20070288449	Datta et al.	Dec 2007	A1
20070291108	Huber et al.	Dec 2007	A1
20070294077	Narayanan et al.	Dec 2007	A1
20070294263	Punj et al.	Dec 2007	A1
20070299664	Peters et al.	Dec 2007	A1
20080010355	Vieri et al.	Jan 2008	A1
20080012950	Lee et al.	Jan 2008	A1
20080013751	Hiselius	Jan 2008	A1
20080015864	Ross et al.	Jan 2008	A1
20080016575	Vincent et al.	Jan 2008	A1
20080021708	Bennett et al.	Jan 2008	A1
20080022208	Morse	Jan 2008	A1
20080031475	Goldstein	Feb 2008	A1
20080034032	Healey et al.	Feb 2008	A1
20080034044	Bhakta et al.	Feb 2008	A1
20080040339	Zhou et al.	Feb 2008	A1
20080042970	Liang et al.	Feb 2008	A1
20080043936	Liebermann	Feb 2008	A1
20080043943	Sipher et al.	Feb 2008	A1
20080046239	Boo	Feb 2008	A1
20080046422	Lee et al.	Feb 2008	A1
20080046948	Verosub	Feb 2008	A1
20080048908	Sato	Feb 2008	A1
20080052063	Bennett et al.	Feb 2008	A1
20080052073	Goto et al.	Feb 2008	A1
20080052077	Bennett et al.	Feb 2008	A1
20080056459	Vallier et al.	Mar 2008	A1
20080056579	Guha	Mar 2008	A1
20080059190	Chu et al.	Mar 2008	A1
20080059200	Puli	Mar 2008	A1
20080059876	Hantler et al.	Mar 2008	A1
20080065382	Gerl et al.	Mar 2008	A1
20080071529	Silverman et al.	Mar 2008	A1
20080071544	Beaufays et al.	Mar 2008	A1
20080075296	Lindahl et al.	Mar 2008	A1
20080077384	Agapi et al.	Mar 2008	A1
20080077391	Chino et al.	Mar 2008	A1
20080077393	Gao et al.	Mar 2008	A1
20080077406	Ganong, III	Mar 2008	A1
20080077859	Schabes et al.	Mar 2008	A1
20080079566	Singh et al.	Apr 2008	A1
20080082332	Mallett et al.	Apr 2008	A1
20080082338	O'Neil et al.	Apr 2008	A1
20080082390	Hawkins et al.	Apr 2008	A1
20080082576	Bodin et al.	Apr 2008	A1
20080082651	Singh et al.	Apr 2008	A1
20080091406	Baldwin et al.	Apr 2008	A1
20080091426	Rempel et al.	Apr 2008	A1
20080091443	Strope et al.	Apr 2008	A1
20080096726	Riley et al.	Apr 2008	A1
20080097937	Hadjarian	Apr 2008	A1
20080098302	Roose	Apr 2008	A1
20080100579	Robinson et al.	May 2008	A1
20080109222	Liu	May 2008	A1
20080114480	Harb	May 2008	A1
20080114598	Prieto et al.	May 2008	A1
20080114841	Lambert	May 2008	A1
20080118143	Gordon et al.	May 2008	A1
20080120102	Rao	May 2008	A1
20080120112	Jordan et al.	May 2008	A1
20080120342	Reed et al.	May 2008	A1
20080122796	Jobs et al.	May 2008	A1
20080126100	Grost et al.	May 2008	A1
20080129520	Lee	Jun 2008	A1
20080130867	Bowen	Jun 2008	A1
20080131006	Oliver	Jun 2008	A1
20080133215	Sarukkai	Jun 2008	A1
20080133228	Rao	Jun 2008	A1
20080133241	Baker et al.	Jun 2008	A1
20080140413	Millman et al.	Jun 2008	A1
20080140416	Shostak	Jun 2008	A1
20080140652	Millman et al.	Jun 2008	A1
20080140657	Azvine et al.	Jun 2008	A1
20080141180	Reed et al.	Jun 2008	A1
20080146290	Sreeram et al.	Jun 2008	A1
20080147408	Da Palma et al.	Jun 2008	A1
20080147411	Dames et al.	Jun 2008	A1
20080154600	Tian et al.	Jun 2008	A1
20080154612	Evermann et al.	Jun 2008	A1
20080157867	Krah	Jul 2008	A1
20080163131	Hirai et al.	Jul 2008	A1
20080165144	Forstall et al.	Jul 2008	A1
20080165980	Pavlovic et al.	Jul 2008	A1
20080165994	Caren et al.	Jul 2008	A1
20080167013	Novick et al.	Jul 2008	A1
20080167858	Christie et al.	Jul 2008	A1
20080168366	Kocienda et al.	Jul 2008	A1
20080183473	Nagano et al.	Jul 2008	A1
20080189099	Friedman et al.	Aug 2008	A1
20080189106	Low et al.	Aug 2008	A1
20080189110	Freeman et al.	Aug 2008	A1
20080189114	Fail et al.	Aug 2008	A1
20080189606	Rybak	Aug 2008	A1
20080195601	Ntoulas et al.	Aug 2008	A1
20080195940	Gail et al.	Aug 2008	A1
20080201306	Cooper et al.	Aug 2008	A1
20080201375	Khedouri et al.	Aug 2008	A1
20080204379	Perez-Noguera	Aug 2008	A1
20080207176	Brackbill et al.	Aug 2008	A1
20080208585	Ativanichayaphong et al.	Aug 2008	A1
20080208587	Ben-David et al.	Aug 2008	A1
20080212796	Denda	Sep 2008	A1
20080221866	Katragadda et al.	Sep 2008	A1
20080221880	Cerra et al.	Sep 2008	A1
20080221889	Cerra et al.	Sep 2008	A1
20080221903	Kanevsky et al.	Sep 2008	A1
20080222118	Scian et al.	Sep 2008	A1
20080228463	Mori et al.	Sep 2008	A1
20080228485	Owen	Sep 2008	A1
20080228490	Fischer et al.	Sep 2008	A1
20080228496	Yu et al.	Sep 2008	A1
20080228928	Donelli et al.	Sep 2008	A1
20080229185	Lynch	Sep 2008	A1
20080235024	Goldberg et al.	Sep 2008	A1
20080240569	Tonouchi	Oct 2008	A1
20080242280	Shapiro et al.	Oct 2008	A1
20080244390	Fux et al.	Oct 2008	A1
20080247519	Abella et al.	Oct 2008	A1
20080248797	Freeman et al.	Oct 2008	A1
20080249770	Kim et al.	Oct 2008	A1
20080253577	Eppolito	Oct 2008	A1
20080255845	Bennett	Oct 2008	A1
20080256613	Grover	Oct 2008	A1
20080259022	Mansfield et al.	Oct 2008	A1
20080262838	Nurminen et al.	Oct 2008	A1
20080262846	Burns et al.	Oct 2008	A1
20080270118	Kuo et al.	Oct 2008	A1
20080270138	Knight et al.	Oct 2008	A1
20080270139	Shi et al.	Oct 2008	A1
20080270140	Hertz et al.	Oct 2008	A1
20080281510	Shahine	Nov 2008	A1
20080292112	Valenzuela et al.	Nov 2008	A1
20080294651	Masuyama et al.	Nov 2008	A1
20080298766	Wen et al.	Dec 2008	A1
20080300871	Gilbert	Dec 2008	A1
20080300878	Bennett	Dec 2008	A1
20080306727	Thurmair et al.	Dec 2008	A1
20080312909	Hermansen et al.	Dec 2008	A1
20080313335	Jung et al.	Dec 2008	A1
20080319753	Hancock	Dec 2008	A1
20080319763	Di Fabbrizio et al.	Dec 2008	A1
20090003115	Lindahl et al.	Jan 2009	A1
20090005012	Van Heugten	Jan 2009	A1
20090005891	Batson et al.	Jan 2009	A1
20090006097	Etezadi et al.	Jan 2009	A1
20090006099	Sharpe et al.	Jan 2009	A1
20090006100	Badger et al.	Jan 2009	A1
20090006343	Platt et al.	Jan 2009	A1
20090006488	Lindahl et al.	Jan 2009	A1
20090006671	Batson et al.	Jan 2009	A1
20090007001	Morin et al.	Jan 2009	A1
20090011709	Akasaka et al.	Jan 2009	A1
20090012748	Beish et al.	Jan 2009	A1
20090012775	El Hady et al.	Jan 2009	A1
20090018828	Nakadai et al.	Jan 2009	A1
20090018835	Cooper et al.	Jan 2009	A1
20090018839	Cooper et al.	Jan 2009	A1
20090018840	Lutz et al.	Jan 2009	A1
20090022329	Mahowald	Jan 2009	A1
20090028435	Wu et al.	Jan 2009	A1
20090030800	Grois	Jan 2009	A1
20090030978	Johnson et al.	Jan 2009	A1
20090043583	Agapi et al.	Feb 2009	A1
20090048821	Yam et al.	Feb 2009	A1
20090048845	Burckart et al.	Feb 2009	A1
20090049067	Murray	Feb 2009	A1
20090055179	Cho et al.	Feb 2009	A1
20090055186	Lance et al.	Feb 2009	A1
20090058823	Kocienda	Mar 2009	A1
20090060472	Bull et al.	Mar 2009	A1
20090063974	Bull et al.	Mar 2009	A1
20090064031	Bull et al.	Mar 2009	A1
20090070097	Wu et al.	Mar 2009	A1
20090070102	Maegawa	Mar 2009	A1
20090070114	Staszak	Mar 2009	A1
20090074214	Bradford et al.	Mar 2009	A1
20090076792	Lawson-Tancred	Mar 2009	A1
20090076796	Daraselia	Mar 2009	A1
20090076819	Wouters et al.	Mar 2009	A1
20090076821	Brenner et al.	Mar 2009	A1
20090076825	Bradford et al.	Mar 2009	A1
20090077165	Rhodes et al.	Mar 2009	A1
20090083035	Huang et al.	Mar 2009	A1
20090083036	Zhao et al.	Mar 2009	A1
20090083037	Gleason et al.	Mar 2009	A1
20090083047	Lindahl et al.	Mar 2009	A1
20090092260	Powers	Apr 2009	A1
20090092261	Bard	Apr 2009	A1
20090092262	Costa et al.	Apr 2009	A1
20090094029	Koch et al.	Apr 2009	A1
20090094033	Mozer et al.	Apr 2009	A1
20090100049	Cao	Apr 2009	A1
20090100454	Weber	Apr 2009	A1
20090106026	Ferrieux	Apr 2009	A1
20090106376	Tom et al.	Apr 2009	A1
20090106397	O'Keefe	Apr 2009	A1
20090112572	Thorn	Apr 2009	A1
20090112677	Rhett	Apr 2009	A1
20090112892	Cardie et al.	Apr 2009	A1
20090123021	Jung et al.	May 2009	A1
20090123071	Iwasaki	May 2009	A1
20090125477	Lu et al.	May 2009	A1
20090137286	Luke et al.	May 2009	A1
20090138736	Chin	May 2009	A1
20090138828	Schultz et al.	May 2009	A1
20090144049	Haddad et al.	Jun 2009	A1
20090144609	Liang et al.	Jun 2009	A1
20090146848	Ghassabian	Jun 2009	A1
20090150147	Jacoby et al.	Jun 2009	A1
20090150156	Kennewick et al.	Jun 2009	A1
20090154669	Wood et al.	Jun 2009	A1
20090157382	Bar	Jun 2009	A1
20090157384	Toutanova et al.	Jun 2009	A1
20090157401	Bennett	Jun 2009	A1
20090158423	Orlassino et al.	Jun 2009	A1
20090164441	Cheyer	Jun 2009	A1
20090164655	Pettersson et al.	Jun 2009	A1
20090167508	Fadell et al.	Jul 2009	A1
20090167509	Fadell et al.	Jul 2009	A1
20090171664	Kennewick et al.	Jul 2009	A1
20090172542	Girish et al.	Jul 2009	A1
20090174667	Kocienda et al.	Jul 2009	A1
20090177461	Ehsani et al.	Jul 2009	A1
20090182445	Girish et al.	Jul 2009	A1
20090187577	Reznik et al.	Jul 2009	A1
20090191895	Singh et al.	Jul 2009	A1
20090192782	Drewes	Jul 2009	A1
20090198497	Kwon	Aug 2009	A1
20090204409	Mozer et al.	Aug 2009	A1
20090213134	Stephanick et al.	Aug 2009	A1
20090216704	Zheng et al.	Aug 2009	A1
20090222488	Boerries et al.	Sep 2009	A1
20090228273	Wang et al.	Sep 2009	A1
20090228281	Singleton et al.	Sep 2009	A1
20090234655	Kwon	Sep 2009	A1
20090239552	Churchill et al.	Sep 2009	A1
20090240485	Dalal et al.	Sep 2009	A1
20090241760	Georges	Oct 2009	A1
20090247237	Mittleman et al.	Oct 2009	A1
20090248182	Logan et al.	Oct 2009	A1
20090249198	Davis et al.	Oct 2009	A1
20090252350	Seguin	Oct 2009	A1
20090253457	Seguin	Oct 2009	A1
20090253463	Shin et al.	Oct 2009	A1
20090254339	Seguin	Oct 2009	A1
20090254345	Fleizach et al.	Oct 2009	A1
20090271109	Lee et al.	Oct 2009	A1
20090271175	Bodin et al.	Oct 2009	A1
20090271176	Bodin et al.	Oct 2009	A1
20090271178	Bodin et al.	Oct 2009	A1
20090274315	Carnes et al.	Nov 2009	A1
20090281789	Waibel et al.	Nov 2009	A1
20090287583	Holmes	Nov 2009	A1
20090290718	Kahn et al.	Nov 2009	A1
20090296552	Hicks et al.	Dec 2009	A1
20090299745	Kennewick et al.	Dec 2009	A1
20090299849	Cao et al.	Dec 2009	A1
20090300488	Salamon et al.	Dec 2009	A1
20090304198	Herre et al.	Dec 2009	A1
20090306967	Nicolov et al.	Dec 2009	A1
20090306980	Shin	Dec 2009	A1
20090306981	Cromack et al.	Dec 2009	A1
20090306985	Roberts et al.	Dec 2009	A1
20090306989	Kaji	Dec 2009	A1
20090307162	Bui et al.	Dec 2009	A1
20090307201	Dunning et al.	Dec 2009	A1
20090313026	Coffman et al.	Dec 2009	A1
20090313544	Wood et al.	Dec 2009	A1
20090313564	Rottler et al.	Dec 2009	A1
20090316943	Frigola Munoz et al.	Dec 2009	A1
20090318198	Carroll	Dec 2009	A1
20090319266	Brown et al.	Dec 2009	A1
20090326936	Nagashima	Dec 2009	A1
20090326938	Marila et al.	Dec 2009	A1
20090326949	Douthitt et al.	Dec 2009	A1
20090327977	Bachfischer et al.	Dec 2009	A1
20100004931	Ma et al.	Jan 2010	A1
20100005081	Bennett	Jan 2010	A1
20100023318	Lemoine	Jan 2010	A1
20100023320	Di Cristo et al.	Jan 2010	A1
20100030928	Conroy et al.	Feb 2010	A1
20100031143	Rao et al.	Feb 2010	A1
20100036655	Cecil et al.	Feb 2010	A1
20100036660	Bennett	Feb 2010	A1
20100042400	Block et al.	Feb 2010	A1
20100049514	Kennewick et al.	Feb 2010	A1
20100054512	Solum	Mar 2010	A1
20100057457	Ogata et al.	Mar 2010	A1
20100057643	Yang	Mar 2010	A1
20100060646	Unsal et al.	Mar 2010	A1
20100063804	Sato et al.	Mar 2010	A1
20100063825	Williams et al.	Mar 2010	A1
20100063961	Guiheneuf et al.	Mar 2010	A1
20100064113	Lindahl et al.	Mar 2010	A1
20100067723	Bergmann et al.	Mar 2010	A1
20100070899	Hunt et al.	Mar 2010	A1
20100076760	Kraenzel et al.	Mar 2010	A1
20100080398	Waldmann	Apr 2010	A1
20100080470	Deluca et al.	Apr 2010	A1
20100081456	Singh et al.	Apr 2010	A1
20100081487	Chen et al.	Apr 2010	A1
20100082327	Rogers et al.	Apr 2010	A1
20100082328	Rogers et al.	Apr 2010	A1
20100082329	Silverman et al.	Apr 2010	A1
20100082346	Rogers et al.	Apr 2010	A1
20100082347	Rogers et al.	Apr 2010	A1
20100082348	Silverman et al.	Apr 2010	A1
20100082349	Bellegarda et al.	Apr 2010	A1
20100082970	Lindahl et al.	Apr 2010	A1
20100086152	Rank et al.	Apr 2010	A1
20100086153	Hagen et al.	Apr 2010	A1
20100086156	Rank et al.	Apr 2010	A1
20100088020	Sano et al.	Apr 2010	A1
20100088093	Lee et al.	Apr 2010	A1
20100088100	Lindahl	Apr 2010	A1
20100100212	Lindahl et al.	Apr 2010	A1
20100100384	Ju et al.	Apr 2010	A1
20100103776	Chan	Apr 2010	A1
20100106500	McKee et al.	Apr 2010	A1
20100125460	Mellott et al.	May 2010	A1
20100131273	Aley-Raz et al.	May 2010	A1
20100138215	Williams	Jun 2010	A1
20100138224	Bedingfield, Sr.	Jun 2010	A1
20100138416	Bellotti	Jun 2010	A1
20100142740	Roerup	Jun 2010	A1
20100145694	Ju et al.	Jun 2010	A1
20100145700	Kennewick et al.	Jun 2010	A1
20100146442	Nagasaka et al.	Jun 2010	A1
20100161313	Karttunen	Jun 2010	A1
20100161554	Datuashvili et al.	Jun 2010	A1
20100164897	Morin et al.	Jul 2010	A1
20100169075	Raffa et al.	Jul 2010	A1
20100169097	Nachman et al.	Jul 2010	A1
20100179991	Lorch et al.	Jul 2010	A1
20100185448	Meisel	Jul 2010	A1
20100204986	Kennewick et al.	Aug 2010	A1
20100211199	Naik et al.	Aug 2010	A1
20100217604	Baldwin et al.	Aug 2010	A1
20100222098	Garg	Sep 2010	A1
20100228540	Bennett	Sep 2010	A1
20100228691	Yang et al.	Sep 2010	A1
20100231474	Yamagajo et al.	Sep 2010	A1
20100235167	Bourdon	Sep 2010	A1
20100235341	Bennett	Sep 2010	A1
20100250542	Fujimaki	Sep 2010	A1
20100250599	Schmidt et al.	Sep 2010	A1
20100257160	Cao	Oct 2010	A1
20100257478	Longe et al.	Oct 2010	A1
20100262599	Nitz	Oct 2010	A1
20100268539	Xu et al.	Oct 2010	A1
20100274753	Liberty et al.	Oct 2010	A1
20100277579	Cho et al.	Nov 2010	A1
20100278320	Arsenault et al.	Nov 2010	A1
20100278453	King	Nov 2010	A1
20100280983	Cho et al.	Nov 2010	A1
20100281034	Petrou et al.	Nov 2010	A1
20100286985	Kennewick et al.	Nov 2010	A1
20100299133	Kopparapu et al.	Nov 2010	A1
20100299142	Freeman et al.	Nov 2010	A1
20100302056	Dutton et al.	Dec 2010	A1
20100305807	Basir et al.	Dec 2010	A1
20100305947	Schwarz et al.	Dec 2010	A1
20100312547	Van Os et al.	Dec 2010	A1
20100312566	Odinak et al.	Dec 2010	A1
20100318576	Kim	Dec 2010	A1
20100322438	Siotis	Dec 2010	A1
20100324905	Kurzweil et al.	Dec 2010	A1
20100325588	Reddy et al.	Dec 2010	A1
20100332224	Mäkelä et al.	Dec 2010	A1
20100332235	David	Dec 2010	A1
20100332280	Bradley et al.	Dec 2010	A1
20100332348	Cao	Dec 2010	A1
20100332976	Fux et al.	Dec 2010	A1
20110002487	Panther et al.	Jan 2011	A1
20110010178	Lee et al.	Jan 2011	A1
20110022292	Shen et al.	Jan 2011	A1
20110022952	Wu et al.	Jan 2011	A1
20110033064	Johnson et al.	Feb 2011	A1
20110038489	Visser et al.	Feb 2011	A1
20110047072	Ciurea	Feb 2011	A1
20110047161	Myaeng et al.	Feb 2011	A1
20110054901	Qin et al.	Mar 2011	A1
20110060584	Ferrucci et al.	Mar 2011	A1
20110060587	Phillips et al.	Mar 2011	A1
20110060807	Martin et al.	Mar 2011	A1
20110076994	Kim et al.	Mar 2011	A1
20110082688	Kim et al.	Apr 2011	A1
20110083079	Farrell et al.	Apr 2011	A1
20110087491	Wittenstein et al.	Apr 2011	A1
20110090078	Kim et al.	Apr 2011	A1
20110093261	Angott	Apr 2011	A1
20110099000	Rai et al.	Apr 2011	A1
20110103682	Chidlovskii et al.	May 2011	A1
20110106736	Aharonson et al.	May 2011	A1
20110112827	Kennewick et al.	May 2011	A1
20110112921	Kennewick et al.	May 2011	A1
20110119049	Ylonen	May 2011	A1
20110119051	Li et al.	May 2011	A1
20110125540	Jang et al.	May 2011	A1
20110130958	Stahl et al.	Jun 2011	A1
20110131036	DiCristo et al.	Jun 2011	A1
20110131038	Oyaizu et al.	Jun 2011	A1
20110131045	Cristo et al.	Jun 2011	A1
20110143811	Rodriguez	Jun 2011	A1
20110144973	Bocchieri et al.	Jun 2011	A1
20110144999	Jang et al.	Jun 2011	A1
20110161076	Davis et al.	Jun 2011	A1
20110161309	Lung et al.	Jun 2011	A1
20110175810	Markovic et al.	Jul 2011	A1
20110179002	Dumitru et al.	Jul 2011	A1
20110179372	Moore et al.	Jul 2011	A1
20110184721	Subramanian et al.	Jul 2011	A1
20110184730	LeBeau et al.	Jul 2011	A1
20110191271	Baker et al.	Aug 2011	A1
20110191344	Jin et al.	Aug 2011	A1
20110195758	Damale et al.	Aug 2011	A1
20110201387	Paek et al.	Aug 2011	A1
20110218855	Cao et al.	Sep 2011	A1
20110224972	Millett et al.	Sep 2011	A1
20110231182	Weider et al.	Sep 2011	A1
20110231188	Kennewick et al.	Sep 2011	A1
20110231474	Locker et al.	Sep 2011	A1
20110238408	Larcheveque et al.	Sep 2011	A1
20110260861	Singh et al.	Oct 2011	A1
20110264643	Cao	Oct 2011	A1
20110274303	Filson et al.	Nov 2011	A1
20110276598	Kozempel	Nov 2011	A1
20110279368	Klein et al.	Nov 2011	A1
20110288861	Kurzweil et al.	Nov 2011	A1
20110298585	Barry	Dec 2011	A1
20110306426	Novak et al.	Dec 2011	A1
20110314404	Kotler et al.	Dec 2011	A1
20120002820	Leichter	Jan 2012	A1
20120011138	Dunning et al.	Jan 2012	A1
20120016678	Gruber et al.	Jan 2012	A1
20120020490	Leichter	Jan 2012	A1
20120022787	LeBeau et al.	Jan 2012	A1
20120022857	Baldwin et al.	Jan 2012	A1
20120022860	Lloyd et al.	Jan 2012	A1
20120022868	LeBeau et al.	Jan 2012	A1
20120022869	Lloyd et al.	Jan 2012	A1
20120022870	Kristjansson et al.	Jan 2012	A1
20120022872	Gruber et al.	Jan 2012	A1
20120022874	Lloyd et al.	Jan 2012	A1
20120022876	LeBeau et al.	Jan 2012	A1
20120023088	Cheng et al.	Jan 2012	A1
20120034904	LeBeau et al.	Feb 2012	A1
20120035908	Lebeau et al.	Feb 2012	A1
20120035924	Jitkoff et al.	Feb 2012	A1
20120035931	LeBeau et al.	Feb 2012	A1
20120035932	Jitkoff et al.	Feb 2012	A1
20120042343	Laligand et al.	Feb 2012	A1
20120053815	Montanari et al.	Mar 2012	A1
20120078627	Wagner	Mar 2012	A1
20120082317	Pance et al.	Apr 2012	A1
20120084086	Gilbert et al.	Apr 2012	A1
20120108221	Thomas et al.	May 2012	A1
20120136572	Norton	May 2012	A1
20120137367	Dupont et al.	May 2012	A1
20120149394	Singh et al.	Jun 2012	A1
20120150580	Norton	Jun 2012	A1
20120158293	Burnham	Jun 2012	A1
20120158422	Burnham et al.	Jun 2012	A1
20120173464	Tur et al.	Jul 2012	A1
20120185237	Gajic et al.	Jul 2012	A1
20120197998	Kessel et al.	Aug 2012	A1
20120214517	Singh et al.	Aug 2012	A1
20120221339	Wang et al.	Aug 2012	A1
20120245719	Story, Jr. et al.	Sep 2012	A1
20120245944	Gruber	Sep 2012	A1
20120265528	Gruber et al.	Oct 2012	A1
20120271625	Bernard	Oct 2012	A1
20120271635	Ljolje	Oct 2012	A1
20120271676	Aravamudan et al.	Oct 2012	A1
20120284027	Mallett et al.	Nov 2012	A1
20120296649	Bansal et al.	Nov 2012	A1
20120309363	Gruber et al.	Dec 2012	A1
20120310642	Cao et al.	Dec 2012	A1
20120310649	Cannistraro et al.	Dec 2012	A1
20120311583	Gruber et al.	Dec 2012	A1
20120311584	Gruber et al.	Dec 2012	A1
20120311585	Gruber et al.	Dec 2012	A1
20120330660	Jaiswal	Dec 2012	A1
20120330661	Lindahl	Dec 2012	A1
20130006638	Lindahl	Jan 2013	A1
20130031162	Willis	Jan 2013	A1
20130110505	Gruber et al.	May 2013	A1
20130110515	Guzzoni et al.	May 2013	A1
20130110518	Gruber et al.	May 2013	A1
20130110519	Cheyer et al.	May 2013	A1
20130110520	Cheyer et al.	May 2013	A1
20130110943	Menon	May 2013	A1
20130111348	Gruber et al.	May 2013	A1
20130111487	Cheyer et al.	May 2013	A1
20130115927	Gruber et al.	May 2013	A1
20130117022	Chen et al.	May 2013	A1
20130185074	Gruber et al.	Jul 2013	A1
20130185081	Cheyer et al.	Jul 2013	A1
20130225128	Gomar	Aug 2013	A1
20130325443	Begeja et al.	Dec 2013	A1
20140152577	Yuen et al.	Jun 2014	A1
20140317030	Shen	Oct 2014	A1

Foreign Referenced Citations (254)

Number	Date	Country
681573	Apr 1993	CH
1673939	Sep 2005	CN
1864204	Nov 2006	CN
3837590	May 1990	DE
4126902	Feb 1992	DE
4334773	Apr 1994	DE
4445023	Jun 1996	DE
10-2004-029203	Dec 2005	DE
19841541	Dec 2007	DE
0030390	Jun 1981	EP
0057514	Aug 1982	EP
0138061	Apr 1985	EP
0218859	Apr 1987	EP
0262938	Apr 1988	EP
0138061	Jun 1988	EP
0283995	Sep 1988	EP
0293259	Nov 1988	EP
0299572	Jan 1989	EP
0313975	May 1989	EP
0314908	May 1989	EP
0327408	Aug 1989	EP
0389271	Sep 1990	EP
0411675	Feb 1991	EP
0441089	Aug 1991	EP
0464712	Jan 1992	EP
0476972	Mar 1992	EP
0558312	Sep 1993	EP
0559349	Sep 1993	EP
0570660	Nov 1993	EP
0575146	Dec 1993	EP
0578604	Jan 1994	EP
0586996	Mar 1994	EP
0609030	Aug 1994	EP
0651543	May 1995	EP
0679005	Oct 1995	EP
0795811	Sep 1997	EP
0476972	May 1998	EP
0845894	Jun 1998	EP
0863453	Sep 1998	EP
0863469	Sep 1998	EP
0867860	Sep 1998	EP
0869697	Oct 1998	EP
0559349	Jan 1999	EP
0889626	Jan 1999	EP
0917077	May 1999	EP
0691023	Sep 1999	EP
0946032	Sep 1999	EP
0981236	Feb 2000	EP
0982732	Mar 2000	EP
0984430	Mar 2000	EP
1001588	May 2000	EP
1014277	Jun 2000	EP
1028425	Aug 2000	EP
1028426	Aug 2000	EP
1047251	Oct 2000	EP
1076302	Feb 2001	EP
1091615	Apr 2001	EP
1229496	Aug 2002	EP
1233600	Aug 2002	EP
1245023	Oct 2002	EP
1311102	May 2003	EP
1315084	May 2003	EP
1315086	May 2003	EP
1347361	Sep 2003	EP
1379061	Jan 2004	EP
1432219	Jun 2004	EP
1517228	Mar 2005	EP
1536612	Jun 2005	EP
1566948	Aug 2005	EP
1693829	Aug 2006	EP
1818786	Aug 2007	EP
1892700	Feb 2008	EP
1912205	Apr 2008	EP
1939860	Jul 2008	EP
0651543	Sep 2008	EP
1909263	Jan 2009	EP
1335620	Mar 2009	EP
2094032	Aug 2009	EP
2109295	Oct 2009	EP
1720375	Jul 2010	EP
2205010	Jul 2010	EP
2400373	Dec 2011	EP
2431842	Mar 2012	EP
2293667	Apr 1996	GB
2310559	Aug 1997	GB
2342802	Apr 2000	GB
2384399	Jul 2003	GB
2402855	Dec 2004	GB
2445436	Jul 2008	GB
FI20010199	Apr 2003	IT
57-41731	Mar 1982	JP
59-57336	Apr 1984	JP
2-86397	Mar 1990	JP
2-153415	Jun 1990	JP
3-113578	May 1991	JP
4-236624	Aug 1992	JP
5-79951	Mar 1993	JP
5-165459	Jul 1993	JP
5-293126	Nov 1993	JP
6-19965	Jan 1994	JP
6-69954	Mar 1994	JP
6-274586	Sep 1994	JP
6-332617	Dec 1994	JP
7-199379	Aug 1995	JP
7-320051	Dec 1995	JP
7-320079	Dec 1995	JP
8-63330	Mar 1996	JP
8-185265	Jul 1996	JP
8-227341	Sep 1996	JP
9-18585	Jan 1997	JP
9-55792	Feb 1997	JP
9-259063	Oct 1997	JP
9-265457	Oct 1997	JP
10-105324	Apr 1998	JP
11-6743	Jan 1999	JP
11-45241	Feb 1999	JP
2000-99225	Apr 2000	JP
2000-134407	May 2000	JP
2000-339137	Dec 2000	JP
2001-56233	Feb 2001	JP
2001-125896	May 2001	JP
2001-148899	May 2001	JP
2002-14954	Jan 2002	JP
2002-024212	Jan 2002	JP
2002-82893	Mar 2002	JP
2003-44091	Feb 2003	JP
2003-84877	Mar 2003	JP
2003-517158	May 2003	JP
2003-233568	Aug 2003	JP
2004-48804	Feb 2004	JP
2004-505525	Feb 2004	JP
2004-152063	May 2004	JP
2005-86624	Mar 2005	JP
2005-92441	Apr 2005	JP
2005-181386	Jul 2005	JP
2005-221678	Aug 2005	JP
2005-311864	Nov 2005	JP
2006-146008	Jun 2006	JP
2007-4633	Jan 2007	JP
2008-26381	Feb 2008	JP
2008-97003	Apr 2008	JP
2008-236448	Oct 2008	JP
2008-271481	Nov 2008	JP
2009-036999	Feb 2009	JP
2009-98490	May 2009	JP
2009-294913	Dec 2009	JP
2010-535377	Nov 2010	JP
10-1999-0073234	Oct 1999	KR
10-2002-0069952	Sep 2002	KR
10-2003-0016993	Mar 2003	KR
10-2005-0083561	Aug 2005	KR
10-2006-0012730	Feb 2006	KR
10-2006-0073574	Jun 2006	KR
10-2007-0071675	Jul 2007	KR
10-0757496	Sep 2007	KR
10-0776800	Nov 2007	KR
10-0801227	Feb 2008	KR
10-0810500	Mar 2008	KR
10-2008-0049647	Jun 2008	KR
10-2008-0109322	Dec 2008	KR
10-2009-0001716	Jan 2009	KR
10-2009-0086805	Aug 2009	KR
10-0920267	Oct 2009	KR
10-2010-0119519	Nov 2010	KR
10-1032792	May 2011	KR
10-2011-0113414	Oct 2011	KR
1014847	Oct 2001	NL
1993020640	Oct 1993	WO
1994029788	Dec 1994	WO
1995002221	Jan 1995	WO
1995016950	Jun 1995	WO
1995017746	Jun 1995	WO
1997010586	Mar 1997	WO
1997026612	Jul 1997	WO
1997029614	Aug 1997	WO
1997038488	Oct 1997	WO
1998009270	Mar 1998	WO
1998033111	Jul 1998	WO
1998041956	Sep 1998	WO
1999001834	Jan 1999	WO
1999008238	Feb 1999	WO
1999016181	Apr 1999	WO
1999056227	Nov 1999	WO
2000019697	Apr 2000	WO
2000022820	Apr 2000	WO
2000029964	May 2000	WO
2000030070	May 2000	WO
2000038041	Jun 2000	WO
2000044173	Jul 2000	WO
2000060435	Oct 2000	WO
2000063766	Oct 2000	WO
2000068936	Nov 2000	WO
2001006489	Jan 2001	WO
2001030046	Apr 2001	WO
2001060435	Apr 2001	WO
2001033569	May 2001	WO
2001035391	May 2001	WO
2001046946	Jun 2001	WO
2001065413	Sep 2001	WO
2001067753	Sep 2001	WO
2002025610	Mar 2002	WO
2002031814	Apr 2002	WO
2002037469	May 2002	WO
2002073603	Sep 2002	WO
2003003152	Jan 2003	WO
2003003765	Jan 2003	WO
2003023786	Mar 2003	WO
2003041364	May 2003	WO
2003049494	Jun 2003	WO
2003056789	Jul 2003	WO
2003067202	Aug 2003	WO
2003084196	Oct 2003	WO
2004008801	Jan 2004	WO
2004025938	Mar 2004	WO
2004047415	Jun 2004	WO
2004055637	Jul 2004	WO
2004057486	Jul 2004	WO
2004061850	Jul 2004	WO
2004084413	Sep 2004	WO
2005003920	Jan 2005	WO
2005008505	Jan 2005	WO
2005008899	Jan 2005	WO
2005010725	Feb 2005	WO
2005027472	Mar 2005	WO
2005027485	Mar 2005	WO
2005031737	Apr 2005	WO
2005034085	Apr 2005	WO
2005041455	May 2005	WO
2005059895	Jun 2005	WO
2006020305	Feb 2006	WO
2006054724	May 2006	WO
2006056822	Jun 2006	WO
2006078246	Jul 2006	WO
2006101649	Sep 2006	WO
2006129967	Dec 2006	WO
2006133571	Dec 2006	WO
2007002753	Jan 2007	WO
2007080559	Jul 2007	WO
2007083894	Jul 2007	WO
2008071231	Jun 2008	WO
2008085742	Jul 2008	WO
2008109835	Sep 2008	WO
2008140236	Nov 2008	WO
2008153639	Dec 2008	WO
2009009240	Jan 2009	WO
2009017280	Feb 2009	WO
2009156438	Dec 2009	WO
2010075623	Jul 2010	WO
2011057346	May 2011	WO
2011088053	Jul 2011	WO
2011133543	Oct 2011	WO
2011150730	Dec 2011	WO
2011163350	Dec 2011	WO
2012167168	Dec 2012	WO

Non-Patent Literature Citations (918)

Entry
“Interactive Voice”, available at <http://www.helloivee.com/company/>, retrieved on Feb. 10, 2014, 2 pages.
“Meet Ivee, Your Wi-Fi Voice Activated Assistant”, available at <http://www.helloivee.com/>, retrieved on Feb. 10, 2014, 8 pages.
“Speaker Recognition”, Wikipedia, The Free Enclyclopedia, Nov. 2, 2010, 4 pages.
International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2012/029810, dated Oct. 3, 2013, 9 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2012/029810, dated Aug. 17, 2012, 11 pages.
Extended European Search Report and Search Opinion received for European Patent Application No. 12185276.8, dated Dec. 18, 2012, 4 pages.
Extended European Search Report received for European Patent Application No. 12186663.6, dated Jul. 16, 2013, 6 pages.
Apple Computer, “Knowledge Navigator”, published by Apple Computer no later than 2008, as depicted in Exemplary Screenshots from video entitled ‘Knowledge Navigator’, 2008, 7 pages.
Applebaum et al., “Enhancing the Discrimination of Speaker Independent Hidden Markov Models with Corrective Training”, International Conference on Acoustics, Speech, and Signal Processing, May 23, 1989, pp. 302-305.
Bellegarda, Jerome R. “Latent Semantic Mapping”, IEEE Signal Processing Magazine, vol. 22, No. 5, Sep. 2005, pp. 70-80.
Bellegarda et al., “Tied Mixture Continuous Parameter Modeling for Speech Recognition”, IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 38, No. 12, Dec. 1990, pp. 2033-2045.
Chang et al., “Discriminative Training of Dynamic Programming based Speech Recognizers”, IEEE Transactions on Speech and Audio Processing, vol. 1, No. 2, Apr. 1993, pp. 135-143.
Cheyer et al., “Demonstration Video of Multimodal Maps Using an Agent Architecture”, published by SRI International no later than 1996, as depicted in Exemplary Screenshots from video entitled Demonstration Video of Multimodal Maps Using an Agent Architecture, 1996, 6 pages.
Cheyer et al., “Demonstration Video of Multimodal Maps Using an Open-Agent Architecture”, published by SRI International no later than 1996, as depicted in Exemplary Screenshots from video entitled Demonstration Video of Multimodal Maps Using an Open-Agent Architecture, 6 pages.
Cheyer, A., “Demonstration Video of Vanguard Mobile Portal”, published by SRI International no later than 2004, as depicted in ‘Exemplary Screenshots from video entitled Demonstration Video of Vanguard Mobile Portal’, 2004, 10 pages.
Choi et al., “Acoustic and Visual Signal based Context Awareness System for Mobile Application”, IEEE Transactions on Consumer Electronics, vol. 57, No. 2, May 2011, pp. 738-746.
Kickstarter, “Ivee Sleek: Wi-Fi Voice-Activated Assistant”, available at <https://www.kickstarter.com/projects/ivee/ivee-sleek-wi-fi-voice-activated-assistant>, retrieved on Feb. 10, 2014, 13 pages.
Navigli, Roberto, “Word Sense Disambiguation: A Survey”, ACM Computing Surveys, vol. 41, No. 2, Feb. 2009, 70 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2014/015418, dated Aug. 26, 2014, 17 pages.
Guim, Mark, “How to Set a Person-Based Reminder with Cortana”, available at <http://www.wpcentral.com/how-to-person-based-reminder-cortana>, Apr. 26, 2014, 15 pages.
Miller, Chance, “Google Keyboard Updated with New Personalized Suggestions Feature”, available at <http://9to5google.com/2014/03/19/google-keyboard-updated-with-new-personalized-suggestions-feature/>, Mar. 19, 2014, 4 pages.
Roddy et al., “Interface Issues in Text Based Chat Rooms”, SIGCHI Bulletin, vol. 30, No. 2, Apr. 1998, pp. 119-123.
Viegas et al., “Chat Circles”, SIGCHI Conference on Human Factors in Computing Systems, May 15-20, 1999, pp. 9-16.
Markel et al., “Linear Prediction of Speech”, Springer-Verlag, Berlin, Heidelberg, New York, 1976, 12 pages.
Martin et al., “Building and Using Practical Agent Applications”, SRI International, PAAM Tutorial, 1998, 78 pages.
Martin et al., “Building Distributed Software Systems with the Open Agent Architecture”, Proceedings of the Third International Conference on the Practical Application of Intelligent Agents and Multi-Agent Technology, Mar. 1998, pp. 355-376.
Martin et al., “Development Tools for the Open Agent Architecture”, Proceedings of the International Conference on the Practical Application of Intelligent Agents and Multi-Agent Technology, Apr. 1996, pp. 1-17.
Martin et al., “Information Brokering in an Agent Architecture”, Proceedings of the Second International Conference on the Practical Application of Intelligent Agents and Multi-Agent Technology, Apr. 1997, pp. 1-20.
Martin et al., “Transportability and Generality in a Natural-Language Interface System”, Proceedings of the Eighth International Joint Conference on Artificial Intelligence, Technical Note 293, Aug. 1983, 21 pages.
Martin et al., “The Open Agent Architecture: A Framework for Building Distributed Software Systems”, Applied Artificial Intelligence: An International Journal, vol. 13, No. 1-2, available at <http://adam.cheyer.com/papers/oaa.pdf> >, retrieved from internet on Jan.-Mar. 1999.
Matiasek et al., “Tamic-P: A System for NL Access to Social Insurance Database”, 4th International Conference on Applications of Natural Language to Information Systems, Jun. 1999, 7 pages.
Mcguire et al., “SHADE: Technology for Knowledge-Based Collaborative Engineering”, Journal of Concurrent Engineering Applications and Research (CERA), 1993, 18 pages.
Meng et al., “Wheels: A Conversational System in the Automobile Classified Domain”, Proceedings of Fourth International Conference on Spoken Language, ICSLP 96, vol. 1, Oct. 1996, 4 pages.
Michos et al., “Towards an Adaptive Natural Language Interface to Command Languages”, Natural Language Engineering, vol. 2, No. 3, 1996, pp. 191-209.
Milstead et al., “Metadata: Cataloging by Any Other Name”, available at <http://www.iicm.tugraz.at/thesis/cguetl_diss/literatur/Kapitel06/References/Milstead_et_al._1999/metadata.html>, Jan. 1999, 18 pages.
Milward et al., “D2.2: Dynamic Multimodal Interface Reconfiguration, Talk and Look: Tools for Ambient Linguistic Knowledge”, available at <http://www.ihmc.us/users/nblaylock!Pubs/Files/talk d2.2.pdf>, Aug. 8, 2006, 69 pages.
Minker et al., “Hidden Understanding Models for Machine Translation”, Proceedings of ETRW on Interactive Dialogue in Multi-Modal Systems, Jun. 1999, pp. 1-4.
Mitra et al., “A Graph-Oriented Model for Articulation of Ontology Interdependencies”, Advances in Database Technology, Lecture Notes in Computer Science, vol. 1777, 2000, pp. 1-15.
Modi et al., “CMRadar: A Personal Assistant Agent for Calendar Management”, AAAI, Intelligent Systems Demonstrations, 2004, pp. 1020-1021.
Moore et al., “Combining Linguistic and Statistical Knowledge Sources in Natural-Language Processing for ATIS”, SRI International, Artificial Intelligence Center, 1995, 4 pages.
Moore, Robert C., “Handling Complex Queries in a Distributed Data Base”, SRI International, Technical Note 170, Oct. 8, 1979, 38 pages.
Moore, Robert C., “Practical Natural-Language Processing by Computer”, SRI International, Technical Note 251, Oct. 1981, 34 pages.
Moore et al., “SRI's Experience with the ATIS Evaluation”, Proceedings of the Workshop on Speech and Natural Language, Jun. 1990, pp. 147-148.
Moore et al., “The Information Warfare Advisor: An Architecture for Interacting with Intelligent Agents Across the Web”, Proceedings of Americas Conference on Information Systems (AMCIS), Dec. 31, 1998, pp. 186-188.
Moore, Robert C., “The Role of Logic in Knowledge Representation and Commonsense Reasoning”, SRI International, Technical Note 264, Jun. 1982, 19 pages.
Moore, Robert C., “Using Natural-Language Knowledge Sources in Speech Recognition”, SRI International, Artificial Intelligence Center, Jan. 1999, pp. 1-24.
Moran et al., “Intelligent Agent-Based User Interfaces”, Proceedings of International Workshop on Human Interface Technology, Oct. 1995, pp. 1-4.
Moran et al., “Multimodal User Interfaces in the Open Agent Architecture”, International Conference on Intelligent User Interfaces (IUI97), 1997, 8 pages.
Moran, Douglas B., “Quantifier Scoping in the SRI Core Language Engine”, Proceedings of the 26th Annual Meeting on Association for Computational Linguistics, 1988, pp. 33-40.
Morgan, B., “Business Objects (Business Objects for Windows) Business Objects Inc.”, DBMS, vol. 5, No. 10, Sep. 1992, 3 pages.
Motro, Amihai, “Flex: A Tolerant and Cooperative User Interface to Databases”, IEEE Transactions on Knowledge and Data Engineering, vol. 2, No. 2, Jun. 1990, pp. 231-246.
Mountford et al., “Talking and Listening to Computers”, The Art of Human-Computer Interface Design, Apple Computer, Inc., Addison-Wesley Publishing Company, Inc., 1990, 17 pages.
Mozer, Michael C., “An Intelligent Environment must be Adaptive”, IEEE Intelligent Systems, 1999, pp. 11-13.
Murty et al., “Combining Evidence from Residual Phase and MFCC Features for Speaker Recognition”, IEEE Signal Processing Letters, vol. 13, No. 1, Jan. 2006, 4 pages.
Murveit et al., “Integrating Natural Language Constraints into HMM-Based Speech Recognition”, International Conference on Acoustics, Speech and Signal Processing, Apr. 1990, 5 pages.
Murveit et al., “Speech Recognition in SRI's Resource Management and ATIS Systems”, Proceedings of the Workshop on Speech and Natural Language, 1991, pp. 94-100.
Nakagawa et al., “Speaker Recognition by Combining MFCC and Phase Information”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Mar. 2010, 4 pages.
Naone, Erica, “TR10: Intelligent Software Assistant”, Technology Review, Mar.-Apr. 2009, 2 pages.
Neches et al., “Enabling Technology for Knowledge Sharing”, Fall, 1991, pp. 37-56.
Niesler et al., “A Variable-Length Category-Based N-Gram Language Model”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'96), vol. 1, May 1996, 6 pages.
Noth et al., “Verbmobil: The Use of Prosody in the Linguistic Components of a Speech Understanding System”, IEEE Transactions on Speech and Audio Processing, vol. 8, No. 5, Sep. 2000, pp. 519-532.
Odubiyi et al., “SAIRE-A Scalable Agent-Based Information Retrieval Engine”, Proceedings of the First International Conference on Autonomous Agents, 1997, 12 pages.
Owei et al., “Natural Language Query Filtration in the Conceptual Query Language”, IEEE, 1997, pp. 539-549.
Pannu et al., “A Learning Personal Agent for Text Filtering and Notification”, Proceedings of the International Conference of Knowledge Based Systems, 1996, pp. 1-11.
Papadimitriou et al., “Latent Semantic Indexing: A Probabilistic Analysis”, Available online at <http://citeseerx.ist.psu.edu/messaqes/downloadsexceeded.html>, Nov. 14, 1997, 21 pages.
Parson, T. W., “Voice and Speech Processing”, Pitch and Formant Estimation, McGraw-Hill, Inc., ISBN: 0-07-0485541-0, 1987, 15 pages.
Parsons, T. W., “Voice and Speech Processing”, Linguistics and Technical Fundamentals, Articulatory Phonetics and Phonemics, McGraw-Hill, Inc., ISBN: 0-07-0485541-0, 1987, 5 pages.
International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US1993/012637, dated Apr. 10, 1995, 7 pages.
International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US1993/012666, dated Mar. 1, 1995, 5 pages.
International Search Report received for PCT Patent Application No. PCT/US1993/012666, dated Nov. 9, 1994, 8 pages.
International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US1994/011011, dated Feb. 28, 1996, 4 pages.
International Search Report received for PCT Patent Application No. PCT/US1994/011011, dated Feb. 8, 1995, 7 pages.
Written Opinion received for PCT Patent Application No. PCT/US1994/011011, dated Aug. 21, 1995, 4 pages.
International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US1995/008369, dated Oct. 9, 1996, 4 pages.
International Search Report received for PCT Patent Application No. PCT/US1995/008369, dated Nov. 8, 1995, 6 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2010/037378, dated Aug. 25, 2010, 14 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2011/020861, dated Nov. 29, 2011, 12 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2012/040571, dated Nov. 16, 2012, 14 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2012/056382, dated Dec. 20, 2012, 11 pages.
Pereira, Fernando, “Logic for Natural Language Analysis”, SRI International, Technical Note 275, Jan. 1983, 194 pages.
Perrault et al., “Natural-Language Interfaces”, SRI International, Technical Note 393, Aug. 22, 1986, 48 pages.
Phoenix Solutions, Inc., “Declaration of Christopher Schmandt Regarding the MIT Galaxy System”, West Interactive Corp., A Delaware Corporation, Document 40, Jul. 2, 2010, 162 pages.
Picone, J., “Continuous Speech Recognition using Hidden Markov Models”, IEEE ASSP Magazine, vol. 7, No. 3, Jul. 1990, 16 pages.
Pulman et al., “Clare: A Combined Language and Reasoning Engine”, Proceedings of JFIT Conference, available at <http://www.cam.sri.com/tr/crc042/paper.ps.Z>, 1993, 8 pages.
Rabiner et al., “Fundamental of Speech Recognition”, AT&T, Published by Prentice-Hall, Inc., ISBN: 0-13-285826-6, 1993, 17 pages.
Rabiner et al., “Note on the Properties of a Vector Quantizer for LPC Coefficients”, Bell System Technical Journal, vol. 62, No. 8, Oct. 1983, 9 pages.
Ratcliffe, M., “ClearAccess 2.0 Allows SQL Searches Off-Line (Structured Query Language) (ClearAccess Corp. Preparing New Version of Data-Access Application with Simplified User Interface, New Features) (Product Announcement)”, MacWeek, vol. 6, No. 41, Nov. 16, 1992, 2 pages.
Ravishankar, Mosur K., “Efficient Algorithms for Speech Recognition”, Doctoral Thesis Submitted to School of Computer Science, Computer Science Division, Carnegie Mellon University, Pittsburgh, May 15, 1996, 146 pages.
Rayner, M., “Abductive Equivalential Translation and its Application to Natural Language Database Interfacing”, Dissertation Paper, SRI International, Sep. 1993, 162 pages.
Rayner et al., “Adapting the Core Language Engine to French and Spanish”, Cornell University Library, available at <http:l/arxiv.org/abs/cmp-lg/9605015>, May 10, 1996, 9 pages.
Rayner et al., “Deriving Database Queries from Logical Forms by Abductive Definition Expansion”, Proceedings of the Third Conference on Applied Natural Language Processing, ANLC, 1992, 8 pages.
Rayner, Manny, “Linguistic Domain Theories: Natural-Language Database Interfacing from First Principles”, SRI International, Cambridge, 1993, 11 pages.
Rayner et al., “Spoken Language Translation with Mid-90's Technology: A Case Study”, Eurospeech, ISCA, Available online at <http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.54.8608>, 1993, 4 pages.
Remde et al., “SuperBook: An Automatic Tool for Information Exploration-Hypertext?”, In Proceedings of Hypertext, 87 Papers, Nov. 1987, 14 pages.
Reynolds, C. F., “On-Line Reviews: A New Application of the HICOM Conferencing System”, IEEE Colloquium on Human Factors in Electronic Mail and Conferencing Systems, Feb. 3, 1989, 4 pages.
Rice et al., “Monthly Program: Nov. 14, 1995”, The San Francisco Bay Area Chapter of ACM SIGCHI, available at <http://www.baychi.org/calendar/19951114>, Nov. 14, 1995, 2 pages.
Rice et al., “Using the Web Instead of a Window System”, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, CHI'96, 1996, pp. 1-14.
Rigoll, G., “Speaker Adaptation for Large Vocabulary Speech Recognition Systems Using Speaker Markov Models”, International Conference on Acoustics, Speech and Signal Processing (ICASSP'89), May 1989, 4 pages.
Riley, M D., “Tree-Based Modelling of Segmental Durations”, Talking Machines Theories, Models and Designs, Elsevier Science Publishers B.V., North-Holland, ISBN: 08-444-89115.3, 1992, 15 pages.
Rivlin et al., “Maestro: Conductor of Multimedia Analysis Technologies”, SRI International, 1999, 7 pages.
Rivoira et al., “Syntax and Semantics in a Word-Sequence Recognition System”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'79), Apr. 1979, 5 pages.
Roddy et al., “Communication and Collaboration in a Landscape of B2B eMarketplaces”, VerticalNet Solutions, White Paper, Jun. 15, 2000, 23 pages.
Rosenfeld, R., “A Maximum Entropy Approach to Adaptive Statistical Language Modelling”, Computer Speech and Language, vol. 10, No. 3, Jul. 1996, 25 pages.
Roszkiewicz, A., “Extending your Apple”, Back Talk-Lip Service, A+ Magazine, The Independent Guide for Apple Computing, vol. 2, No. 2, Feb. 1984, 5 pages.
Rudnicky et al., “Creating Natural Dialogs in the Carnegie Mellon Communicator System”, Proceedings of Eurospeech, vol. 4, 1999, pp. 1531-1534.
Russell et al., “Artificial Intelligence, A Modern Approach”, Prentice Hall, Inc., 1995, 121 pages.
Sacerdoti et al., “A Ladder User's Guide (Revised)”, SRI International Artificial Intelligence Center, Mar. 1980, 39 pages.
Sagalowicz, D., “AD-Ladder User's Guide”, SRI International, Sep. 1980, 42 pages.
Sakoe et al., “Dynamic Programming Algorithm Optimization for Spoken Word Recognition”, IEEE Transactions on Acoustics, Speech and Signal Processing, vol. ASSP-26, No. 1, Feb. 1978, 8 pages.
Salton et al., “On the Application of Syntactic Methodologies in Automatic Text Analysis”, Information Processing and Management, vol. 26, No. 1, Great Britain, 1990, 22 pages.
Sameshima et al., “Authorization with Security Attributes and Privilege Delegation Access control beyond the ACL”, Computer Communications, vol. 20, 1997, 9 pages.
San-Segundo et al., “Confidence Measures for Dialogue Management in the CU Communicator System”, Proceedings of Acoustics, Speech and Signal Processing (ICASSP'00), Jun. 2000, 4 pages.
Sato, H., “A Data Model, Knowledge Base and Natural Language Processing for Sharing a Large Statistical Database”, Statistical and Scientific Database Management, Lecture Notes in Computer Science, vol. 339, 1989, 20 pages.
Savoy, J., “Searching Information in Hypertext Systems Using Multiple Sources of Evidence”, International Journal of Man-Machine Studies, vol. 38, No. 6, Jun. 1996, 15 pages.
Scagliola, C., “Language Models and Search Algorithms for Real-Time Speech Recognition”, International Journal of Man-Machine Studies, vol. 22, No. 5, 1985, 25 pages.
Schmandt et al., “Augmenting a Window System with Speech Input”, IEEE Computer Society, Computer, vol. 23, No. 8, Aug. 1990, 8 pages.
Schnelle, Dirk, “Context Aware Voice User Interfaces for Workflow Support”, Dissertation paper, Aug. 27, 2007, 254 pages.
Schütze, H., “Dimensions of Meaning”, Proceedings of Supercomputing'92 Conference, Nov. 1992, 10 pages.
Seneff et al., “A New Restaurant Guide Conversational System: Issues in Rapid Prototyping for Specialized Domains”, Proceedings of Fourth International Conference on Spoken Language, vol. 2, 1996, 4 pages.
Sharoff et al., “Register-Domain Separation as a Methodology for Development of Natural Language Interfaces to Databases”, Proceedings of Human-Computer Interaction (INTERACT'99), 1999, 7 pages.
Sheth et al., “Evolving Agents for Personalized Information Filtering”, Proceedings of the Ninth Conference on Artificial Intelligence for Applications, Mar. 1993, 9 pages.
Sheth et al., “Relationships at the Heart of Semantic Web: Modeling, Discovering, and Exploiting Complex Semantic Relationships”, Enhancing the Power of the Internet: Studies in Fuzziness and Soft Computing, Oct. 13, 2002, pp. 1-38.
Shikano et al., “Speaker Adaptation through Vector Quantization”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'86), vol. 11, Apr. 1986, 4 pages.
Apple Computer, Inc., “iTunes 2: Specification Sheet”, 2001, 2 pages.
Apple Computer, Inc., “iTunes, Playlist Related Help Screens”, iTunes v1.0, 2000-2001, 8 pages.
Apple Computer, Inc., “QuickTime Movie Playback Programming Guide”, Aug. 11, 2005, pp. 1-58.
Apple Computer, Inc., “QuickTime Overview”, Aug. 11, 2005, pp. 1-34.
Apple Computer, Inc., “Welcome to Tiger”, available at <http://www.maths.dundee.ac.uk/software/Welcome_to_Mac_OS_X_v10.4_Tiger.pdf>, 2005, pp. 1-32.
“Corporate Ladder”, BLOC Publishing Corporation, 1991, 1 page.
Arango et al., “Touring Machine: A Software Platform for Distributed Multimedia Applications”, 1992 IFIP International Conference on Upper Layer Protocols, Architectures, and Applications, May 1992, pp. 1-11.
Arons, Barry M., “The Audio-Graphical Interface to a Personal Integrated Telecommunications System”, Thesis Submitted to the Department of Architecture at the Massachusetts Institute of Technology, Jun. 1984, 88 pages.
Badino et al., “Language Independent Phoneme Mapping for Foreign TTS”, 5th ISCA Speech Synthesis Workshop, Pittsburgh, PA, Jun. 14-16, 2004, 2 pages.
Baechtle et al., “Adjustable Audio Indicator”, IBM Technical Disclosure Bulletin, Jul. 1, 1984, 2 pages.
Baeza-Yates, Ricardo, “Visualization of Large Answers in Text Databases”, AVI '96 Proceedings of the Workshop on Advanced Visual Interfaces, 1996, pp. 101-107.
Bahl et al., “Recognition of a Continuously Read Natural Corpus”, IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 3, Apr. 1978, pp. 422-424.
Bajarin, Tim, “With Low End Launched, Apple Turns to Portable Future”, PC Week, vol. 7, Oct. 1990, p. 153 (1).
Barthel, B., “Information Access for Visually Impaired Persons: Do We Still Keep a “Document” in “Documentation”?”, Professional Communication Conference, Sep. 1995, pp. 62-66.
Baudel et al., “2 Techniques for Improved HC Interaction: Toolglass & Magic Lenses: The See-Through Interface”, Apple Inc., Video Clip, CHI'94 Video Program on a CD, 1994.
Beck et al., “Integrating Natural Language, Query Processing, and Semantic Data Models”, COMCON Spring '90. IEEE Computer Society International Conference, 1990, Feb.26-Mar. 2, 1990, pp. 538-543.
Bederson et al., “PAD++: A Zooming Graphical Interface for Exploring Alternate Interface Physics”, UIST' 94 Proceedings of the 7th Annual ACM symposium on User Interface Software and Technology, Nov. 1994, pp. 17-26.
Bederson et al., “The Craft of Information Visualization”, Elsevier Science, Inc., 2003, 435 pages.
“Diagrammaker”, Action Software, 1989.
“Diagram-Master”, Ashton-Tate, 1989.
Benel et al., “Optimal Size and Spacing of Touchscreen Input Areas”, Human-Computer Interaction—INTERACT, 1987, pp. 581-585.
Beringer et al., “Operator Behavioral Biases Using High-Resolution Touch Input Devices”, Proceedings of the Human Factors and Ergonomics Society 33rd Annual Meeting, 1989, 3 pages.
Beringer, Dennis B., “Target Size, Location, Sampling Point and Instruction Set: More Effects on Touch Panel Operation”, Proceedings of the Human Factors and Ergonomics Society 34th Annual Meeting, 1990, 5 pages.
Bernabei et al., “Graphical I/O Devices for Medical Users”, 14th Annual International Conference of the IEEE on Engineering in Medicine and Biology Society, vol. 3, 1992, pp. 834-836.
Bernstein, Macrophone, “Speech Corpus”, IEEE/ICASSP, Apr. 22, 1994, pp. 1-81 to 1-84.
Berry et al., “Symantec”, New version of MORE.TM, Apr. 10, 1990, 1 page.
Best Buy, “When it Comes to Selecting a Projection TV, Toshiba Makes Everything Perfectly Clear”, Previews of New Releases, available at <http://www.bestbuy.com/HomeAudioVideo/Specials/ToshibaTVFeatures.asp>, retrieved on Jan. 23, 2003, 5 pages.
Betts et al., “Goals and Objectives for User Interface Software”, Computer Graphics, vol. 21, No. 2, Apr. 1987, pp. 73-78.
Biemann, Chris, “Unsupervised Part-of-Speech Tagging Employing Efficient Graph Clustering”, Proceeding COLING ACL '06 Proceedings of the 21st International Conference on computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop, 2006, pp. 7-12.
Bier et al., “Toolglass and Magic Lenses: The See-Through Interface”, Computer Graphics (SIGGRAPH '93 Proceedings), vol. 27, 1993, pp. 73-80.
Birrell, Andrew, “Personal Jukebox (PJB)”, available at <http://birrell.org/andrew/talks/pjb-overview.ppt>, Oct. 13, 2000, 6 pages.
Black et al., “Multilingual Text-to-Speech Synthesis”, Acoustics, Speech and Signal Processing (ICASSP'04) Proceedings of the IEEE International Conference, vol. 3, May 17-21, 2004, 4 pages.
Bleher et al., “A Graphic Interactive Application Monitor”, IBM Systems Journal, vol. 19, No. 3, Sep. 1980, pp. 382-402.
Bluetooth PC Headsets, “‘Connecting’ Your Bluetooth Headset with Your Computer”, Enjoy Wireless VoIP Conversations, available at <http://www.bluetoothpcheadsets.com/connect.htm>, retrieved on Apr. 29, 2006, 4 pages.
Bocchieri et al., “Use of Geographical Meta-Data in ASR Language and Acoustic Models”, IEEE International Conference on Acoustics Speech and Signal Processing, 2010, pp. 5118-5121.
Bociurkiw, Michael, “Product Guide: Vanessa Matz”, available at <http://www.forbes.com/asap/2000/1127/vmartz_print.html>, retrieved on Jan. 23, 2003, 2 pages.
“Glossary of Adaptive Technologies: Word Prediction”, available at <http://www.utoronto.ca/atrc/reference/techwordpred.html>, retrieved on Dec. 6, 2005, 5 pages.
Borenstein, Nathaniel S., “Cooperative Work in the Andrew Message System”, Information Technology Center and Computer Science Department, Carnegie Mellon University; Thyberg, Chris A. Academic Computing, Carnegie Mellon University, 1988, pp. 306-323.
Boy, Guy A., “Intelligent Assistant Systems”, Harcourt Brace Jovanovicy, 1991, 1 page.
“IAP Sports Lingo 0×09 Protocol V1.00”, May 1, 2006, 17 pages.
Brown et al., “Browing Graphs Using a Fisheye View”, Apple Inc., Video Clip, Systems Research Center, CHI '92 Continued Proceedings on a CD, 1992.
Brown et al., “Browsing Graphs Using a Fisheye View”, CHI '93 Proceedings of the Interact '93 and CHI '93 Conference on Human Factors in Computing Systems, 1993, p. 516.
Burger, D., “Improved Access to Computers for the Visually Handicapped: New Prospects and Principles”, IEEE Transactions on Rehabilitation Engineering, vol. 2, No. 3, Sep. 1994, pp. 111-118.
“IEEE 1394 (Redirected from Firewire”, Wikipedia, The Free Encyclopedia, available at <http://www.wikipedia.org/wiki/Firewire>, retrieved on Jun. 8, 2003, 2 pages.
Butler, Travis, “Archos Jukebox 6000 Challenges Nomad Jukebox”, available at <http:tidbits.com/article/6521>, Aug. 13, 2001, 5 pages.
Butler, Travis, “Portable MP3: The Nomad Jukebox”, available at <http://tidbits.com/article/6261>, Jan. 8, 2001, 4 pages.
Buxton et al., “EuroPARC's Integrated Interactive Intermedia Facility (IIIF): Early Experiences”, Proceedings of the IFIP WG 8.4 Conference on Multi-User Interfaces and Applications, 1990, pp. 11-34.
CALL Centre, “Word Prediction”, The CALL Centre & Scottish Executive Education Dept., 1999, pp. 63-73.
Campbell et al., “An Expandable Error-Protected 4800 BPS CELP Coder (U.S. Federal Standard 4800 BPS Voice Coder)”, (Proceedings of IEEE Int'l Acoustics, Speech, and Signal Processing Conference, May 1983), as reprinted in Vector Quantization (IEEE Press, 1990), 1990, pp. 328-330.
Card et al., “Readings in Information Visualization Using Vision to Think”, Interactive Technologies, 1999, 712 pages.
IBM, “Integrated Audio-Graphics User Interface”, IBM Technical Disclosure Bulletin, vol. 33, No. 11, Apr. 1991, 4 pages.
IBM, “Speech Recognition with Hidden Markov Models of Speech Waveforms”, IBM Technical Disclosure Bulletin, vol. 34, No. 1, Jun. 1991, 10 pages.
Intraspect Software, “The Intraspect Knowledge Management Solution: Technical Overview”, available at <http://tomgruber.org/writing/intraspect-whitepaper-1998.pdf>, 1998, 18 pages.
Iowegian International, “FIR Filter Properties, DSPGuru, Digital Signal Processing Central”, available at <http://www.dspguru.com/dsp/faq/fir/properties> retrieved on Jul. 28, 2010, 6 pages.
Issar et al., “CMU's Robust Spoken Language Understanding System”, Proceedings of Eurospeech, 1993, 4 pages.
Issar, Sunil, “Estimation of Language Models for New Spoken Language Applications”, Proceedings of 4th International Conference on Spoken language Processing, Oct. 1996, 4 pages.
Jacobs et al., “Scisor: Extracting Information from On-Line News”, Communications of the ACM, vol. 33, No. 11, Nov. 1990, 10 pages.
Janas, Jurgen M., “The Semantics-Based Natural Language Interface to Relational Databases”, Chapter 6, Cooperative Interfaces to Information Systems, 1986, pp. 143-188.
Jelinek, F., “Self-Organized Language Modeling for Speech Recognition”, Readings in Speech Recognition, Edited by Alex Waibel and Kai-Fu Lee, Morgan Kaufmann Publishers, Inc., ISBN: 1-55860-124-4, 1990, 63 pages.
Jennings et al., “A Personal News Service Based on a User Model Neural Network”, IEICE Transactions on Information and Systems, vol. E75-D, No. 2, Mar. 1992, 12 pages.
Ji et al., “A Method for Chinese Syllables Recognition Based upon Sub-syllable Hidden Markov Model”, 1994 International Symposium on Speech, Image Processing and Neural Networks, Hong Kong, Apr. 1994, 4 pages.
Johnson, Julia Ann., “A Data Management Strategy for Transportable Natural Language Interfaces”, Doctoral Thesis Submitted to the Department of Computer Science, University of British Columbia, Canada, Jun. 1989, 285 pages.
Jones, J., “Speech Recognition for Cyclone”, Apple Computer, Inc., E.R.S. Revision 2.9, Sep. 10, 1992, 93 pages.
Julia et al., “http://www.speech.sri.com/demos/atis.html”, Proceedings of AAAI, Spring Symposium, 1997, 5 pages.
Julia et al., “Un Editeur Interactif De Tableaux Dessines a Main Levee (An Interactive Editor for Hand-Sketched Tables)”, Traitement du Signal, vol. 12, No. 6, 1995, pp. 619-626.
Kahn et al., “CoABS Grid Scalability Experiments”, Autonomous Agents and Multi-Agent Systems, vol. 7, 2003, pp. 171-178.
Kamel et al., “A Graph Based Knowledge Retrieval System”, IEEE International Conference on Systems, Man and Cybernetics, 1990, pp. 269-275.
Karp, P. D., “A Generic Knowledge-Base Access Protocol”, Available online at <http://lecture.cs.buu.ac.th/-f50353/Document/gfp.pdf>, May 12, 1994, 66 pages.
Katz, Boris, “A Three-Step Procedure for Language Generation”, Massachusetts Institute of Technology, A.I. Memo No. 599, Dec. 1980, pp. 1-40.
Katz, Boris, “Annotating the World Wide Web Using Natural Language”, Proceedings of the 5th RIAO Conference on Computer Assisted Information Searching on the Internet, 1997, 7 pages.
Katz, S. M., “Estimation of Probabilities from Sparse Data for the Language Model Component of a Speech Recognizer”, IEEE Transactions on Acoustics, Speech and Signal Processing, vol. ASSP-35, No. 3, Mar. 1987, 3 pages.
Katz et al., “Exploiting Lexical Regularities in Designing Natural Language Systems”, Proceedings of the 12th International Conference on Computational Linguistics, 1988, pp. 1-22.
Katz et al., “REXTOR: A System for Generating Relations from Natural Language”, Proceedings of the ACL Workshop on Natural Language Processing and Information Retrieval (NLP&IR), Oct. 2000, 11 pages.
Katz, Boris, “Using English for Indexing and Retrieving”, Proceedings of the 1st RIAO Conference on User-Oriented Content-Based Text and Image Handling, 1988, pp. 314-332.
Kitano, H., “PhiDM-Dialog, An Experimental Speech-to-Speech Dialog Translation System”, Computer, vol. 24, No. 6, Jun. 1991, 13 pages.
Klabbers et al., “Reducing Audible Spectral Discontinuities”, IEEE Transactions on Speech and Audio Processing, vol. 9, No. 1, Jan. 2001, 13 pages.
Klatt et al., “Linguistic Uses of Segmental Duration in English: Acoustic and Perpetual Evidence”, Journal of the Acoustical Society of America, vol. 59, No. 5, May 1976, 16 pages.
Knownav, “Knowledge Navigator”, YouTube Video available at <http://www.youtube.com/watch?v=QRH8eimU_20>, Apr. 29, 2008, 1 page.
Kominek et al., “Impact of Durational Outlier Removal from Unit Selection Catalogs”, 5th ISCA Speech Synthesis Workshop, Jun. 14-16, 2004, 6 pages.
Konolige, Kurt, “A Framework for a Portable Natural-Language Interface to Large Data Bases”, SRI International, Technical Note 197, Oct. 12, 1979, 54 pages.
Kubala et al., “Speaker Adaptation from a Speaker-Independent Training Corpus”, International Conference on Acoustics, Speech and Signal Processing (ICASSP'90), Apr. 1990, 4 pages.
Kubala et al., “The Hub and Spoke Paradigm for CSR Evaluation”, Proceedings of the Spoken Language Technology Workshop, Mar. 1994, 9 pages.
Laird et al., “SOAR: An Architecture for General Intelligence”, Artificial Intelligence, vol. 33, 1987, pp. 1-64.
Langley et al., “A Design for the ICARUS Architechture”, SIGART Bulletin, vol. 2, No. 4, 1991, pp. 104-109.
Larks, “Intelligent Software Agents”, available at <http://www.cs.cmu.edu/˜softagents/larks.html> retrieved on Mar. 15, 2013, 2 pages.
Lee et al., “A Real-Time Mandarin Dictation Machine for Chinese Language with Unlimited Texts and Very Large Vocabulary”, International Conference on Acoustics, Speech and Signal Processing, vol. 1, Apr. 1990, 5 pages.
Lee et al., “Golden Mandarin (II)—An Improved Single-Chip Real-Time Mandarin Dictation Machine for Chinese Language with Very Large Vocabulary”, IEEE International Conference of Acoustics, Speech and Signal Processing, vol. 2, 1993, 4 pages.
Lee et al., “Golden Mandarin (II)—An Intelligent Mandarin Dictation Machine for Chinese Character Input with Adaptation/Learning Functions”, International Symposium on Speech, Image Processing and Neural Networks, Hong Kong, Apr. 1994, 5 pages.
Lee, K. F., “Large-Vocabulary Speaker-Independent Continuous Speech Recognition: The SPHINX System”, Partial Fulfillment of the Requirements for the Degree of Doctorof Philosophy, Computer Science Department, Carnegie Mellon University, Apr. 1988, 195 pages.
Lee et al., “System Description of Golden Mandarin (I) Voice Input for Unlimited Chinese Characters”, International Conference on Computer Processing of Chinese & Oriental Languages, vol. 5, No. 3 & 4, Nov. 1991, 16 pages.
Lemon et al., “Multithreaded Context for Robust Conversational Interfaces: Context-Sensitive Speech Recognition and Interpretation of Corrective Fragments”, ACM Transactions on Computer-Human Interaction, vol. 11, No. 3, Sep. 2004, pp. 241-267.
Leong et al., “CASIS: A Context-Aware Speech Interface System”, Proceedings of the 10th International Conference on Intelligent User Interfaces, Jan. 2005, pp. 231-238.
Lieberman et al., “Out of Context: Computer Systems that Adapt to, and Learn from, Context”, IBM Systems Journal, vol. 39, No. 3 & 4, 2000, pp. 617-632.
Lin et al., “A Distributed Architecture for Cooperative Spoken Dialogue Agents with Coherent Dialogue State and History”, Available on line at <http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.42.272>, 1999, 4 pages.
Lin et al., “A New Framework for Recognition of Mandarin Syllables with Tones Using Sub-syllabic Unites”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-93), Apr. 1993, 4 pages.
Linde et al., “An Algorithm for Vector Quantizer Design”, IEEE Transactions on Communications, vol. 28, No. 1, Jan. 1980, 12 pages.
Liu et al., “Efficient Joint Compensation of Speech for the Effects of Additive Noise and Linear Filtering”, IEEE International Conference of Acoustics, Speech and Signal Processing, ICASSP-92, Mar. 1992, 4 pages.
Logan et al., “Mel Frequency Cepstral Co-efficients for Music Modeling”, International Symposium on Music Information Retrieval, 2000, 2 pages.
Lowerre, B. T., “The-Harpy Speech Recognition System”, Doctoral Dissertation, Department of Computer Science, Carnegie Mellon University, Apr. 1976, 20 pages.
Maghbouleh, Arman, “An Empirical Comparison of Automatic Decision Tree and Linear Regression Models for Vowel Durations”, Revised Version of a Paper Presented at the Computational Phonology in Speech Technology Workshop, 1996 Annual Meeting of the Association for Computational Linguistics in Santa Cruz, California, 7 pages.
Gruber, Tom, “2021: Mass Collaboration and the Really New Economy”, TNTY Futures, vol. 1, No. 6, Available online at <http://tomgruber.org/writing/tnty2001.htm>, Aug. 2001, 5 pages.
Gruber, Tom, “Collaborating Around Shared Content on the WWW, W3C Workshop on WWW and Collaboration”, available at <http://www.w3.org/Collaboration/Workshop/Proceedings/P9.html>, Sep. 1995, 1 page.
Gruber, Tom, “Collective Knowledge Systems: Where the Social Web Meets the Semantic Web”, Web Semantics: Science, Services and Agents on the World Wide Web, 2007, pp. 1-19.
Gruber, Tom, “Despite Our Best Efforts, Ontologies are not the Problem”, AAAI Spring Symposium, Available online at <http://tomgruber.org/writing/aaai-ss08.htm>, Mar. 2008, pp. 1-40.
Gruber, Tom, “Enterprise Collaboration Management with Intraspect”, Intraspect Technical White Paper, Jul. 2001, pp. 1-24.
Gruber, Tom, “Every Ontology is a Treaty-A Social Agreement-Among People with Some Common Motive in Sharing”, Official Quarterly Bulletin of AIS Special Interest Group on Semantic Web and Information Systems, vol. 1, No. 3, 2004, pp. 1-5.
Gruber, Tom, “Helping Organizations Collaborate, Communicate, and Learn”, Presentation to NASA Ames Research, Available online at <http://tomgruber.org/writing/organizational-intelligence-talk.htm>, Mar.-Oct. 2003, 30 pages.
Gruber, Tom, “Intelligence at the Interface: Semantic Technology and the Consumer Internet Experience”, Presentation at Semantic Technologies Conference, Available online at <http://tomgruber.org/writing/semtech08.htm>, May 20, 2008, pp. 1-40.
Gruber, Tom, “It Is What It Does: The Pragmatics of Ontology for Knowledge Sharing”, Proceedings of the International CIDOC CRM Symposium, Available online at <http://tomgruber.org/writing/cidoc-ontology.htm>, Mar. 26, 2003, 21 pages.
Gruber, Tom, “Ontologies, Web 2.0 and Beyond”, Ontology Summit, Available online at <http://tomgruber.org/writing/ontolog-social-web-keynote.htm>, Apr. 2007, 17 pages.
Gruber, Tom, “Ontology of Folksonomy: A Mash-Up of Apples and Oranges”, Int'l Journal on Semantic Web & Information Systems, vol. 3, No. 2, 2007, 7 pages.
Gruber, Tom, “Siri, A Virtual Personal Assistant-Bringing Intelligence to the Interface”, Semantic Technologies Conference, Jun. 16, 2009, 21 pages.
Gruber, Tom, “TagOntology”, Presentation to Tag Camp, Oct. 29, 2005, 20 pages.
Gruber, Tom, “Where the Social Web Meets the Semantic Web”, Presentation at the 5th International Semantic Web Conference, Nov. 2006, 38 pages.
Guida et al., “NLI: A Robust Interface for Natural Language Person-Machine Communication”, International Journal of Man-Machine Studies, vol. 17, 1982, 17 pages.
Guzzoni et al., “A Unified Platform for Building Intelligent Web Interaction Assistants”, Proceedings of the 2006 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology, Computer Society, 2006, 4 pages.
Guzzoni et al., “Active, A Platform for Building Intelligent Operating Rooms”, Surgetica 2007 Computer-Aided Medical Interventions: Tools and Applications, 2007, pp. 191-198.
Guzzoni et al., “Active, A platform for Building Intelligent Software”, Computational Intelligence, available at <http://www.informatik.uni-trier.del-ley/pers/hd/g/Guzzoni:Didier >, 2006, 5 pages.
Guzzoni et al., “Active, A Tool for Building Intelligent User Interfaces”, ASC 2007, Palma de Mallorca, Aug. 2007, 6 pages.
Guzzoni, D., “Active: A Unified Platform for Building Intelligent Assistant Applications”, Oct. 25, 2007, 262 pages.
Guzzoni et al., “Many Robots Make Short Work”, AAAI Robot Contest, SRI International, 1996, 9 pages.
Guzzoni et al., “Modeling Human-Agent Interaction with Active Ontologies”, AAAI Spring Symposium, Interaction Challenges for Intelligent Assistants, Stanford University, Palo Alto, California, 2007, 8 pages.
Haas et al., “An Approach to Acquiring and Applying Knowledge”, SRI international, Nov. 1980, 22 pages.
Hadidi et al., “Student's Acceptance of Web-Based Course Offerings: An Empirical Assessment”, Proceedings of the Americas Conference on Information Systems(AMCIS), 1998, 4 pages.
Hardwar, Devindra, “Driving App Waze Builds its own Siri for Hands-Free Voice Control”, Available online at <http://venturebeat.com/2012/02/09/driving-app-waze-builds-its-own-siri-for-hands-free-voice-control/>, retrieved on Feb. 9, 2012, 4 pages.
Harris, F. J., “On the Use of Windows for Harmonic Analysis with the Discrete Fourier Transform”, In Proceedings of the IEEE, vol. 66, No. 1, Jan. 1978, 34 pages.
Hawkins et al., “Hierarchical Temporal Memory: Concepts, Theory and Terminology”, Numenta, Inc., Mar. 27, 2007, 20 pages.
He et al., “Personal Security Agent: KQML-Based PKI”, The Robotics Institute, Carnegie-Mellon University, Paper, 1997, 14 pages.
Helm et al., “Building Visual Language Parsers”, Proceedings of CHI'91, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1991, 8 pages.
Hendrix et al., “Developing a Natural Language Interface to Complex Data”, ACM Transactions on Database Systems, vol. 3, No. 2, Jun. 1978, pp. 105-147.
Hendrix, Gary G., “Human Engineering for Applied Natural Language Processing”, SRI International, Technical Note 139, Feb. 1977, 27 pages.
Hendrix, Gary G., “Klaus: A System for Managing Information and Computational Resources”, SRI International, Technical Note 230, Oct. 1980, 34 pages.
Hendrix, Gary G., “Lifer: A Natural Language Interface Facility”, SRI Stanford Research Institute, Technical Note 135, Dec. 1976, 9 pages.
Hendrix, Gary G., “Natural-Language Interface”, American Journal of Computational Linguistics, vol. 8, No. 2, Apr.-Jun. 1982, pp. 56-61.
Hendrix, Gary G., “The Lifer Manual: A Guide to Building Practical Natural Language Interfaces”, SRI International, Technical Note 138, Feb. 1977, 76 pages.
Hendrix et al., “Transportable Natural-Language Interfaces to Databases”, SRI International, Technical Note 228, Apr. 30, 1981, 18 pages.
Hermansky, H., “Perceptual Linear Predictive (PLP) Analysis of Speech”, Journal of the Acoustical Society of America, vol. 87, No. 4, Apr. 1990, 15 pages.
Hermansky, H., “Recognition of Speech in Additive and Convolutional Noise Based on Rasta Spectral Processing”, Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'93), Apr. 1993, 4 pages.
Hirschman et al., “Multi-Site Data Collection and Evaluation in Spoken Language Understanding”, Proceedings of the Workshop on Human Language Technology, 1993, pp. 19-24.
Hobbs et al., “Fastus: A System for Extracting Information from Natural-Language Text”, SRI International, Technical Note 519, Nov. 19, 1992, 26 pages.
Hobbs et al., “Fastus: Extracting Information from Natural-Language Texts”, SRI International, 1992, pp. 1-22.
Hobbs, Jerry R., “Sublanguage and Knowledge”, SRI International, Technical Note 329, Jun. 1984, 30 pages.
Hodjat et al., “Iterative Statistical Language Model Generation for use with an Agent-Oriented Natural Language Interface”, Proceedings of HCI International, vol. 4, 2003, pp. 1422-1426.
Hoehfeld et al., “Learning with Limited Numerical Precision Using the Cascade-Correlation Algorithm”, IEEE Transactions on Neural Networks, vol. 3, No. 4, Jul. 1992, 18 pages.
Holmes, J. N., “Speech Synthesis and Recognition-Stochastic Models for Word Recognition”, Published by Chapman & Hall, London, ISBN 0 412 534304, 1998, 7 pages.
Hon et al., “CMU Robust Vocabulary-Independent Speech Recognition System”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP-91), Apr. 1991, 4 pages.
Horvitz et al., “Handsfree Decision Support: Toward a Non-invasive Human-Computer Interface”, Proceedings of the Symposium on Computer Applications in Medical Care, IEEE Computer Society Press, 1995, p. 955.
Horvitz et al., “In Pursuit of Effective Handsfree Decision Support: Coupling Bayesian Inference, Speech Understanding, and User Models”, 1995, 8 pages.
Huang et al., “The SPHINX-II Speech Recognition System: An Overview”, Computer, Speech and Language, vol. 7, No. 2, 1993, 14 pages.
IBM, “Speech Editor”, IBM Technical Disclosure Bulletin, vol. 29, No. 10, Mar. 10, 1987, 3 pages.
Jabra, “Bluetooth Introduction”, 2004, 15 pages.
Jabra Corporation, “FreeSpeak: BT200 User Manual”, 2002, 42 pages.
Jaybird, “Everything Wrong with AIM: Because We've All Thought About It”, available at <http://www.psychonoble.com/archives/articles/82.html>, May 24, 2006, 3 pages.
Jeffay et al., “Kernel Support for Live Digital Audio and Video”, In Proc. of the Second Intl. Workshop on Network and Operating System Support for Digital Audio and Video, vol. 614, Nov. 1991, pp. 10-21.
Jelinek et al., “Interpolated Estimation of Markov Source Parameters from Sparse Data”, In Proceedings of the Workshop on Pattern Recognition in Practice,, May 1980, pp. 381-397.
Johnson, Jeff A., “A Comparison of User Interfaces for Panning on a Touch-Controlled Display”, CHI '95 Proceedings, 1995, 8 pages.
Kaeppner et al., “Architecture of HeiPhone: A Testbed for Audio/Video Teleconferencing”, IBM European Networking Center, 1993.
Kamba et al., “Using Small Screen Space More Efficiently”, CHI '96 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Apr. 13-18, 1996, pp. 383-390.
Kang et al., “Quality Improvement of LPC-Processed Noisy Speech by Using Spectral Subtraction”, IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 37, No. 6, Jun. 1989, pp. 939-942.
Keahey et al., “Non-Linear Image Magnification”, Apr. 24, 1996, 11 pages.
Keahey et al., “Nonlinear Magnification Fields”, Proceedings of the 1997 IEEE Symposium on Information Visualization, 1997, 12 pages.
Keahey et al., “Techniques for Non-Linear Magnification Transformations”, IEEE Proceedings of Symposium on Information Visualization, Oct. 1996, pp. 38-45.
Keahey et al., “Viewing Text With Non-Linear Magnification: An Experimental Study”, Department of Computer Science, Indiana University, Apr. 24, 1996, pp. 1-9.
Kennedy, P. J., “Digital Data Storage Using Video Disc”, IBM Technical Disclosure Bulletin, vol. 24, No. 2, Jul. 1981, p. 1171.
Kerr, “An Incremental String Search in C: This Data Matching Algorithm Narrows the Search Space with each Keystroke”, Computer Language, vol. 6, No. 12, Dec. 1989, pp. 35-39.
Abut et al., “Vector Quantization of Speech and Speech-Like Waveforms”, (IEEE Transactions on Acoustics, Speech, and Signal Processing, Jun. 1982), as reprinted in Vector Quantization (IEEE Press, 1990), 1990, pp. 258-270.
Kim, E.A. S., “The Structure and Processing of Fundamental Frequency Contours”, University of Cambridge, Doctoral Thesis, Apr. 1987, 378 pages.
Kirstein et al., “Piloting of Multimedia Integrated Communications for European Researchers”, Proc. INET '93, 1993, pp. 1-12.
Kjelldahl et al., “Multimedia—Principles, Systems, and Applications”, Proceedings of the 1991 Eurographics Workshop on Multimedia Systems, Applications, and Interaction, Apr. 1991.
Kline et al., “Improving GUI Accessibility for People with Low Vision”, CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, May 7-11, 1995, pp. 114-121.
Kline et al., “UnWindows 1.0: X Windows Tools for Low Vision Users”, ACM SIGCAPH Computers and the Physically Handicapped, No. 49, Mar. 1994, pp. 1-5.
Knight et al., “Heuristic Search”, Production Systems, Artificial Intelligence, 2nd ed., McGraw-Hill, Inc., 1983-1991.
Kroon et al., “Quantization Procedures for the Excitation in CELP Coders”, (Proceedings of IEEE International Acoustics, Speech, and Signal Processing Conference, Apr. 1987), as reprinted in Vector Quantization (IEEE Press, 1990), 1990, pp. 320-323.
Kuo et al., “A Radical-Partitioned coded Block Adaptive Neural Network Structure for Large-Volume Chinese Characters Recognition”, International Joint Conference on Neural Networks, vol. 3, Jun. 1992, pp. 597-601.
Kuo et al., “A Radical-Partitioned Neural Network System Using a Modified Sigmoid Function and a Weight-Dotted Radical Selector for Large-Volume Chinese Character Recognition VLSI”, IEEE Int. Symp. Circuits and Systems, Jun. 1994, pp. 3862-3865.
Kurlander et al., “Comic Chat”, [Online], 1996 [Retrieved on: Feb. 4, 2013], SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques, [Retrieved from: http://delivery.acm.org/10.1145/240000/237260/p225-kurlander.pdf], 1996, pp. 225-236.
Laface et al., “A Fast Segmental Viterbi Algorithm for Large Vocabulary Recognition”, International Conference on Acoustics, Speech, and Signal Processing, vol. 1, May 1995, pp. 560-563.
Lafferty et al., “Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data”, Proceedings of the 18th International Conference on Machine Learning, 2001, 9 pages.
Adium, “AboutAdium—Adium X—Trac”, available at <http://web.archive.org/web/20070819113247/http://trac.adiumx.com/wiki/AboutAdium>, retrieved on Nov. 25, 2011, 2 pages.
Lamping et al., “Laying Out and Visualizing Large Trees Using a Hyperbolic Space”, Proceedings of the ACM Symposium on User Interface Software and Technology, Nov. 1994, pp. 13-14.
Lamping et al., “Visualizing Large Trees Using the Hyperbolic Browser”, Apple Inc., Video Clip, MIT Media Library, on a CD, 1995.
Lantz et al., “Towards a Universal Directory Service”, Departments of Computer Science and Electrical Engineering, Stanford University, 1985, pp. 250-260.
Lantz, Keith, “An Experiment in Integrated Multimedia Conferencing”, 1986, pp. 267-275.
Lauwers et al., “Collaboration Awareness in Support of Collaboration Transparency: Requirements for the Next Generation of Shared Window Systems”, CHI'90 Proceedings, 1990, pp. 303-311.
Lauwers et al., “Replicated Architectures for Shared Window Systems: A Critique”, COCS '90 Proceedings of the ACM SIGOIS and IEEE CS TC-OA conference on Office information systems, ACM SIGOIS Bulletin, 1990, pp. 249-260.
Lazzaro, Joseph J., “Adapting Desktop Computers to Meet the Needs of Disabled Workers is Easier Than You Might Think”, Computers for the Disabled, BYTE Magazine, Jun. 1993, 4 pages.
Leahy et al., “Effect of Touch Screen Target Location on User Accuracy”, Proceedings of the Human Factors Society 34th Annual Meeting, 1990, 5 pages.
Lee, Kai-Fu, “Automatic Speech Recognition”, 1989, 14 pages (Table of Contents).
Leung et al., “A Review and Taxonomy of Distortion-Oriented Presentation Techniques”, ACM Transactions on Computer-Human Interaction (TOCHI), vol. 1, No. 2, Jun. 1994, pp. 126-160.
Levinson et al., “Speech synthesis in telecommunications”, IEEE Communications Magazine, vol. 31, No. 11, Nov. 1993, pp. 46-53.
Lewis, “Speech synthesis in a computer aided learning environment”, UK IT, Mar. 19-22, 1990, pp. 294-298.
Lewis, Peter, “Two New Ways to Buy Your Bits”, CNN Money, available at <http://money.cnn.com/2003/12/30/commentary/ontechnology/download/>,, Dec. 31, 2003, 4 pages.
Lieberman, Henry, “A Multi-Scale, Multi-Layer, Translucent Virtual Space”, Proceedings of IEEE Conference on Information Visualization, Aug. 1997, pp. 124-131.
Lieberman, Henry, “Powers of Ten Thousand: Navigating in Large Information Spaces”, Proceedings of the ACM Symposium on User Interface Software and Technology, Nov. 1994, pp. 1-2.
Lyon, R., “A Computational Model of Binaural Localization and Separation”, Proceedings of IEEE International Conference on Acoustics, Speech and Signal Processing, Apr. 1983, pp. 1148-1151.
Ahlberg et al., “The Alphaslider: A Compact and Rapid Selector”, CHI '94 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Apr. 1994, pp. 365-371.
Lyons, Richard F., “CCD Correlators for Auditory Models”, Proceedings of the Twenty-Fifth Asilomar Conference on Signals, Systems and Computers, Nov. 4-6, 1991, pp. 785-789.
Mackenzie et al., “Alphanumeric Entry on Pen-Based Computers”, International Journal of Human-Computer Studies, vol. 41, 1994, pp. 775-792.
Mackinlay et al., “The Perspective Wall: Detail and Context Smoothly Integrated”, ACM, 1991, pp. 173-179.
Ahlberg et al., “Visual Information Seeking: Tight Coupling of Dynamic Query Filters with Starfield Displays”, Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, Apr. 24-28, 1994, pp. 313-317.
Mactech, “KeyStrokes 3.5 for Mac OS X Boosts Word Prediction”, available at <http://www.mactech.com/news/?p=1007129>, retrieved on Jan. 7, 2008, 3 pages.
Mahedero et al., “Natural Language Processing of Lyrics”, In Proceedings of the 13th Annual ACM International Conference on Multimedia, ACM, Nov. 6-11, 2005, 4 pages.
Marcus et al., “Building a Large Annotated Corpus of English: The Penn Treebank”, Computational Linguistics, vol. 19, No. 2, 1993, pp. 313-330.
Markel et al., “Linear Production of Speech”, Reviews, 1976, pp. xii, 288.
Masui, Toshiyuki, “POBox: An Efficient Text Input Method for Handheld and Ubiquitous Computers”, Proceedings of the 1st International Symposium on Handheld and Ubiquitous Computing, 1999, 12 pages.
Matsui et al., “Speaker Adaptation of Tied-Mixture-Based Phoneme Models for Text-Prompted Speaker Recognition”, 1994 IEEE International Conference on Acoustics, Speech and Signal Processing, Apr. 19-22, 1994, 1-125-1-128.
Matsuzawa, A, “Low-Voltage and Low-Power Circuit Design for Mixed Analog/Digital Systems in Portable Equipment”, IEEE Journal of Solid-State Circuits, vol. 29, No. 4, 1994, pp. 470-480.
Mellinger, David K., “Feature-Map Methods for Extracting Sound Frequency Modulation”, IEEE Computer Society Press, 1991, pp. 795-799.
Menico, Costas, “Faster String Searches”, Dr. Dobb's Journal, vol. 14, No. 7, Jul. 1989, pp. 74-77.
Menta, Richard, “1200 Song MP3 Portable is a Milestone Player”, available at <http://www.mp3newswire.net/stories/personaljuke.html>, Jan. 11, 2000, 4 pages.
Meyer, Mike, “A Shell for Modern Personal Computers”, University of California, Aug. 1987, pp. 13-19.
Meyrowitz et al., “Bruwin: An Adaptable Design Strategy for Window Manager/Virtual Terminal Systems”, Department of Computer Science, Brown University, 1981, pp. 180-189.
Miastkowski, Stan, “paperWorks Makes Paper Intelligent”, Byte Magazine, Jun. 1992.
Microsoft, “Turn on and Use Magnifier”, available at <http://www.microsoft.com/windowsxp/using/accessibility/magnifierturnon.mspx>, retrieved on Jun. 6, 2009.
Microsoft Corporation, Microsoft Office Word 2003 (SP2), Microsoft Corporation, SP3 as of 2005, pp. MSWord 2003 Figures 1-5, 1983-2003.
Microsoft Corporation, “Microsoft MS-DOS Operating System User's Guide”, Microsoft Corporation, 1982, pp. 4-1 to 4-16, 5-1 to 5-19.
Microsoft Press, “Microsoft Windows User's Guide for the Windows Graphical Environment”, version 3.0, 1985-1990, pp. 33-41 & 70-74.
Microsoft Windows XP, “Magnifier Utility”, Oct. 25, 2001, 2 pages.
Microsoft Word 2000 Microsoft Corporation, pp. MSWord Figures 1-5, 1999.
Microsoft/Ford, “Basic Sync Commands”, www.SyncMyRide.com, Sep. 14, 2007, 1 page.
Milner, N. P., “A Review of Human Performance and Preferences with Different Input Devices to Computer Systems”, Proceedings of the Fourth Conference of the British Computer Society on People and Computers, Sep. 5-9, 1988, pp. 341-352.
Miniman, Jared, “Applian Software's Replay Radio and Player v1.02”, pocketnow.com—Review, available at <http://www.pocketnow.com/reviews/replay/replay.htm>, Jul. 31, 2001, 16 pages.
Moberg et al., “Cross-Lingual Phoneme Mapping for Multilingual Synthesis Systems”, Proceedings of the 8th International Conference on Spoken Language Processing, Jeju Island, Korea, Interspeech 2004, Oct. 4-8, 2004, 4 pages.
Moberg, M., “Contributions to Multilingual Low-Footprint TTS System for Hand-Held Devices”, Doctoral Thesis, Tampere University of Technology, Aug. 17, 2007, 82 pages.
Mobile Tech News, “T9 Text Input Software Updated”, available at <http://www.mobiletechnews.com/info/2004/11/23/122155.html>, Nov. 23, 2004, 4 pages.
Mok et al., “Media Searching on Mobile Devices”, IEEE EIT 2007 Proceedings, 2007, pp. 126-129.
Morland, D. V., “Human Factors Guidelines for Terminal Interface Design”, Communications ofthe ACM vol. 26, No. 7, Jul. 1983, pp. 484-494.
Morris et al., “Andrew: A Distributed Personal Computing Environment”, Communications of the ACM, (Mar. 1986); vol. 29 No. 3,, Mar. 1986, pp. 184-201.
Muller et al., “CSCW'92 Demonstrations”, 1992, pp. 11-14.
Musicmatch, “Musicmatch and Xing Technology Introduce Musicmatch Jukebox”, Press Releases, available at <http://www.musicmatch.com/info/company/press/releases/?year= 1998&release=2>, May 18, 1998, 2 pages.
Muthesamy et al., “Speaker-Independent Vowel Recognition: Spectograms versus Cochleagrams”, IEEE, Apr. 1990.
My Cool Aids, “What's New”, available at <http://www.mycoolaids.com/>, 2012, 1 page.
Myers, Brad A., “Shortcutter for Palm”, available at <http://www.cs.cmu.edu/-pebbles/v5/shortcutter/palm/index.html>, retrieved on Jun. 18, 2014, 10 pages.
Nadoli et al., “Intelligent Agents in the Simulation of Manufacturing Systems”, Proceedings of the SCS Multiconference on AL and Simulation, 1989, 1 page.
Nakagawa et al., “Unknown Word Guessing and Part-of-Speech Tagging Using Support Vector Machines”, Proceedings of the 6th NLPRS, 2001, pp. 325-331.
Ahlstrom et al., “Overcoming Touchscreen User Fatigue by Workplace Design”, CHI '92 Posters and Short Talks of the 1992 SIGCHI Conference on Human Factors in Computing Systems, 1992, pp. 101-102.
NCIP, “NCIP Library: Word Prediction Collection”, available at <http://www2.edc.org/ncip/library/wp/toc.htm>, 1998, 4 pages.
NCIP, “What is Word Prediction?”, available at <http://www2.edc.org/NCIP/library/wp/what_is.htm>, 1998, 2 pages.
NCIP Staff, “Magnification Technology”, available at <http://www2.edc.org/ncip/library/vi/magnifi.htm>, 1994, 6 pages.
Newton, Harry, “Newton's Telecom Dictionary”, Mar. 1998, pp. 62, 155, 610-611, 771.
Nguyen et al., “Generic Manager for Spoken Dialogue Systems”, In DiaBruck: 7th Workshop on the Semantics and Pragmatics of Dialogue, Proceedings, 2003, 2 pages.
Nilsson, B. A., “Microsoft Publisher is an Honorable Start for DTP Beginners”, Computer Shopper, Feb. 1, 1992, 2 pages.
Noik, Emanuel G., “Layout-Independent Fisheye Views of Nested Graphs”, IEEE Proceedings of Symposium on Visual Languages, 1993, 6 pages.
Nonhoff-Arps et al., “StraBenmusik: Portable MP3-Spieler mit USB Anschluss”, CT Magazin Fuer Computer Technik, Verlag Heinz Heise GMBH, Hannover DE, No. 25, 2000, pp. 166-175.
Northern Telecom, “Meridian Mail PC User Guide”, 1988, 17 Pages.
Notenboom, Leo A., “Can I Retrieve Old MSN Messenger Conversations?”, available at <http://ask-leo.com/can_i_retrieve_old_msn_messenger_conversations.html>, Mar. 11, 2004, 23 pages.
O'Connor, Rory J., “Apple Banking on Newton's Brain”, San Jose Mercury News, Apr. 22, 1991.
Ohsawa et al., “A computational Model of an Intelligent Agent Who Talks with a Person”, Research Reports on Information Sciences, Series C, No. 92, Apr. 1989, pp. 1-18.
Ohtomo et al., “Two-Stage Recognition Method of Hand-Written Chinese Characters Using an Integrated Neural Network Model”, Denshi Joohoo Tsuushin Gakkai Ronbunshi, D-II, vol. J74, Feb. 1991, pp. 158-165.
Okazaki et al., “Multi-Fisheye Transformation Method for Large-Scale Network Maps”, IEEE Japan, vol. 44, No. 6, 1995, pp. 495-500.
Pearl, Amy, “System Support for Integrated Desktop Video Conferencing”, Sunmicrosystems Laboratories, Dec. 1992, pp. 1-15.
Penn et al., “Ale for Speech: A Translation Prototype”, Bell Laboratories, 1999, 4 pages.
Phillipps, Ben, “Touchscreens are Changing the Face of Computers—Today's Users Have Five Types of Touchscreens to Choose from, Each with its Own Unique Characteristics”, Electronic Products, Nov. 1994, pp. 63-70.
Phillips, Dick, “The Multi-Media Workstation”, SIGGRAPH '89 Panel Proceedings, 1989, pp. 93-109.
Pickering, J. A., “Touch-Sensitive Screens: The Technologies and Their Application”, International Journal of Man-Machine Studies, vol. 25, No. 3, Sep. 1986, pp. 249-269.
Pingali et al., “Audio-Visual Tracking for Natural Interactivity”, ACM Multimedia, Oct. 1999, pp. 373-382.
Plaisant et al., “Touchscreen Interfaces for Alphanumeric Data Entry”, Proceedings of the Human Factors and Ergonomics Society 36th Annual Meeting, 1992, pp. 293-297.
Plaisant et al., “Touchscreen Toggle Design”, CHI'92, May 3-7, 1992, pp. 667-668.
Poly-Optical Products, Inc., “Poly-Optical Fiber Optic Membrane Switch Backlighting”, available at <http://www.poly-optical.com/membrane_switches.html>, retrieved on Dec. 19, 2002, 3 pages.
Poor, Alfred, “Microsoft Publisher”, PC Magazine, vol. 10, No. 20, Nov. 26, 1991, 1 page.
Potter et al., “An Experimental Evaluation of Three Touch Screen Strategies within a Hypertext Database”, International Journal of Human-Computer Interaction, vol. 1, No. 1, 1989, pp. 41-52.
Potter et al., “Improving the Accuracy of Touch Screens: An Experimental Evaluation of Three Strategies”, CHI '88 ACM, 1988, pp. 27-32.
Public Safety Technologies, “Tracer 2000 Computer”, available at <http://www.pst911.com/tracer.html>, retrieved on Dec. 19, 2002, 3 pages.
Apple Computer, Inc., “Apple Announces iTunes 2”, Press Release, Oct. 23, 2001, 2 pages.
Rabiner et al., “Digital Processing of Speech Signals”, Prentice Hall, 1978, pp. 274-277.
Rampe et al., “SmartForm Designer and SmartForm Assistant”, News release, Claris Corp., Jan. 9, 1989, 1 page.
Rao et al., “Exploring Large Tables with the Table Lens”, Apple Inc., Video Clip, Xerox Corp., on a CD, 1994.
Rao et al., “Exploring Large Tables with the Table Lens”, CHI'95 Mosaic of Creativity, ACM, May 7-11, 1995, pp. 403-404.
Rao et al., “The Table Lens: Merging Graphical and Symbolic Representations in an Interactive Focus+Context Visualization for Tabular Information”, Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems, Apr. 1994, pp. 1-7.
Raper, Larry K. ,“The C-MU PC Server Project”, (CMU-ITC-86-051), Dec. 1986, pp. 1-30.
Ratcliffe et al., “Intelligent Agents Take U.S. Bows”, MacWeek, vol. 6, No. 9, Mar. 2, 1992, 1 page.
Reddy, D. R., “Speech Recognition by Machine: A Review”, Proceedings of the IEEE, Apr. 1976, pp. 501-531.
Reininger et al., “Speech and Speaker Independent Codebook Design in VQ Coding Schemes”, (Proceedings of the IEEE International Acoustics, Speech and Signal Processing Conference, Mar. 1985), as reprinted in Vector Quantization (IEEE Press, 1990), 1990, pp. 271-273.
Ren et al., “Efficient Strategies for Selecting Small Targets on Pen-Based Systems: An Evaluation Experiment for Selection Strategies and Strategy Classifications”, Proceedings of the IFIP TC2/TC13 WG2.7/WG13.4 Seventh Working Conference on Engineering for Human-Computer Interaction, vol. 150, 1998, pp. 19-37.
Ren et al., “Improving Selection Performance on Pen-Based Systems: A Study of Pen-Based Interaction for Selection Tasks”, ACM Transactions on Computer-Human Interaction, vol. 7, No. 3, Sep. 2000, pp. 384-416.
Ren et al., “The Best among Six Strategies for Selecting a Minute Target and the Determination of the Minute Maximum Size of the Targets on a Pen-Based Computer”, Human-Computer Interaction INTERACT, 1997, pp. 85-92.
Apple Computer, Inc., “Apple Introduces iTunes—World's Best and Easiest to Use Jukebox Software”, Macworld Expo, Jan. 9, 2001, 2 pages.
Riecken, R D., “Adaptive Direct Manipulation”, IEEE Xplore, 1991, pp. 1115-1120.
Rioport, “Rio 500: Getting Started Guide”, available at <http://ec1.images-amazon.com/media/i3d/01/A/man-migrate/MANUAL000023453.pdf>, 1999, 2 pages.
Robbin et al., “MP3 Player and Encoder for Macintosh!”, SoundJam MP Plus, Version 2.0, 2000, 76 pages.
Robertson et al., “Information Visualization Using 3D Interactive Animation”, Communications of the ACM, vol. 36, No. 4, Apr. 1993, pp. 57-71.
Robertson et al., “The Document Lens”, UIST '93, Nov. 3-5, 1993, pp. 101-108.
Root, Robert, “Design of a Multi-Media Vehicle for Social Browsing”, Bell Communications Research, 1988, pp. 25-38.
Roseberry, Catherine, “How to Pair a Bluetooth Headset & Cell Phone”, available at <http://mobileoffice.about.com/od/usingyourphone/ht/blueheadset_p.htm>, retrieved on Apr. 29, 2006, 2 pages.
Rosenberg et al., “An Overview of the Andrew Message System”, Information Technology Center Carnegie-Mellon University, Jul. 1987, pp. 99-108.
Rosner et al., “In Touch: A Graphical User Interface Development Tool”, IEEE Colloquium on Software Tools for Interface Design, Nov. 8, 1990, pp. 12/1-12/7.
Rossfrank, “Konstenlose Sprachmitteilungins Festnetz”, XP002234425, Dec. 10, 2000, pp. 1-4.
Roucos et al., “A Segment Vocoder at 150 B/S”, (Proceedings of the IEEE International Acoustics, Speech and Signal Processing Conference, Apr. 1983), as reprinted in Vector Quantization (IEEE Press, 1990), 1990, pp. 246-249.
Roucos et al., “High Quality Time-Scale Modification for Speech”, Proceedings of the 1985 IEEE Conference on Acoustics, Speech and Signal Processing, 1985, pp. 493-496.
Sabin et al., “Product Code Vector Quantizers for Waveform and Voice Coding”, (IEEE Transactions on Acoustics, Speech and Signal Processing, Jun. 1984), as reprinted in Vector Quantization (IEEE Press, 1990), 1990, pp. 274-288.
Apple Computer, Inc., “Apple's iPod Available in Stores Tomorrow”, Press Release, Nov. 9, 2001, 1 page.
Santen, Jan P., “Assignment of Segmental Duration in Text-to-Speech Synthesis”, Computer Speech and Language, vol. 8, No. 2, Apr. 1994, pp. 95-128.
Sarawagi, Sunita, “CRF Package Page”, available at <http://crf.sourceforge.net/>, retrieved on Apr. 6, 2011, 2 pages.
Sarkar et al., “Graphical Fisheye Views”, Communications of the ACM, vol. 37, No. 12, Dec. 1994, pp. 73-83.
Sarkar et al., “Graphical Fisheye Views of Graphs”, Systems Research Center, Digital Equipment Corporation,, Mar. 17, 1992, 31 pages.
Sarkar et al., “Graphical Fisheye Views of Graphs”, CHI '92 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, May 3-7, 1992, pp. 83-91.
Sarkar et al., “Stretching the Rubber Sheet: A Metaphor for Viewing Large Layouts on Small Screens”, UIST'93, ACM, Nov. 3-5, 1993, pp. 81-91.
Sastry, Ravindra W., “A Need for Speed: A New Speedometer for Runners”, submitted to the Department of Electrical Engineering and Computer Science at the Massachusetts Institute of Technology, 1999, pp. 1-42.
Schafer et al., “Digital Representations of Speech Signals”, Proceedings of the IEEE, vol. 63, No. 4, Apr. 1975, pp. 662-677.
Schaffer et al., “Navigating Hierarchically Clustered Networks through Fisheye and Full-Zoom Methods”, ACM Transactions on Computer-Human Interaction, vol. 3, No. 2, Jun. 1996, pp. 162-188.
Decker et al., “Designing Behaviors for Information Agents”, The Robotics Institute, Carnegie-Mellon University, Paper, Jul. 1996, 15 pages.
Decker et al., “Matchmaking and Brokering”, The Robotics Institute, Carnegie-Mellon University, Paper, May 1996, 19 pages.
Deerwester et al., “Indexing by Latent Semantic Analysis”, Journal of the American Society for Information Science, vol. 41, No. 6, Sep. 1990, 19 pages.
Deller, Jr. et al., “Discrete-Time Processing of Speech Signals”, Prentice Hall, ISBN: 0-02-328301-7, 1987, 14 pages.
Digital Equipment Corporation, “Open VMS Software Overview”, Software Manual, Dec. 1995, 159 pages.
Domingue et al., “Web Service Modeling Ontology (WSMO)—An Ontology for Semantic Web Services”, Position Paper at the W3C Workshop on Frameworks for Semantics in Web Services, Innsbruck, Austria, Jun. 2005, 6 pages.
Donovan, R. E., “A New Distance Measure for Costing Spectral Discontinuities in Concatenative Speech Synthesisers”, available at <http://citeseerx.ist.osu.edu/viewdoc/summarv?doi=1 0.1.1.21.6398>, 2001, 4 pages.
Dowding et al., “Gemini: A Natural Language System for Spoken-Language Understanding”, Proceedings of the Thirty-First Annual Meeting of the Association for Computational Linguistics, 1993, 8 pages.
Dowding et al., “Interleaving Syntax and Semantics in an Efficient Bottom-Up Parser”, Proceedings of the 32nd Annual Meeting of the Association for Computational Linguistics, 1994, 7 pages.
Elio et al., “On Abstract Task Models and Conversation Policies”, Proc. Workshop on Specifying and Implementing Conversation Policies, Autonomous Agents'99 Conference, 1999, pp. 1-10.
Epstein et al., “Natural Language Access to a Melanoma Data Base”, SRI International, Sep. 1978, 7 pages.
Ericsson et al., “Software Illustrating a Unified Approach to Multimodality and Multilinguality in the In-Home Domain”, Talk and Look: Tools for Ambient Linguistic Knowledge, Dec. 2006, 127 pages.
Evi, “Meet Evi: The One Mobile Application that Provides Solutions for your Everyday Problems”, Feb. 2012, 3 pages.
Exhibit 1, “Natural Language Interface Using Constrained Intermediate Dictionary of Results”, List of Publications Manually Reviewed for the Search of U.S. Pat. No. 7,177,798, Mar. 22, 2013, 1 page.
Feigenbaum et al., “Computer-Assisted Semantic Annotation of Scientific Life Works”, Oct. 15, 2007, 22 pages.
Ferguson et al., “TRIPS: An Integrated Intelligent Problem-Solving Assistant”, Proceedings of the Fifteenth National Conference on Artificial Intelligence (AAAI-98) and Tenth Conference on Innovative Applications of Artificial Intelligence (IAAI-98), 1998, 7 pages.
Fikes et al., “A Network-Based Knowledge Representation and its Natural Deduction System”, SRI International, Jul. 1977, 43 pages.
Frisse, M. E., “Searching for Information in a Hypertext Medical Handbook”, Communications of the ACM, vol. 31, No. 7, Jul. 1988, 8 pages.
Gamback et al., “The Swedish Core Language Engine”, NOTEX Conference, 1992, 17 pages.
Gannes, Liz, “Alfred App Gives Personalized Restaurant Recommendations”, AllThingsD, Jul. 18, 2011, pp. 1-3.
Gautier et al., “Generating Explanations of Device Behavior Using Compositional Modeling and Causal Ordering”, CiteSeerx, 1993, pp. 89-97.
Gervasio et al., “Active Preference Learning for Personalized Calendar Scheduling Assistance”, CiteSeerx, Proceedings of IUI'05, Jan. 2005, pp. 90-97.
Glass, Alyssa, “Explaining Preference Learning”, CiteSeerx, 2006, pp. 1-5.
Glass et al., “Multilingual Language Generation Across Multiple Domains”, International Conference on Spoken Language Processing, Japan, Sep. 1994, 5 pages.
Glass et al., “Multilingual Spoken-Language Understanding in the Mit Voyager System”, Available online at <http://groups.csail.mit.edu/sls/publications/1995/speechcomm95-voyager.pdf>, Aug. 1995, 29 pages.
Goddeau et al., “A Form-Based Dialogue Manager for Spoken Language Applications”, Available online at <http://phasedance.com/pdflicslp96.pdf>, Oct. 1996, 4 pages.
Goddeau et al., “Galaxy: A Human-Language Interface to On-Line Travel Information”, International Conference on Spoken Language Processing, Yokohama, 1994, pp. 707-710.
Goldberg et al., “Using Collaborative Filtering to Weave an Information Tapestry”, Communications of the ACM, vol. 35, No. 12, Dec. 1992, 10 pages.
Gong et al., “Guidelines for Handheld Mobile Device Interface Design”, Proceedings of DSI 2004 Annual Meeting, 2004, pp. 3751-3756.
Gorin et al., “On Adaptive Acquisition of Language”, International Conference on Acoustics, Speech and Signal Processing (ICASSP'90), vol. 1, Apr. 1990, 5 pages.
Gotoh et al., “Document Space Models Using Latent Semantic Analysis”, In Proceedings of Eurospeech, 1997, 4 pages.
Gray, R. M., “Vector Quantization”, IEEE ASSP Magazine, Apr. 1984, 26 pages.
Green, C., “The Application of Theorem Proving to Question-Answering Systems”, SRI Stanford Research Institute, Artificial Intelligence Group, Jun. 1969, 169 pages.
Gregg et al., “DSS Access on the WWW: An Intelligent Agent Prototype”, Proceedings of the Americas Conference on Information Systems, Association for Information Systems, 1998, 3 pages.
Grishman et al., “Computational Linguistics: An Introduction”, Cambridge University Press, 1986, 172 pages.
Grosz et al., “Dialogic: A Core Natural-Language Processing System”, SRI International, Nov. 1982, 17 pages.
Grosz et al., “Research on Natural-Language Processing at SRI”, SRI International, Nov. 1981, 21 pages.
Grosz, B., “Team: A Transportable Natural-Language Interface System”, Proceedings of the First Conference on Applied Natural Language Processing, 1983, 7 pages.
Grosz et al., “TEAM: An Experiment in the Design of Transportable Natural-Language Interfaces”, Artificial Intelligence, vol. 32, 1987, 71 pages.
Gruber, Tom, “(Avoiding) the Travesty of the Commons”, Presentation at NPUC, New Paradigms for User Computing, IBM Almaden Research Center, Jul. 24, 2006, 52 pages.
Gruber, Thomas R., “A Translation Approach to Portable Ontology Specifications”, Knowledge Systems Laboratory, Technical Report KSL 92-71, Sep. 1992, Revised Apr. 1993, pp. 1-27.
Gruber et al., “An Ontology for Engineering Mathematics”, Fourth International Conference on Principles of Knowledge Representation and Reasoning, Available online at <http://www-ksl.stanford.edu/knowledge-sharing/papers/engmath.html>, 1994, pp. 1-22.
Gruber, Thomas R., “Automated Knowledge Acquisition for Strategic Knowledge”, Machine Learning, vol. 4, 1989, pp. 293-336.
Gruber, Tom, “Big Think Small Screen: How Semantic Computing in the Cloud will Revolutionize the Consumer Experience on the Phone”, Keynote Presentation at Web 3.0 Conference, Jan. 2010, 41 pages.
Gruber et al., “Generative Design Rationale: Beyond the Record and Replay Paradigm”, Knowledge Systems Laboratory, Technical Report KSL 92-59, Dec. 1991, Updated Feb. 1993, 24 pages.
Gruber, Thomas R., “Interactive Acquisition of Justifications: Learning “Why” by Being Told “What””, Knowledge Systems Laboratory, Technical Report KSL 91-17, Original Oct. 1990, Revised Feb. 1991, 24 pages.
Gruber et al., “Machine-Generated Explanations of Engineering Models: A Compositional Modeling Approach”, Proceedings of International Joint Conference on Artificial Intelligence, 1993, 7 pages.
Gruber et al., “NIKE: A National Infrastructure for Knowledge Exchange”, A Whitepaper Advocating and ATP Initiative on Technologies for Lifelong Learning, Oct. 1994, pp. 1-10.
Gruber et al., “Toward a Knowledge Medium for Collaborative Product Development”, Proceedings of the Second International Conference on Artificial Intelligence in Design, Jun. 1992, pp. 1-19.
Gruber, Thomas R., “Toward Principles for the Design of Ontologies used for Knowledge Sharing?”, International Journal of Human-Computer Studies, vol. 43, No. 5-6, Nov. 1995, pp. 907-928.
Scheifler, R. W., “The X Window System”, MIT Laboratory for Computer Science and Gettys, Jim Digital Equipment Corporation and MIT Project Athena; ACM Transactions on Graphics, vol. 5, No. 2, Apr. 1986, pp. 79-109.
Schluter et al., “Using Phase Spectrum Information for Improved Speech Recognition Performance”, IEEE International Conference on Acoustics, Speech, and Signal Processing, 2001, pp. 133-136.
Schmandt et al., “A Conversational Telephone Messaging System”, IEEE Transactions on Consumer Electronics, vol. CE-30, Aug. 1984, pp. xxi-xxiv.
Schmandt et al., “Phone Slave: A Graphical Telecommunications Interface”, Society for Information Display, International Symposium Digest of Technical Papers, Jun. 1984, 4 pages.
Schmandt et al., “Phone Slave: A Graphical Telecommunications Interface”, Proceedings of the SID, vol. 26, No. 1, 1985, pp. 79-82.
Schmid, H., “Part-of-speech tagging with neural networks”, COLING '94 Proceedings of the 15th conference on Computational linguistics—vol. 1, 1994, pp. 172-176.
Schooler et al., “A Packet-switched Multimedia Conferencing System”, by Eve Schooler, et al; ACM SIGOIS Bulletin, vol. I, No. 1, Jan. 1989, pp. 12-22.
Schooler et al., “An Architecture for Multimedia Connection Management”, Proceedings IEEE 4th Comsoc International Workshop on Multimedia Communications, Apr. 1992, pp. 271-274.
Schooler et al., “Multimedia Conferencing: Has it Come of Age?”, Proceedings 24th Hawaii International Conference on System Sciences, vol. 3, Jan. 1991, pp. 707-716.
Schooler et al., “The Connection Control Protocol: Architecture Overview”, USC/Information Sciences Institute, Jan. 28, 1992, pp. 1-6.
Schooler, Eve, “A Distributed Architecture for Multimedia Conference Control”, ISI Research Report, Nov. 1991, pp. 1-18.
Schooler, Eve M., “Case Study: Multimedia Conference Control in a Packet-Switched Teleconferencing System”, Journal of Internetworking: Research and Experience, vol. 4, No. 2, Jun. 1993, pp. 99-120.
Schooler, Eve M., “The Impact of Scaling on a Multimedia Connection Architecture”, Multimedia Systems, vol. 1, No. 1, 1993, pp. 2-9.
Schütze, H., “Distributional part-of-speech tagging”, EACL '95 Proceedings of the seventh conference on European chapter of the Association for Computational Linguistics, 1995, pp. 141-148.
Schütze, Hinrich, “Part-of-speech induction from scratch”, ACL '93 Proceedings of the 31st annual meeting on Association for Computational Linguistics, 1993, pp. 251-258.
Schwartz et al., “Context-Dependent Modeling for Acoustic-Phonetic Recognition of Continuous Speech”, IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 10, Apr. 1985, pp. 1205-1208.
Schwartz et al., “Improved Hidden Markov Modeling of Phonemes for Continuous Speech Recognition”, IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 9, 1984, pp. 21-24.
Schwartz et al., “The N-Best Algorithm: An Efficient and Exact Procedure for Finding the N Most Likely Sentence Hypotheses”, IEEE, 1990, pp. 81-84.
Scott et al., “Designing Touch Screen Numeric Keypads: Effects of Finger Size, Key Size, and Key Spacing”, Proceedings of the Human Factors and Ergonomics Society 41st Annual Meeting, Oct. 1997, pp. 360-364.
Seagrave, Jim, “A Faster Way to Search Text”, EXE, vol. 5, No. 3, Aug. 1990, pp. 50-52.
Sears et al., “High Precision Touchscreens: Design Strategies and Comparisons with a Mouse”, International Journal of Man-Machine Studies, vol. 34, No. 4, Apr. 1991, pp. 593-613.
Sears et al., “Investigating Touchscreen Typing: The Effect of Keyboard Size on Typing Speed”, Behavior & Information Technology, vol. 12, No. 1, 1993, pp. 17-22.
Sears et al., “Touchscreen Keyboards”, Apple Inc., Video Clip, Human-Computer Interaction Laboratory, on a CD, Apr. 1991.
Seide et al., “Improving Speech Understanding by Incorporating Database Constraints and Dialogue History”, Proceedings of Fourth International Conference on Philadelphia,, 1996, pp. 1017-1020.
Shiraki et al., “LPC Speech Coding Based on Variable-Length Segment Quantization”, (IEEE Transactions on Acoustics, Speech and Signal Processing, Sep. 1988), as reprinted in Vector Quantization (IEEE Press, 1990), 1990, pp. 250-257.
Shneiderman, Ben, “Designing the User Interface: Strategies for Effective Human-Computer Interaction”, Second Edition, 1992, 599 pages.
Shneiderman, Ben, “Designing the User Interface: Strategies for Effective Human-Computer Interaction”, Third Edition, 1998, 669 pages.
Shneiderman, Ben, “Direct Manipulation for Comprehensible, Predictable and Controllable User Interfaces”, Proceedings of the 2nd International Conference on Intelligent User Interfaces, 1997, pp. 33-39.
Shneiderman, Ben, “Sparks of Innovation in Human-Computer Interaction”, 1993, (Table of Contents, Title Page, Ch. 4, Ch. 6 and List of References).
Shneiderman, Ben, “The Eyes Have It: A Task by Data Type Taxonomy for Information Visualizations”, IEEE Proceedings of Symposium on Visual Languages, 1996, pp. 336-343.
Shneiderman, Ben, “Touch Screens Now Offer Compelling Uses”, IEEE Software, Mar. 1991, pp. 93-94.
Shoham et al., “Efficient Bit and Allocation for an Arbitrary Set of Quantizers”, (IEEE Transactions on Acoustics, Speech, and Signal Processing, Sep. 1988) as reprinted in Vector Quantization (IEEE Press, 1990), 1990, pp. 289-296.
Simkovitz, Daniel, “LP-DOS Magnifies the PC Screen”, IEEE, 1992, pp. 203-204.
Singh et al., “Automatic Generation of Phone Sets and Lexical Transcriptions”, Acoustics, Speech and Signal Processing (ICASSP'00), 2000, 1 page.
Sinitsyn, Alexander, “A Synchronization Framework for Personal Mobile Servers”, Proceedings of the Second IEEE Annual Conference on Pervasive Computing and Communications Workshops, Piscataway, 2004, pp. 1, 3 and 5.
Slaney et al., “On the Importance of Time—A Temporal Representation of Sound”, Visual Representation of Speech Signals, 1993, pp. 95-116.
Smeaton, Alan F., “Natural Language Processing and Information Retrieval”, Information Processing and Management, vol. 26, No. 1, 1990, pp. 19-20.
Smith et al., “Guidelines for Designing User Interface Software”, User Lab, Inc., Aug. 1986, pp. 1-384.
Smith et al., “Relating Distortion to Performance in Distortion Oriented Displays”, Proceedings of Sixth Australian Conference on Computer-Human Interaction, Nov. 1996, pp. 6-11.
Sony Eiicsson Corporate, “Sony Ericsson to introduce Auto pairing.TM. to Improve Bluetooth.TM. Connectivity Between Headsets and Phones”, Press Release, available at <http://www.sonyericsson.com/spg.jsp?cc=global&lc=en&ver=4001&template=pc3_1_ 1&z . . . >, Sep. 28, 2005, 2 pages.
Soong et al., “A High Quality Subband Speech Coder with Backward Adaptive Predictor and Optimal Time-Frequency Bit Assignment”, (Proceedings of the IEEE International Acoustics, Speech, and Signal Processing Conference, Apr. 1986), as reprinted in Vector Quantization (IEEE Press, 1990), 1990, pp. 316-319.
Spiller, Karen, “Low-Decibel Earbuds Keep Noise at a Reasonable Level”, available at <http://www.nashuatelegraph.com/apps/pbcs.dll/article?Date=20060813&Cate . . . >, Aug. 13, 2006, 3 pages.
Apple Computer, Inc., “Inside Macintosh”, vol. VI, 1985.
Srinivas et al., “Monet: A Multi-Media System for Conferencing and Application Sharing in Distributed Systems”, CERC Technical Report Series Research Note, Feb. 1992.
Stealth Computer Corporation, “Peripherals for Industrial Keyboards & Pointing Devices”, available at <http://www.stealthcomputer.com/peripherals_oeem.htm>, retrieved on Dec. 19, 2002, 6 pages.
Steinberg, Gene, “Sonicblue Rio Car (10 GB, Reviewed: 6 GB)”, available at <http://electronics.cnet.com/electronics/0-6342420-1304-4098389.html>, Dec. 12, 2000, 2 pages.
Stent et al., “Geo-Centric Language Models for Local Business Voice Search”, AT&T Labs—Research, 2009, pp. 389-396.
Stone et al., “The Movable Filter as a User Interface Tool”, CHI '94 Human Factors in Computing Systems, 1994, pp. 306-312.
Su et al., “A Review of ZoomText Xtra Screen Magnification Program for Windows 95”, Journal of Visual Impairment & Blindness, Feb. 1998, pp. 116-119.
Su, Joseph C., “A Review of Telesensory's Vista PCI Screen Magnification System”, Journal of Visual Impairment & Blindness, Oct. 1998, pp. 705, 707-710.
Sullivan, Danny, “How Google Instant's Autocomplete Suggestions Work”, available at <http://searchengineland.com/how-google-instant-autocomplete-suggestions-work-62592>, Apr. 6, 2011, 12 pages.
Summerfield et al., “ASIC Implementation of the Lyon Cochlea Model”, Proceedings of the 1992 International Conference on Acoustics, Speech and Signal Processing, IEEE, vol. V, 1992, pp. 673-676.
T3 Magazine, “Creative MuVo TX 256MB”, available at <http://www.t3.co.uk/reviews/entertainment/mp3_player/creative_muvo_tx_256mb>, Aug. 17, 2004, 1 page.
TAOS, “TAOS, Inc. Announces Industry's First Ambient Light Sensor to Convert Light Intensity to Digital Signals”, News Release, available at <http://www.taosinc.com/presssrelease_090902.htm>, Sep. 16, 2002, 3 pages.
Apple Computer, Inc., “iTunes 2, Playlist Related Help Screens”, iTunes v2.0, 2000-2001, 8 pages.
Tello, Ernest R., “Natural-Language Systems”, Mastering AI Tools and Techniques, Howard W. Sams & Company, 1988.
TG3 Electronics, Inc., “BL82 Series Backlit Keyboards”, available at <http://www.tg3electronics.com/products/backlit/backlit.htm>, retrieved on Dec. 19, 2002, 2 pages.
The HP 150, “Hardware: Compact, Powerful, and Innovative”, vol. 8, No. 10, Oct. 1983, pp. 36-50.
Tidwell, Jenifer, “Animated Transition”, Designing Interfaces, Patterns for effective Interaction Design, Nov. 2005, First Edition, 4 pages.
Touch, Joseph, “Zoned Analog Personal Teleconferencing”, USC / Information Sciences Institute, 1993, pp. 1-19.
Toutanova et al., “Feature-Rich Part-of-Speech Tagging with a Cyclic Dependency Network”, Computer Science Dept., Stanford University, Stanford CA 94305-9040, 2003, 8 pages.
Trigg et al., “Hypertext Habitats: Experiences of Writers in NoteCards”, Hypertext '87 Papers; Intelligent Systems Laboratory, Xerox Palo Alto Research Center, 1987, pp. 89-108.
Trowbridge, David, “Using Andrew for Development of Educational Applications”, Center for Design of Educational Computing, Carnegie-Mellon University (CMU-ITC-85-065), Jun. 2, 1985, pp. 1-6.
Tsao et al., “Matrix Quantizer Design for LPC Speech Using the Generalized Lloyd Algorithm”, (IEEE Transactions on Acoustics, Speech and Signal Processing, Jun. 1985), as reprinted in Vector Quantization (IEEE Press, 1990), 1990, pp. 237-245.
Turletti, Thierry, “The INRIA Videoconferencing System (IVS)”, Oct. 1994, pp. 1-7.
Uslan et al., “A Review of Henter-Joyce's MAGic for Windows NT”, Journal of Visual Impairment and Blindness, Dec. 1999, pp. 666-668.
Uslan et al., “A Review of Supernova Screen Magnification Program for Windows”, Journal of Visual Impairment & Blindness, Feb. 1999, pp. 108-110.
Uslan et al., “A Review of Two Screen Magnification Programs for Windows 95: Magnum 95 and LP-Windows”, Journal of Visual Impairment & Blindness, Sep.-Oct. 1997, pp. 9-13.
Veiga, Alex, “AT&T Wireless Launching Music Service”, available at <http://bizyahoo.com/ap/041005/at_t_mobile_music_5.html?printer=1>, Oct. 5, 2004, 2 pages.
Vogel et al., “Shift: A Technique for Operating Pen-Based Interfaces Using Touch”, CHI '07 Proceedings, Mobile Interaction Techniques I, Apr. 28-May 3, 2007, pp. 657-666.
W3C Working Draft, “Speech Synthesis Markup Language Specification for the Speech Interface Framework”, available at <http://www.w3org./TR/speech-synthesis>, retrieved on Dec. 14, 2000, 42 pages.
Wadlow, M. G., “The Role of Human Interface Guidelines in the Design of Multimedia Applications”, Carnegie Mellon University (To be Published in Current Psychology: Research and Reviews, Summer 1990 (CMU-ITC-91-101), 1990, pp. 1-22.
Walker et al., “The Locus Distributed Operating System 1”, University of California Los Angeles, 1983, pp. 49-70.
Wang et al., “An Initial Study on Large Vocabulary Continuous Mandarin Speech Recognition with Limited Training Data Based on Sub-Syllabic Models”, International Computer Symposium, vol. 2, 1994, pp. 1140-1145.
Wang et al., “Tone Recognition of Continuous Mandarin Speech Based on Hidden Markov Model”, International Journal of Pattern Recognition and Artificial Intelligence, vol. 8, 1994, pp. 233-245.
Ware et al., “The DragMag Image Magnifier”, CHI '95 Mosaic of Creativity, May 7-11, 1995, pp. 407-408.
Ware et al., “The DragMag Image Magnifier Prototype I”, Apple Inc., Video Clip, Marlon, on a CD, Applicant is not Certain about the Date for the Video Clip., 1995.
Watabe et al., “Distributed Multiparty Desktop Conferencing System: MERMAID”, CSCW 90 Proceedings, Oct. 1990, pp. 27-38.
White, George M., “Speech Recognition, Neural Nets, and Brains”, Jan. 1992, pp. 1-48.
Wikipedia, “Acoustic Model”, available at <http://en.wikipedia.org/wiki/AcousticModel>, retrieved on Sep. 14, 2011, 2 pages.
Wikipedia, “Language Model”, available at <http://en.wikipedia.org/wiki/Language_model>, retrieved on Sep. 14, 2011, 3 pages.
Wikipedia, “Speech Recognition”, available at <http://en.wikipedia.org/wiki/Speech_recognition>, retrieved on Sep. 14, 2011, 10 pages.
Wilensky et al., “Talking to UNIX in English: An Overview of UC”, Communications of the ACM, vol. 27, No. 6, Jun. 1984, pp. 574-593.
Wilson, Mark, “New iPod Shuffle Moves Buttons to Headphones, Adds Text to Speech”, available at <http://gizmodo.com/5167946/new-ipod-shuffle-moves-buttons-to-headphones-adds-text-to-speech>, Mar. 11, 2009, 13 pages.
Wirelessinfo, “SMS/MMS Ease of Use (8.0)”, available at <http://www.wirelessinfo.com/content/palm-Treo-750-Cell-Phone-Review/Messaging.htm>, Mar. 2007, 3 pages.
Wong et al., “An 800 Bit/s Vector Quantization LPC Vocoder”, (IEEE Transactions on Acoustics, Speech and Signal Processing, Oct. 1982), as reprinted in Vector Quantization (IEEE Press, 1990), 1990, pp. 222-232.
Wong et al., “Very Low Data Rate Speech Compression with LPC Vector and Matrix Quantization”, (Proceedings of the IEEE Int'l Acoustics, Speech and Signal Processing Conference, Apr. 1983), as reprinted in Vector Quantization (IEEE Press, 1990), 1990, pp. 233-236.
Wu et al., “Automatic Generation of Synthesis Units and Prosodic Information for Chinese Concatenative Synthesis”, Speech Communication, vol. 35, No. 3-4, Oct. 2001, pp. 219-237.
Yang et al., “Auditory Representations of Acoustic Signals”, IEEE Transactions of Information Theory, vol. 38, No. 2, Mar. 1992, pp. 824-839.
Yang et al., “Hidden Markov Model for Mandarin Lexical Tone Recognition”, IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 36, No. 7, Jul. 1988, pp. 988-992.
Yiourgalis et al., “Text-to-Speech system for Greek”, ICASSP 91, vol. 1, May 14-17, 1991., pp. 525-528.
Zainab, “Google Input Tools Shows Onscreen Keyboard in Multiple Languages [Chrome]”, available at <http://www.addictivetips.com/internet-tips/google-input-tools-shows-multiple-language-onscreen-keyboards-chrome/>, Jan. 3, 2012, 3 pages.
Zelig, “A Review of the Palm Treo 750v”, available at <http://www.mtekk.com.au/Articles/tabid/54/articleType/ArticleView/articleId/769/A-Review-of-the-Palm-Treo-750v.aspx>, Feb. 5, 2007, 3 pages.
Zhang et al., “Research of Text Classification Model Based on Latent Semantic Analysis and Improved HS-SVM”, Intelligent Systems and Applications (ISA), 2010 2nd International Workshop, May 22-23, 2010, 5 pages.
Ziegler, K, “A Distributed Information System Study”, IBM Systems Journal, vol. 18, No. 3, 1979, pp. 374-401.
Zipnick et al., “U.S. Appl. No. 10/859,661, filed Jun. 2, 2004”.
“2004 Chrysler Pacifica: U-Connect Hands-Free Communication System”, The Best and Brightest of 2004, Brief Article, Automotive Industries, Sep. 2003, 1 page.
“2007 Lexus GS 450h 4dr Sedan (3.5L 6cyl Gas/Electric Hybrid CVT)”, available at <http://review.cnet.com/4505-10865_16-31833144.html>, retrieved on Aug. 3, 2006, 10 pages.
“All Music Website”, available at <http://www.allmusic.com/>, retrieved on Mar. 19, 2007, 2 pages.
“BluePhoneElite: About”, available at <http://www.reelintelligence.com/BluePhoneElite>, retrieved on Sep. 25, 2006, 2 pages.
“Top 10 Best Practices for Voice User Interface Design” available at <http://www.developer.com/voice/article.php/1567051/Top-10-Best-Practices-for-Voice-UserInterface-Design.htm>, Nov. 1, 2002, 4 pages.
Combined Search Report and Examination Report under Sections 17 and 18(3) received for GB Patent Application No. 1009318.5, dated Oct. 8, 2010, 5 pages.
Combined Search Report and Examination Report under Sections 17 and 18(3) received for GB Patent Application No. 1217449.6, dated Jan. 17, 2013, 6 pages.
Aikawa et al., “Speech Recognition Using Time-Warping Neural Networks”, Proceedings of the 1991, IEEE Workshop on Neural Networks for Signal Processing, 1991, 10 pages.
Bellegarda et al., “Performance of the IBM Large Vocabulary Continuous Speech Recognition System on the ARPA Wall Street Journal Task”, Signal Processing VII: Theories and Applications, European Association for Signal Processing, 1994, 4 pages.
Bellegarda et al., “The Metamorphic Algorithm: A Speaker Mapping Approach to Data Augmentation”, IEEE Transactions on Speech and Audio Processing, vol. 2, No. 3, Jul. 1994, 8 pages.
Belvin et al., “Development of the HRL Route Navigation Dialogue System”, Proceedings of the First International Conference on Human Language Technology Research, Paper, 2001, 5 pages.
Berry et al., “PTIME: Personalized Assistance for Calendaring”, ACM Transactions on Intelligent Systems and Technology, vol. 2, No. 4, Article 40, Jul. 2011, pp. 1-22.
Berry et al., “Task Management under Change and Uncertainty Constraint Solving Experience with the CALO Project”, Proceedings of CP'05 Workshop on Constraint Solving under Change, 2005, 5 pages.
Black et al., “Automatically Clustering Similar Units for Unit Selection in Speech Synthesis”, Proceedings of Eurospeech, vol. 2, 1997, 4 pages.
Blair et al., “An Evaluation of Retrieval Effectiveness for a Full-Text Document-Retrieval System”, Communications of the ACM, vol. 28, No. 3, Mar. 1985, 11 pages.
Bobrow et al., “Knowledge Representation for Syntactic/Semantic Processing”, From: AAA-80 Proceedings, Copyright 1980, AAAI, 1980, 8 pages.
Bouchou et al., “Using Transducers in Natural Language Database Query”, Proceedings of 4th International Conference on Applications of Natural Language to Information Systems, Austria, Jun. 1999, 17 pages.
Bratt et al., “The SRI Telephone-Based ATIS System”, Proceedings of ARPA Workshop on Spoken Language Technology, 1995, 3 pages.
Briner, L. L., “Identifying Keywords in Text Data Processing”, In Zelkowitz, Marvin V., ED, Directions and Challenges, 15th Annual Technical Symposium, Gaithersbury, Maryland, Jun. 17, 1976, 7 pages.
Bulyko et al., “Error-Correction Detection and Response Generation in a Spoken Dialogue System”, Speech Communication, vol. 45, 2005, pp. 271-288.
Bulyko et al., “Joint Prosody Prediction and Unit Selection for Concatenative Speech Synthesis”, Electrical Engineering Department, University of Washington, Seattle, 2001, 4 pages.
Burke et al., “Question Answering from Frequently Asked Question Files”, AI Magazine, vol. 18, No. 2, 1997, 10 pages.
Burns et al., “Development of a Web-Based Intelligent Agent for the Fashion Selection and Purchasing Process via Electronic Commerce”, Proceedings of the Americas Conference on Information System (AMCIS), Dec. 31, 1998, 4 pages.
Bussey, et al., “Service Architecture, Prototype Description and Network Implications of a Personalized Information Grazing Service”, INFOCOM'90, Ninth Annual Joint Conference of the IEEE Computer and Communication Societies, Available online at <http://slrohall.com/oublications/>, Jun. 1990, 8 pages.
Bussler et al., “Web Service Execution Environment (WSMX)”, retrieved from Internet on Sep. 17, 2012, available at <http://www.w3.org/Submission/WSMX>, Jun. 3, 2005, 29 pages.
Butcher, Mike, “EVI Arrives in Town to go Toe-to-Toe with Siri”, TechCrunch, Jan. 23, 2012, 2 pages.
Buzo et al., “Speech Coding Based Upon Vector Quantization”, IEEE Transactions on Acoustics, Speech and Signal Processing, vol. Assp-28, No. 5, Oct. 1980, 13 pages.
Caminero-Gil et al., “Data-Driven Discourse Modeling for Semantic Interpretation”, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, May 1996, 6 pages.
Car Working Group, “Hands-Free Profile 1.5 HFP1.5_SPEC”, Bluetooth Doc, available at <www.bluetooth.org>, Nov. 25, 2005, 93 pages.
Carter, D., “Lexical Acquisition in the Core Language Engine”, Proceedings of the Fourth Conference of the European Chapter of the Association for Computational Linguistics, 1989, 8 pages.
Carter et al., “The Speech-Language Interface in the Spoken Language Translator”, SRI International, Nov. 23, 1994, 9 pages.
Cawley, Gavin C. “The Application of Neural Networks to Phonetic Modelling”, PhD. Thesis, University of Essex, Mar. 1996, 13 pages.
Chai et al., “Comparative Evaluation of a Natural Language Dialog Based System and a Menu Driven System for Information Access: A Case Study”, Proceedings of the International Conference on Multimedia Information Retrieval (RIAO), Paris, Apr. 2000, 11 pages.
Chang et al., “A Segment-Based Speech Recognition System for Isolated Mandarin Syllables”, Proceedings TEN CON '93, IEEE Region 10 Conference on Computer, Communication, Control and Power Engineering, vol. 3, Oct. 1993, 6 pages.
Chen, Yi, “Multimedia Siri Finds and Plays Whatever You Ask for”, PSFK Report, Feb. 9, 2012, 9 pages.
Cheyer, Adam, “A Perspective on AI & Agent Technologies for SCM”, VerticalNet Presentation, 2001, 22 pages.
Cheyer, Adam, “About Adam Cheyer”, available at <http://www.adam.cheyer.com/about.html>, retrieved on Sep. 17, 2012, 2 pages.
Cheyer et al., “Multimodal Maps: An Agent-Based Approach”, International Conference on Co-operative Multimodal Communication, 1995, 15 pages.
Cheyer et al., “Spoken Language and Multimodal Applications for Electronic Realties”, Virtual Reality, vol. 3, 1999, pp. 1-15.
Cheyer et al., “The Open Agent Architecture”, Autonomous Agents and Multi-Agent Systems, vol. 4, Mar. 1, 2001, 6 pages.
Cheyer et al., “The Open Agent Architecture: Building Communities of Distributed Software Agents”, Artificial Intelligence Center, SRI International, Power Point Presentation, Available online at <http://www.ai.sri.com/-oaa/>, retrieved on Feb. 21, 1998, 25 pages.
Codd, E. F., “Databases: Improving Usability and Responsiveness—How About Recently”, Copyright 1978, Academic Press, Inc., 1978, 28 pages.
Cohen et al., “An Open Agent Architecture”, available at <http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.30.480>, 1994, 8 pages.
Cohen et al., “Voice User Interface Design,”, Excerpts from Chapter 1 and Chapter 10, 2004, 36 pages.
Coles et al., “Chemistry Question-Answering”, SRI International, Jun. 1969, 15 pages.
Coles et al., “Techniques for Information Retrieval Using an Inferential Question-Answering System with Natural-Language Input”, SRI International, Nov. 1972, 198 Pages.
Coles et al., “The Application of Theorem Proving to Information Retrieval”, SRI International, Jan. 1971, 21 pages.
Conklin, Jeff, “Hypertext: An Introduction and Survey”, Computer Magazine, Sep. 1987, 25 pages.
Connolly et al., “Fast Algorithms for Complex Matrix Multiplication Using Surrogates”, IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 37, No. 6, Jun. 1989, 13 pages.
Constantinides et al., “A Schema Based Approach to Dialog Control”, Proceedings of the International Conference on Spoken Language Processing, 1998, 4 pages.
Cox et al., “Speech and Language Processing for Next-Millennium Communications Services”, Proceedings of the IEEE, vol. 88, No. 8, Aug. 2000, 24 pages.
Craig et al., “Deacon: Direct English Access and Control”, AFIPS Conference Proceedings, vol. 19, San Francisco, Nov. 1966, 18 pages.
Cutkosky et al., “PACT: An Experiment in Integrating Concurrent Engineering Systems”, Journal & Magazines, Computer, vol. 26, No. 1, Jan. 1993, 14 pages.
Dar et al., “DTL's DataSpot: Database Exploration Using Plain Language”, Proceedings of the 24th VLDB Conference, New York, 1998, 5 pages.
Davis et al., “A Personal Handheld Multi-Modal Shopping Assistant”, International Conference on Networking and Services, IEEE, 2006, 9 pages.
SRI, “SRI Speech: Products: Software Development Kits: EduSpeak”, available at <http://web.archive.org/web/20090828084033/http://www.speechatsri.com/products/eduspeak>shtml, retrieved on Jun. 20, 2013, 2 pages.
“Mel Scale”, Wikipedia the Free Encyclopedia, Last modified on Oct. 13, 2009 and retrieved on Jul. 28, 2010, available at <http://en.wikipedia.org/wiki/Mel_scale>, 2 pages.
“Minimum Phase”, Wikipedia the free Encyclopedia, Last modified on Jan. 12, 2010 and retrieved on Jul. 28, 2010, available at <http://en.wikipedia.org/wiki/Minimum_phase>, 8 pages.
Acero et al., “Environmental Robustness in Automatic Speech Recognition”, International Conference on Acoustics, Speech and Signal Processing (ICASSP'90), Apr. 1990, 4 pages.
Acero et al., “Robust Speech Recognition by Normalization of the Acoustic Space”, International Conference on Acoustics, Speech and Signal Processing, 1991, 4 pages.
Agnas et al., “Spoken Language Translator: First-Year Report”, SICS (ISSN 0283-3638), SRI and Telia Research AB, Jan. 1994, 161 pages.
Ahlbom et al., Modeling Spectral Speech Transitions Using Temporal Decomposition Techniques, IEEE International Conference of Acoustics, Speech and Signal Processing (ICASSP'87), vol. 12, Apr. 1987, 4 pages.
Alfred App, “Alfred”, available at <http://www.alfredapp.com/>, retrieved on Feb. 8, 2012, 5 pages.
Allen, J., “Natural Language Understanding”, 2nd Edition, The Benjamin/Cummings Publishing Company, Inc., 1995, 671 pages.
Alshawi et al., “CLARE: A Contextual Reasoning and Co-operative Response Framework for the Core Language Engine”, SRI International, Cambridge Computer Science Research Centre, Cambridge, Dec. 1992, 273 pages.
Alshawi et al., “Declarative Derivation of Database Queries from Meaning Representations”, Proceedings of the BANKAI Workshop on Intelligent Information Access, Oct. 1991, 12 pages.
Alshawi et al., “Logical Forms in the Core Language Engine”, Proceedings of the 27th Annual Meeting of the Association for Computational Linguistics, 1989, pp. 25-32.
Alshawi et al., “Overview of the Core Language Engine”, Proceedings of Future Generation Computing Systems, Tokyo, 13 pages.
Alshawi, H., “Translation and Monotonic Interpretation/Generation”, SRI International, Cambridge Computer Science Research Centre, Cambridge, available at <http://www.cam.sri.com/tr/crc024/paper.ps.Z1992>, Jul. 1992, 18 pages.
Ambite et al., “Design and Implementation of the CALO Query Manager”, American Association for Artificial Intelligence, 2006, 8 pages.
Ambite et al., “Integration of Heterogeneous Knowledge Sources in the CALO Query Manager”, The 4th International Conference on Ontologies, Databases and Applications of Semantics (ODBASE), 2005, 18 pages.
Anastasakos et al., “Duration Modeling in Large Vocabulary Speech Recognition”, International Conference on Acoustics, Speech and Signal Processing (ICASSP'95), May 1995, pp. 628-631.
Anderson et al., “Syntax-Directed Recognition of Hand-Printed Two-Dimensional Mathematics”, Proceedings of Symposium on Interactive Systems for Experimental Applied Mathematics: Proceedings of the Association for Computing Machinery Inc. Symposium, 1967, 12 pages.
Ansari et al., “Pitch Modification of Speech using a Low-Sensitivity Inverse Filter Approach”, IEEE Signal Processing Letters, vol. 5, No. 3, Mar. 1998, pp. 60-62.
Anthony et al., “Supervised Adaption for Signature Verification System”, IBM Technical Disclosure, Jun. 1, 1978, 3 pages.
Appelt et al., “Fastus: A Finite-State Processor for Information Extraction from Real-world Text”, Proceedings of IJCAI, 1993, 8 pages.
Appelt et al., “SRI International Fastus System MUC-6 Test Results and Analysis”, SRI International, Menlo Park, California, 1995, 12 pages.
Apple Computer, “Guide Maker User's Guide”, Apple Computer, Inc., Apr. 27, 1994, 8 pages.
Apple Computer, “Introduction to Apple Guide”, Apple Computer, Inc., Apr. 28, 1994, 20 pages.
Archbold et al., “A Team User's Guide”, SRI International, Dec. 21, 1981, 70 pages.
Asanovic et al., “Experimental Determination of Precision Requirements for Back-Propagation Training of Artificial Neural Networks”, Proceedings of the 2nd International Conference of Microelectronics for Neural Networks, 1991, www.ICSI.Berkelev.EDU, 1991, 7 pages.
Atal et al., “Efficient Coding of LPC Parameters by Temporal Decomposition”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'83), Apr. 1983, 4 pages.
Bahl et al., “A Maximum Likelihood Approach to Continuous Speech Recognition”, IEEE Transaction on Pattern Analysis and Machine Intelligence, vol. PAMI-5, No. 2, Mar. 1983, 13 pages.
Bahl et al., “A Tree-Based Statistical Language Model for Natural Language Speech Recognition”, IEEE Transactions on Acoustics, Speech and Signal Processing, vol. 37, No. 7, Jul. 1989, 8 pages.
Bahl et al., “Acoustic Markov Models Used in the Tangora Speech Recognition System”, Proceeding of International Conference on Acoustics, Speech and Signal Processing (ICASSP'88), vol. 1, Apr. 1988, 4 pages.
Bahl et al., “Large Vocabulary Natural Language Continuous Speech Recognition”, Proceedings of 1989 International Conference on Acoustics, Speech and Signal Processing, vol. 1, May 1989, 6 pages.
Bahl et al., “Multonic Markov Word Models for Large Vocabulary Continuous Speech Recognition”, IEEE Transactions on Speech and Audio Processing, vol. 1, No. 3, Jul. 1993, 11 pages.
Bahl et al., “Speech Recognition with Continuous-Parameter Hidden Markov Models”, Proceeding of International Conference on Acoustics, Speech and Signal Processing (ICASSP'88), vol. 1, Apr. 1988, 8 pages.
Banbrook, M., “Nonlinear Analysis of Speech from a Synthesis Perspective”, A Thesis Submitted for the Degree of Doctor of Philosophy, The University of Edinburgh, Oct. 15, 1996, 35 pages.
Bear et al., “A System for Labeling Self-Repairs in Speech”, SRI International, Feb. 22, 1993, 9 pages.
Bear et al., “Detection and Correction of Repairs in Human-Computer Dialog”, SRI International, May 1992, 11 pages.
Bear et al., “Integrating Multiple Knowledge Sources for Detection and Correction of Repairs in Human-Computer Dialog”, Proceedings of the 30th Annual Meeting on Association for Computational Linguistics (ACL), 1992, 8 pages.
Bear et al., “Using Information Extraction to Improve Document Retrieval”, SRI International, Menlo Park, California, 1998, 11 pages.
Belaid et al., “A Syntactic Approach for Handwritten Mathematical Formula Recognition”, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. PAMI-6, No. 1, Jan. 1984, 7 pages.
Bellegarda et al., “A Latent Semantic Analysis Framework for Large-Span Language Modeling”, 5th European Conference on Speech, Communication and Technology (EUROSPEECH'97), Sep. 1997, 4 pages.
Bellegarda et al., “A Multispan Language Modeling Framework for Large Vocabulary Speech Recognition”, IEEE Transactions on Speech and Audio Processing, vol. 6, No. 5, Sep. 1998, 12 pages.
Bellegarda et al., “A Novel Word Clustering Algorithm Based on Latent Semantic Analysis”, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP'96), vol. 1, 1996, 4 pages.
Bellegarda et al., “Experiments Using Data Augmentation for Speaker Adaptation”, International Conference on Acoustics, Speech and Signal Processing (ICASSP'95), May 1995, 4 pages.
Bellegarda, Jerome R., “Exploiting Latent Semantic Information in Statistical Language Modeling”, Proceedings of the IEEE, vol. 88, No. 8, Aug. 2000, 18 pages.
Bellegarda, Jerome R., “Interaction-Driven Speech Input-A Data-Driven Approach to the Capture of both Local and Global Language Constraints”, available at <http://old.sig.chi.ora/bulletin/1998.2/bellegarda.html>, 1992, 7 pages.
Bellegarda, Jerome R., “Large Vocabulary Speech Recognition with Multispan Statistical Language Models”, IEEE Transactions on Speech and Audio Processing, vol. 8, No. 1, Jan. 2000, 9 pages.
Bellegarda et al., “On-Line Handwriting Recognition using Statistical Mixtures”, Advances in Handwriting and Drawings: A Multidisciplinary Approach, Europia, 6th International IGS Conference on Handwriting and Drawing, Paris, France, Jul. 1993, 11 pages.
Appelt et al., “SRI: Description of the JV-FASTUS System used for MUC-5”, SRI International, Artificial Intelligence Center, 1993, 19 pages.
Bellegarda, Jerome R., “Exploiting both Local and Global Constraints for Multi-Span Statistical Language Modeling”, Proceeding of the 1998 IEEE International Conference on Acoustics, Speech and Signal Processing (1CASSP'98), vol. 2, May 1998, 5 pages.
Shimazu et al., “CAPIT: Natural Language Interface Design Tool with Keyword Analyzer and Case-Based Parser”, NEG Research & Development, vol. 33, No. 4, Oct. 1992, 11 pages.
Shinkle, L., “Team User's Guide”, SRI International, Artificial Intelligence Center, Nov. 1984, 78 pages.
Shklar et al., “InfoHarness: Use of Automatically Generated Metadata for Search and Retrieval of Heterogeneous Information”, Proceedings of CAiSE'95, Finland, 1995, 14 pages.
Sigurdsson et al., “Mel Frequency Cepstral Co-efficients: An Evaluation of Robustness of MP3 Encoded Music”, Proceedings of the 7th International Conference on Music Information Retrieval, 2006, 4 pages.
Silverman et al., “Using a Sigmoid Transformation for Improved Modeling of Phoneme Duration”, Proceedings of the IEEE International Conference on Acoustics, Speech and Signal Processing, Mar. 1999, 5 pages.
Simonite, Tom, “One Easy Way to Make Siri Smarter”, Technology Review, Oct. 18, 2011, 2 pages.
Singh, N., “Unifying Heterogeneous Information Models”, Communications of the ACM, 1998, 13 pages.
SRI International, “The Open Agent Architecture TM 1.0 Distribution”, Open Agent Architecture (OAA), 1999, 2 pages.
Starr et al., “Knowledge-Intensive Query Processing”, Proceedings of the 5th KRDB Workshop, Seattle, May 31, 1998, 6 pages.
Stent et al., “The CommandTalk Spoken Dialogue System”, SRI International, 1999, pp. 183-190.
Stern et al., “Multiple Approaches to Robust Speech Recognition”, Proceedings of Speech and Natural Language Workshop, 1992, 6 pages.
Stickel, Mark E., “A Nonclausal Connection-Graph Resolution Theorem-Proving Program”, Proceedings of AAAI'82, 1982, 5 pages.
Sugumaran, V., “A Distributed Intelligent Agent-Based Spatial Decision Support System”, Proceedings of the Americas Conference on Information systems (AMCIS), Dec. 31, 1998, 4 pages.
Sycara et al., “Coordination of Multiple Intelligent Software Agents”, International Journal of Cooperative Information Systems (IJCIS), vol. 5, No. 2 & 3, 1996, 31 pages.
Sycara et al., “Distributed Intelligent Agents”, IEEE Expert, vol. 11, No. 6, Dec. 1996, 32 pages.
Sycara et al., “Dynamic Service Matchmaking among Agents in Open Information Environments”, SIGMOD Record, 1999, 7 pages.
Sycara et al., “The RETSINA MAS Infrastructure”, Autonomous Agents and Multi-Agent Systems, vol. 7, 2003, 20 pages.
Tenenbaum et al., “Data Structure Using Pascal”, Prentice-Hall, Inc., 1981, 34 pages.
Textndrive, “Text'nDrive App Demo-Listen and Reply to your Messages by Voice while Driving!”, YouTube Video available at <http://www.youtube.com/watch?v=WaGfzoHsAMw>, Apr. 27, 2010, 1 page.
Tofel, Kevin C., “SpeakTolt: A Personal Assistant for Older iPhones, iPads”, Apple News, Tips and Reviews, Feb. 9, 2012, 7 pages.
Tsai et al., “Attributed Grammar—A Tool for Combining Syntactic and Statistical Approaches to Pattern Recognition”, IEEE Transactions on Systems, Man and Cybernetics, vol. SMC-10, No. 12, Dec. 1980, 13 pages.
Tucker, Joshua, “Too Lazy to Grab Your TV Remote? Use Siri Instead”, Engadget, Nov. 30, 2011, 8 pages.
Tur et al., “The CALO Meeting Assistant System”, IEEE Transactions on Audio, Speech and Language Processing, vol. 18, No. 6, Aug. 2010, pp. 1601-1611.
Tur et al., “The CALO Meeting Speech Recognition and Understanding System”, Proc. IEEE Spoken Language Technology Workshop, 2008, 4 pages.
Tyson et al., “Domain-Independent Task Specification in the TACITUS Natural Language System”, SRI International, Artificial Intelligence Center, May 1990, 16 pages.
Udell, J., “Computer Telephony”, BYTE, vol. 19, No. 7, Jul. 1994, 9 pages.
Van Santen, J. P.H., “Contextual Effects on Vowel Duration”, Journal Speech Communication, vol. 11, No. 6, Dec. 1992, pp. 513-546.
Vepa et al., “New Objective Distance Measures for Spectral Discontinuities in Concatenative Speech Synthesis”, Proceedings of the IEEE 2002 Workshop on Speech Synthesis, 2002, 4 pages.
Verschelde, Jan, “MATLAB Lecture 8. Special Matrices in MATLAB”, UIC, Dept. of Math, Stat. & CS, MCS 320, Introduction to Symbolic Computation, 2007, 4 pages.
Vingron, Martin, “Near-Optimal Sequence Alignment”, Current Opinion in Structural Biology, vol. 6, No. 3, 1996, pp. 346-352.
Vlingo, “Vlingo Launches Voice Enablement Application on Apple App Store”, Press Release, Dec. 3, 2008, 2 pages.
Vlingo Incar, “Distracted Driving Solution with Vlingo InCar”, YouTube Video, Available online at <http://www.youtube.com/watch?v=Vqs8XfXxgz4>, Oct. 2010, 2 pages.
Voiceassist, “Send Text, Listen to and Send E-Mail by Voice”, YouTube Video, Available online at <http://www.youtube.com/watch?v=0tEU61nHHA4>, Jul. 30, 2009, 1 page.
Voiceonthego, “Voice on the Go (BlackBerry)”, YouTube Video, available online at <http://www.youtube.com/watch?v=pJqpWgQS98w>, Jul. 27, 2009, 1 page.
Wahlster et al., “Smartkom: Multimodal Communication with a Life-Like Character”, Eurospeech-Scandinavia, 7th European Conference on Speech Communication and Technology, 2001, 5 pages.
Waldinger et al., “Deductive Question Answering from Multiple Resources”, New Directions in Question Answering, Published by AAAI, Menlo Park, 2003, 22 pages.
Walker et al., “Natural Language Access to Medical Text”, SRI International, Artificial Intelligence Center, Mar. 1981, 23 pages.
Waltz, D., “An English Language Question Answering System for a Large Relational Database”, ACM, vol. 21, No. 7, 1978, 14 pages.
Ward et al., “A Class Based Language Model for Speech Recognition”, IEEE, 1996, 3 pages.
Ward et al., “Recent Improvements in the CMU Spoken Language Understanding System”, ARPA Human Language Technology Workshop, 1994, 4 pages.
Ward, Wayne, “The CMU Air Travel Information Service: Understanding Spontaneous Speech”, Proceedings of the Workshop on Speech and Natural Language, HLT '90, 1990, pp. 127-129.
Warren et al., “An Efficient Easily Adaptable System for Interpreting Natural Language Queries”, American Journal of Computational Linguistics, vol. 8, No. 3-4 , 1982, 11 pages.
Weizenbaum, J., “ELIZA—A Computer Program for the Study of Natural Language Communication Between Man and Machine”, Communications of the ACM, vol. 9, No. 1, Jan. 1966, 10 pages.
Werner et al., “Prosodic Aspects of Speech, Universite de Lausanne”, Fundamentals of Speech Synthesis and Speech Recognition: Basic Concepts, State of the Art and Future Challenges, 1994, 18 pages.
Winiwarter et al., “Adaptive Natural Language Interfaces to FAQ Knowledge Bases”, Proceedings of 4th International Conference on Applications of Natural Language to Information Systems, Austria, Jun. 1999, 22 pages.
Wolff, M., “Post Structuralism and the ARTFUL Database: Some Theoretical Considerations”, Information Technology and Libraries, vol. 13, No. 1, Mar. 1994, 10 pages.
Wu, M., “Digital Speech Processing and Coding”, Multimedia Signal Processing, Lecture-2 Course Presentation, University of Maryland, College Park, 2003, 8 pages.
Wu et al., “KDA: A Knowledge-Based Database Assistant”, Proceeding of the Fifth International Conference on Engineering (IEEE Cat.No. 89CH2695-5), 1989, 8 pages.
Wu, M., “Speech Recognition, Synthesis, and H.C.I.”, Multimedia Signal Processing, Lecture-3 Course Presentation, University of Maryland, College Park, 2003, 11 pages.
Wyle, M. F., “A Wide Area Network Information Filter”, Proceedings of First International Conference on Artificial Intelligence on Wall Street, Oct. 1991, 6 pages.
“BluePhoneElite: Features”, available at <http://www.reelintelligence.com/BluePhoneElite/features.shtml,>, retrieved on Sep. 25, 2006, 2 pages.
“Digital Audio in the New Era”, Electronic Design and Application, No. 6, Jun. 30, 2003, 3 pages.
“Mobile Speech Solutions, Mobile Accessibility”, SVOX AG Product Information Sheet, available at <http://www.svox.com/site/bra840604/con782768/mob965831936.aSQ?osLang=1>, Sep. 27, 2012, 1 page.
“N200 Hands-Free Bluetooth Car Kit”, available at <www.wirelessground.com>, retrieved on Mar. 19, 2007, 3 pages.
“PhatNoise”, Voice Index on Tap, Kenwood Music Keg, available at <http://www. phatnoise.com/kenwood/kenwoodssamail.html>, retrieved on Jul. 13, 2006, 1 page.
“What is Fuzzy Logic?”, available at <http://www.cs.cmu.edu>, retrieved on Apr. 15, 1993, 5 pages.
“Windows XP: A Big Surprise!—Experiencing Amazement from Windows XP”, New Computer, No. 2, Feb. 28, 2002, 8 pages.
Aikawa et al., “Generation for Multilingual MT”, available at <http://mtarchive.info/MTS-2001-Aikawa.pdf>, retrieved on Sep. 18, 2001, 6 pages.
Anhui USTC IFL Ytek Co. Ltd., “Flytek Research Center Information Datasheet”, available at <http://www.iflttek.com/english/Research.html>, retrieved on Oct. 15, 2004, 3 pages.
Borden IV, G.R., “An Aural User Interface for Ubiquitous Computing”, Proceedings of the 6th International Symposium on Wearable Computers, IEEE, 2002, 2 pages.
Brain, Marshall, “How MP3 Files Work”, available at <http://www.howstuffworks.com>, retrieved on Mar. 19, 2007, 4 pages.
Busemann et al., “Natural Language Diaglogue Service for Appointment Scheduling Agents”, Technical Report RR-97-02, Deutsches Forschungszentrum fur Kunstliche Intelligenz GmbH, 1997, 8 pages.
Dusan et al., “Multimodal Interaction on PDA's Integrating Speech and Pen Inputs”, Eurospeech Geneva, 2003, 4 pages.
Lamel et al., “Generation and synthesis of Broadcast Messages”, Proceedings of ESCA-NATO Workshop: Applications of Speech Technology, Sep. 1, 1993, 4 pages.
Lyons et al., “Augmenting Conversations Using Dual-Purpose Speech”, Proceedings of the 17th Annual ACM Symposium on User interface Software and Technology, 2004, 10 pages.
Macsimum News, “Apple Files Patent for an Audio Interface for the iPod”, available at <http://www.macsimumnews.com/index.php/archive/apple_files_patent_for_an_audio_interface_for_the_ipod>, retrieved on Jul. 13, 2006, 8 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2004/016519, dated Nov. 3, 2005, 6 pages.
Invitation to Pay Additional Fees and Partial International Search Report received for PCT Patent Application No. PCT/US2004/016519, dated Aug. 4, 2005, 6 pages.
International Search Report received for PCT Patent Application No. PCT/US2011/037014, dated Oct. 4, 2011, 6 pages.
Invitation to Pay Additional Search Fees received for PCT Application No. PCT/US2011/037014, dated Aug. 2, 2011, 6 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2012/043098, dated Nov. 14, 2012, 9 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2013/040971, dated Nov. 12, 2013, 11 pages.
Quazza et al., “Actor: A Multilingual Unit-Selection Speech Synthesis System”, Proceedings of 4th ISCA Tutorial and Research Workshop on Speech Synthesis, Jan. 1, 2001, 6 pages.
Ricker, Thomas, “Apple Patents Audio User Interface”, Engadget, available at <http://www.engadget.com/2006/05/04/apple-patents-audio-user-interface/>, May 4, 2006, 6 pages.
Santaholma, Marianne E., “Grammar Sharing Techniques for Rule-based Multilingual NLP Systems”, Proceedings of the 16th Nordic Conference of Computational Linguistics, NODALIDA 2007, May 25, 2007, 8 pages.
Taylor et al., “Speech Synthesis by Phonological Structure Matching”, International Speech Communication Association, vol. 2, Section 3, 1999, 4 pages.
Xu et al., “Speech-Based Interactive Games for Language Learning: Reading, Translation, and Question-Answering”, Computational Linguistics and Chinese Language Processing, vol. 14, No. 2, Jun. 2009, pp. 133-160.
Yunker, John, “Beyond Borders: Web Globalization Strategies”, New Riders, Aug. 22, 2002, 11 pages.
Yang et al., “Smart Sight: A Tourist Assistant System”, Proceedings of Third International Symposium on Wearable Computers, 1999, 6 pages.
Yankelovich et al., “Intermedia: The Concept and the Construction of a Seamless Information Environment”, Computer Magazine, IEEE, Jan. 1988, 16 pages.
Yoon et al., “Letter-to-Sound Rules for Korean”, Department of Linguistics, The Ohio State University, 2002, 4 pages.
Zeng et al., “Cooperative Intelligent Software Agents”, The Robotics Institute, Carnegie-Mellon University, Mar. 1995, 13 pages.
Zhao, Y., “An Acoustic-Phonetic-Based Speaker Adaptation Technique for Improving Speaker-Independent Continuous Speech Recognition”, IEEE Transactions on Speech and Audio Processing, vol. 2, No. 3, Jul. 1994, pp. 380-394.
Zhao et al., “Intelligent Agents for Flexible Workflow Systems”, Proceedings of the Americas Conference on Information Systems (AMCIS), Oct. 1998, 4 pages.
Zovato et al., “Towards Emotional Speech Synthesis: A Rule based Approach”, Proceedings of 5th ISCA Speech Synthesis Workshop—Pittsburgh, 2004, pp. 219-220.
Zue, Victor, “Conversational Interfaces: Advances and Challenges”, Spoken Language System Group, Sep. 1997, 10 pages.
Zue et al., “From Interface to Content: Translingual Access and Delivery of On-Line Information”, Eurospeech, 1997, 4 pages.
Zue et al., “Jupiter: A Telephone-Based Conversational Interface for Weather Information”, IEEE Transactions on Speech and Audio Processing, Jan. 2000, 13 pages.
Zue et al., “Pegasus: A Spoken Dialogue Interface for On-Line Air Travel Planning”, Speech Communication, vol. 15, 1994, 10 pages.
Zue et al., “The Voyager Speech Understanding System: Preliminary Development and Evaluation”, Proceedings of IEEE, International Conference on Acoustics, Speech and Signal Processing, 1990, 4 pages.
Zue, Victor W., “Toward Systems that Understand Spoken Language”, ARPA Strategic Computing Institute, Feb. 1994, 9 pages.
International Search Report received for PCT Patent Application No. PCT/GB2009/051684, dated Mar. 12, 2010, 4 pages.
International Preliminary Report on Patentability received for PCT Patent Application No. PCT/GB2009/051684, dated Jun. 23, 2011, 10 pages.
Cucerzan et al., “Bootstrapping a Multilingual Part-of-Speech Tagger in One Person-Day”, In Proceedings of the 6th Conference on Natural Language Learning, vol. 20, 2002, pp. 1-7.
Schone et al., “Knowledge-Free Induction of Morphology Using Latent Semantic Analysis”, Proceedings of the 2nd Workshop on Learning Language in Logic and the 4th Conference on Computational Natural Language Learning, vol. 7, 2000, pp. 67-72.
Carpendale et al., “3-Dimensional Pliable Surfaces: For the Effective Presentation of Visual Information”, UIST '95 Proceedings of the 8th Annual ACM Symposium on User Interface and Software Technology, Nov. 14-17, 1995, pp. 217-226.
Carpendale et al., “Extending Distortion Viewing from 2D to 3D”, IEEE Computer Graphics and Applications, Jul./Aug. 1997, pp. 42-51.
Carpendale et al., “Making Distortions Comprehensible”, IEEE Proceedings of Symposium on Visual Languages, 1997, 10 pages.
Casner et al., “N-Way Conferencing with Packet Video”, The Third International Workshop on Packet Video, Mar. 22-23, 1990, pp. 1-6.
Chakarova et al., “Digital Still Cameras—Downloading Images to a Computer”, Multimedia Reporting and Convergence, available at <http://journalism.berkeley.edu/multimedia/tutorials/stillcams/downloading.html>, retrieved on May 9, 2005, 2 pages.
Chartier, David, “Using Multi-Network Meebo Chat Service on Your iPhone”, available at <http://www.tuaw.com/2007/07/04/using-multi-network-meebo-chat-service-on-your-iphone/>, Jul. 4, 2007, 5 pages.
Extended European Search Report (includes European Search Report and European Search Opinion) received for European Patent Application No. 06256215.2, dated Feb. 20, 2007, 6 pages.
Extended European Search Report (includes Supplementary European Search Report and Search Opinion) received for European Patent Application No. 07863218.9, dated Dec. 9, 2010, 7 pages.
Extended European Search Report (includes European Search Report and European Search Opinion) received for European Patent Application No. 12186113.2, dated Apr. 28, 2014, 14 pages.
Extended European Search Report (includes European Search Report and European Search Opinion) received for European Patent Application No. 13155688.8, dated Aug. 22, 2013, 11 pages.
ABCOM PTY. Ltd. “12.1″ 925 Candela Mobile PC”, LCDHardware.com, available at <http://www.lcdhardware.com/pane1/12_1_panel/default.asp.>, retrieved on Dec. 19, 2002, 2 pages.
Cisco Systems, Inc., “Cisco Unity Unified Messaging User Guide”, Release 4.0(5), Apr. 14, 2005, 152 pages.
Cisco Systems, Inc., “Installation Guide for Cisco Unity Unified Messaging with Microsoft Exchange 2003/2000 (With Failover Configured)”, Release 4.0(5), Apr. 14, 2005, 152 pages.
Cisco Systems, Inc., “Operations Manager Tutorial, Cisco's IPC Management Solution”, 2006, 256 pages.
Coleman, David W., “Meridian Mail Voice Mail System Integrates Voice Processing and Personal Computing”, Speech Technology, vol. 4, No. 2, Mar./Apr. 1988, pp. 84-87.
Compaq, “Personal Jukebox”, available at <http://research.compaq.com/SRC/pjb/>, 2001, 3 pages.
Compaq Inspiration Technology, “Personal Jukebox (PJB)—Systems Research Center and PAAD”, Oct. 13, 2000, 25 pages.
Conkie et al., “Preselection of Candidate Units in a Unit Selection-Based Text-to-Speech Synthesis System”, ISCA, 2000, 4 pages.
Conklin, Jeffrey, “A Survey of Hypertext”, MCC Software Technology Program, Dec. 1987, 40 pages.
Copperi et al., “CELP Coding for High Quality Speech at 8 kbits/s”, Proceedings of IEEE International Acoustics, Speech and Signal Processing Conference, Apr. 1986), as reprinted in Vector Quantization (IEEE Press), 1990, pp. 324-327.
Corr, Paul, “Macintosh Utilities for Special Needs Users”, available at <http://homepage.mac.com/corrp/macsupt/columns/specneeds.html>, Feb. 1994 (content updated Sep. 19, 1999), 4 pages.
Creative, “Creative NOMAD MuVo”, available at <http://web.archive.org/web/20041024075901/www.creative.com/products/product.asp?category=213&subcategory=216&product=4983>, retrieved on Jun. 7, 2006, 1 page.
Creative, “Creative NOMAD MuVo TX”, available at <http://web.archive.org/web/20041024175952/www.creative.com/products/pfriendly.asp?product=9672>, retrieved on Jun. 6, 2006, 1 page.
Creative, “Digital MP3 Player”, available at <http://web.archive.org/web/20041024074823/www.creative. com/products/product.asp?category=213&subcategory=216&product=4983, 2004, 1 page.
Creative Technology Ltd., “Creative NOMAD®: Digital Audio Player: User Guide (On-Line Version)”, available at <http://ec1.images-amazon.com/media/i3d/01/A/man-migrate/MANUAL000010757.pdf>, Jun. 1999, 40 pages.
Creative Technology Ltd., “Creative NOMAD® II: Getting Started—User Guide (On Line Version)”, available at <http://ec1.images-amazon.com/media/i3d/01/A/man-migrate/MANUAL000026434.pdf>, Apr. 2000, 46 pages.
Creative Technology Ltd., “Nomad Jukebox”, User Guide, Version 1.0, Aug. 2000, 52 pages.
Croft et al., “Task Support in an Office System”, Proceedings of the Second ACM-SIGOA Conference on Office Information Systems, 1984, pp. 22-24.
Crowley et al., “MMConf: An Infrastructure for Building Shared Multimedia Applications”, CSCW 90 Proceedings, Oct. 1990, pp. 329-342.
Cuperman et al., “Vector Predictive Coding of Speech at 16 kbit s/s”, (IEEE Transactions on Communications, Jul. 1985), as reprinted in Vector Quantization (IEEE Press, 1990), 1990, pp. 300-311.
ABF Software, “Lens- Magnifying Glass 1.5”, available at <http://download.com/3000-2437-10262078.html?tag=1st-0-1>, retrieved on Feb. 11, 2004, 1 page.
Davis et al., “Stone Soup Translation”, Department of Linguistics, Ohio State University, 2001, 11 pages.
De Herrera, Chris, “Microsoft ActiveSync 3.1”, Version 1.02, available at <http://www.cewindows.net/wce/activesync3.1.htm>, Oct. 13, 2000, 8 pages.
Degani et al., “‘Soft’ Controls for Hard Displays: Still a Challenge”, Proceedings of the 36th Annual Meeting of the Human Factors Society, 1992, pp. 52-56.
Del Strother, Jonathan, “Coverflow”, available at <http://www.steelskies.com/coverflow>, retrieved on Jun. 15, 2006, 14 pages.
Diamond Multimedia Systems, Inc., “Rio PMP300: User's Guide”, available at <http://ec1.images-amazon.com/media/i3d/01/A/man-migrate/MANUAL000022854.pdf>, 1998, 28 pages.
Dickinson et al., “Palmtips: Tiny Containers for All Your Data”, PC Magazine, vol. 9, Mar. 1990, p. 218(3).
Digital Equipment Corporation, “OpenVMS RTL DECtalk (DTK$) Manual”, May 1993, 56 pages.
Donahue et al., “Whiteboards: A Graphical Database Tool”, ACM Transactions on Office Information Systems, vol. 4, No. 1, Jan. 1986, pp. 24-41.
Dourish et al., “Portholes: Supporting Awareness in a Distributed Work Group”, CHI 1992;, May 1992, pp. 541-547.
Abut et al., “Low-Rate Speech Encoding Using Vector Quantization and Subband Coding”, (Proceedings of the IEEE International Acoustics, Speech and Signal Processing Conference, Apr. 1986), as reprinted in Vector Quantization IEEE Press, 1990, pp. 312-315.
dyslexic.com, “AlphaSmart 3000 with CoWriter SmartApplet: Don Johnston Special Needs”, available at <http://www.dyslexic.com/procuts.php?catid- 2&pid=465&PHPSESSID=2511b800000f7da>, retrieved on Dec. 6, 2005, 13 pages.
Edwards, John R., “Q&A: Integrated Software with Macros and an Intelligent Assistant”, Byte Magazine, vol. 11, No. 1, Jan. 1986, pp. 120-122.
Egido, Carmen, “Video Conferencing as a Technology to Support Group Work: A Review of its Failures”, Bell Communications Research, 1988, pp. 13-24.
Elliot, Chip, “High-Quality Multimedia Conferencing Through a Long-Haul Packet Network”, BBN Systems and Technologies, 1993, pp. 91-98.
Elliott et al., “Annotation Suggestion and Search for Personal Multimedia Objects on the Web”, CIVR, Jul. 7-9, 2008, pp. 75-84.
Elofson et al., “Delegation Technologies: Environmental Scanning with Intelligent Agents”, Jour. of Management Info. Systems, Summer 1991, vol. 8, No. 1, 1991, pp. 37-62.
Eluminx, “Illuminated Keyboard”, available at <http://www.elumix.com/>, retrieved on Dec. 19, 2002, 1 page.
Engst, Adam C., “SoundJam Keeps on Jammin'”, available at <http://db.tidbits.com/getbits.acgi?tbart=05988>, Jun. 19, 2000, 3 pages.
Ericsson Inc., “Cellular Phone with Integrated MP3 Player”, Research Disclosure Journal No. 41815, Feb. 1999, 2 pages.
Eslambolchilar et al., “Making Sense of Fisheye Views”, Second Dynamics and Interaction Workshop at University of Glasgow, Aug. 2005, 6 pages.
Eslambolchilar et al., “Multimodal Feedback for Tilt Controlled Speed Dependent Automatic Zooming”, UIST'04, Oct. 24-27, 2004, 2 pages.
Fanty et al., “A Comparison of DFT, PLP and Cochleagram for Alphabet Recognition”, IEEE, Nov. 1991.
Findlater et al., “Beyond QWERTY: Augmenting Touch-Screen Keyboards with Multi-Touch Gestures for Non-Alphanumeric Input”, CHI '12, Austin, Texas, USA, May 5-10, 2012, 4 pages.
Fisher et al., “Virtual Environment Display System”, Interactive 3D Graphics, Oct. 23-24, 1986, pp. 77-87.
Forsdick, Harry, “Explorations into Real-Time Multimedia Conferencing”, Proceedings of the Ifip Tc 6 International Symposium on Computer Message Systems, 1986, 331 pages.
Furnas et al., “Space-Scale Diagrams: Understanding Multiscale Interfaces”, CHI '95 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems, 1995, pp. 234-241.
Furnas, George W., “Effective View Navigation”, Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems, Mar. 1997, pp. 367-374.
Furnas, George W., “Generalized Fisheye Views”, CHI '86 Proceedings of the SIGCHi Conference on Human Factors in Computing Systems, vol. 17, No. 4, Apr. 1986, pp. 16-23.
Furnas, George W., “The Fisheye Calendar System”, Bellcore Technical Memorandum, Nov. 19, 1991.
Gardner, Jr., P. C., “A System for the Automated Office Environment”, IBM Systems Journal, vol. 20, No. 3, 1981, pp. 321-345.
Garretson, R., “IBM Adds ‘Drawing Assistant’ Design Tool to Graphic Series”, PC Week, vol. 2, No. 32, Aug. 13, 1985, 1 page.
Gaver et al., “One Is Not Enough: Multiple Views in a Media Space”, INTERCHI, Apr. 24-29, 1993, pp. 335-341.
Gaver et al., “Realizing a Video Environment: EuroPARC's RAVE System”, Rank Xerox Cambridge EuroPARC, 1992, pp. 27-35.
Giachin et al., “Word Juncture Modeling Using Inter-Word Context-Dependent Phone-Like Units”, Cselt Technical Reports, vol. 20, No. 1, Mar. 1992, pp. 43-47.
Gillespie, Kelly, “Adventures in Integration”, Data Based Advisor, vol. 9, No. 9, Sep. 1991, pp. 90-92.
Gillespie, Kelly, “Internationalize Your Applications with Unicode”, Data Based Advisor, vol. 10, No. 10, Oct. 1992, pp. 136-137.
Gilloire et al., “Innovative Speech Processing for Mobile Terminals: An Annotated Bibliography”, Signal Processing, vol. 80, No. 7, Jul. 2000, pp. 1149-1166.
Glinert-Stevens, Susan, “Microsoft Publisher: Desktop Wizardry”, PC Sources, vol. 3, No. 2, Feb. 1992, 1 page.
Gmail, “About Group Chat”, available at <http://mail.google.com/support/bin/answer.py?answer=81090>, Nov. 26, 2007, 2 pages.
Goldberg, Cheryl, “IBM Drawing Assistant: Graphics for the EGA”, PC Magazine, vol. 4, No. 26, Dec. 24, 1985, 1 page.
Good et al., “Building a User-Derived Interface”, Communications of the ACM; (Oct. 1984) vol. 27, No. 10, Oct. 1984, pp. 1032-1043.
Gray et al., “Rate Distortion Speech Coding with a Minimum Discrimination Information Distortion Measure”, (IEEE Transactions on Information Theory, Nov. 1981), as reprinted in Vector Quantization (IEEE Press), 1990, pp. 208-221.
Greenberg, Saul, “A Fisheye Text Editor for Relaxed-Wysiwis Groupware”, CHI '96 Companion, Vancouver, Canada, Apr. 13-18, 1996, 2 pages.
Griffin et al., “Signal Estimation From Modified Short-Time Fourier Transform”, IEEE Transactions on Acoustics, Speech and Signal Processing, vol. ASSP-32, No. 2, Apr. 1984, pp. 236-243.
Gruhn et al., “A Research Perspective on Computer-Assisted Office Work”, IBM Systems Journal, vol. 18, No. 3, 1979, pp. 432-456.
Hain et al., “The Papageno TTS System”, Siemens AG, Corporate Technology, Munich, Germany TC-STAR Workshop, 2006, 6 pages.
Halbert, D. C., “Programming by Example”, Dept. Electrical Engineering and Comp. Sciences, University of California, Berkley, Nov. 1984, pp. 1-76.
Hall, William S., “Adapt Your Program for Worldwide Use with Windows.TM. Internationalization Support”, Microsoft Systems Journal, vol. 6, No. 6, Nov./Dec. 1991, pp. 29-58.
Haoui et al., “Embedded Coding of Speech: A Vector Quantization Approach”, (Proceedings of the IEEE International Acoustics, Speech and Signal Processing Conference, Mar. 1985), as reprinted in Vector Quantization (IEEE Press, 1990), 1990, pp. 297-299.
Hartson et al., “Advances in Human-Computer Interaction”, Chapters 1, 5, and 6, vol. 3, 1992, 121 pages.
Heger et al., “KNOWBOT: An Adaptive Data Base Interface”, Nuclear Science and Engineering, V. 107, No. 2, Feb. 1991, pp. 142-157.
Hendrix et al., “The Intelligent Assistant: Technical Considerations Involved in Designing q&a's Natural-Language Interface”, Byte Magazine, Issue 14, Dec. 1987, 1 page.
Heyer et al., “Exploring Expression Data: Identification and Analysis of Coexpressed Genes”, Genome Research, vol. 9, 1999, pp. 1106-1115.
Hill, R. D., “Some Important Features and Issues in User Interface Management System”, Dynamic Graphics Project, University of Toronto, CSRI, vol. 21, No. 2, Apr. 1987, pp. 116-120.
Hinckley et al., “A Survey of Design Issues in Spatial Input”, UIST '94 Proceedings of the 7th Annual ACM Symposium on User Interface Software and Technology, 1994, pp. 213-222.
Hiroshi, “TeamWork Station: Towards a Seamless Shared Workspace”, NTT Human Interface Laboratories, CSCW 90 Proceedings, Oct. 1990, pp. 13-26.
Holmes, “Speech System and Research”, 1955, pp. 129-135, 152-153.
Hon et al., “Towards Large Vocabulary Mandarin Chinese Speech Recognition”, Conference on Acoustics, Speech, and Signal Processing, ICASSP-94, IEEE International, vol. 1, Apr. 1994, pp. 545-548.
Hopper, Andy, “Pandora—An Experimental System for Multimedia Applications”, Olivetti Research Laboratory, Apr. 1990, pp. 19-34.
Howard, John H., “(Abstract) An Overview of the Andrew File System”, Information Technology Center, Carnegie Mellon University; (CMU-ITC-88-062) To Appear in a future issue of the ACM Transactions on Computer Systems, 1988, pp. 1-6.
Huang et al., “Real-Time Software-Based Video Coder for Multimedia Communication Systems”, Department of Computer Science and Information Engineering, 1993, 10 pages.
Hukin, R. W., “Testing an Auditory Model by Resynthesis”, European Conference on Speech Communication and Technology, Sep. 26-29, 1989, pp. 243-246.
Hunt, “Unit Selection in a Concatenative Speech Synthesis System Using a Large Speech Database”, Copyright 1996 IEEE. “To appear in Proc. ICASSP-96, May 7-10, Atlanta, GA” ATR Interpreting Telecommunications Research Labs, Kyoto Japan, 1996, pp. 373-376.
IBM, “Why Buy: ThinkPad”, available at <http://www.pc.ibm.com/us/thinkpad/easeofuse.html>, retrieved on Dec. 19, 2002, 2 pages.
IBM Corporation, “Simon Says Here's How”, Users Manual, 1994, 3 pages.
IChat AV, “Video Conferencing for the Rest of Us”, Apple—Mac OS X—iChat AV, available at <http://www.apple.com/macosx/features/ichat/>, retrieved on Apr. 13, 2006, 3 pages.
IPhone Hacks, “Native iPhone MMS Application Released”, available at <http://www.iphonehacks.com/2007/12/iphone-mms-app.html>, retrieved on Dec. 25, 2007, 5 pages.
Iphonechat, “iChat for iPhone in JavaScript”, available at <http://www.publictivity.com/iPhoneChat/>, retrieved on Dec. 25, 2007, 2 pages.
Jabra, “Bluetooth Headset: User Manual”, 2005, 17 pages.
Omologo et al., “Microphone Array Based Speech Recognition with Different Talker-Array Positions”, IEEE International Conference on Acoustics, Speech, and Signal Processing, vol. 1, Apr. 21-24, 1997, pp. 227-230.
Oregon Scientific, “512MB Waterproof MP3 Player with FM Radio & Built-in Pedometer”, available at <http://www2.oregonscientific.com/shop/product.asp?cid=4&scid=11&pid=581>, retrieved on Jul. 31, 2006, 2 pages.
Oregon Scientific, “Waterproof Music Player with FM Radio and Pedometer (MP121)—User Manual”, 2005, 24 pages.
Padilla, Alfredo, “Palm Treo 750 Cell Phone Review—Messaging”, available at <http://www.wirelessinfo.com/content/palm-Treo-750-Cell-Phone-Review/Messaging.htm>, Mar. 17, 2007, 6 pages.
Palay et al., “The Andrew Toolkit: An Overview”, Information Technology Center, Carnegie-Mellon University, 1988, pp. 1-15.
Palm, Inc., “User Guide : Your Palm® Treo.TM. 755p Smartphone”, 2005-2007, 304 pages.
Panasonic, “Toughbook 28: Powerful, Rugged and Wireless”, Panasonic: Toughbook Models, available at <http://www.panasonic.com/computer/notebook/html/01a_s8.htm>, retrieved on Dec. 19, 2002, 3 pages.
Parks et al., “Classification of Whale and Ice Sounds with a cochlear Model”, IEEE, Mar. 1992.
Patterson et al., “Rendezvous: An Architecture for Synchronous Multi-User Applications”, CSCW '90 Proceedings, 1990, pp. 317-328.
International Search Report received for PCT Patent Application No. PCT/US2002/033330, dated Feb. 4, 2003, 6 pages.
Ahmed et al., “Intelligent Natural Language Query Processor”, TENCON '89, Fourth IEEE Region 10 International Conference, Nov. 22-24, 1989, pp. 47-49.
Ahuja et al., “A Comparison of Application Sharing Mechanisms in Real-Time Desktop Conferencing Systems”, AT&T Bell Laboratories, 1990, pp. 238-248.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2005/038819, dated Apr. 5, 2006, 12 pages.
International Search Report received for PCT Patent Application No. PCT/US2005/046797, dated Nov. 24, 2006, 6 pages.
Invitation to Pay Additional Fees and Partial Search Report received for PCT Application No. PCT/US2005/046797, dated Jul. 3, 2006, 6 pages.
Written Opinion received for PCT Patent Application No. PCT/US2005/046797, dated Nov. 24, 2006, 9 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2006/048669, dated Jul. 2, 2007, 12 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2006/048670, dated May 21, 2007, 11 pages.
Invitation to Pay Addition Fees and Partial International Search Report received for PCT Patent Application No. PCT/US2006/048738, dated Jul. 10, 2007, 4 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2006/048753, dated Jun. 19, 2007, 15 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2007/026243, dated Mar. 31, 2008, 10 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2007/077424, dated Jun. 19, 2008, 13 pages.
Invitation to Pay Additional Fees received for PCT Application No. PCT/US2007/077424, dated Apr. 29, 2008, 6 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2007/077443, dated Feb. 21, 2008, 8 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2007/088872, dated May 8, 2008, 8 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2007/088873, dated May 8, 2008, 7 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2008/000032, dated Jun. 12, 2008, 7 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2008/000042, dated May 21, 2008, 7 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2008/000043, dated Oct. 10, 2008, 12 pages.
Invitation to Pay Additional Fees received for PCT Patent Application No. PCT/US2008/000043, dated Jun. 27, 2008, 4 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2008/000045, dated Jun. 12, 2008, 7 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2008/000047, dated Sep. 11, 2008, 12 pages.
Invitation to Pay Additional Fees received for PCT Patent Application No. PCT/US2008/000047, dated Jul. 4, 2008, 4 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2008/000059, dated Sep. 19, 2008, 18 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2008/000061, dated Jul. 1, 2008, 13 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2008/050083, dated Jul. 4, 2008, 9 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2011/020350, dated Jun. 30, 2011, 17 pages.
Invitation to Pay Additional Fees and Partial International Search Report received for PCT Patent Application No. PCT/US2011/020350, dated Apr. 14, 2011, 5 pages.
International Preliminary Report on Patentability received for PCT Patent Application No. PCT/US2011/020861, dated Aug. 2, 2012, 11 pages.
Aikawa, K. “Time-Warping Neural Network for Phoneme Recognition”, IEEE International Joint Conference on Neural Networks, vol. 3, Nov. 18-21, 1991, pp. 2122-2127.
Allen et al., “Automated Natural Spoken Dialog”, Computer, vol. 35, No. 4, Apr. 2002, pp. 51-56.
Alleva et al., “Applying SPHINX-II to DARPA Wall Street Journal CSR Task”, Proceedings of Speech and Natural Language Workshop, Feb. 1992, pp. 393-398.
Amrel Corporation, “Rocky Matrix BackLit Keyboard”, available at <http://www.amrel.com/asi_matrixkeyboard.html>, retrieved on Dec. 19, 2002, 1 page.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2012/034028, dated Jun. 11, 2012, 9 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2012/040931, dated Feb. 1, 2013, 4 pages. (International Search Report only).
Apple, “VoiceOver”, available at <http://www.apple.com/accessibility/voiceover/>, Feb. 2009, 5 pages.
Apple Computer, Inc., “Apple—iPod—Technical Specifications, iPod 20GB and 60GB Mac + PC”, available at <http://www.apple.com/ipod/color/specs.html>, 2005, 3 pages.
International Search Report and Written Opinion received for PCT Patent Application No. PCT/US2013/041225, dated on Aug. 23, 2013, 3 pages. (International Search Report only).
Invitation to Pay Additional Fees received for PCT Patent Application No. PCT/US2013/047659, dated Feb. 27, 2014, 7 pages.
Invitation to Pay Additional Fees received for PCT Application No. PCT/US2013/052558, dated Nov. 7, 2013, 6 pages.

Related Publications (1)

	Number	Date	Country
	20150348533 A1	Dec 2015	US

Provisional Applications (1)

	Number	Date	Country
	62005886	May 2014	US

Domain specific language for encoding assistant dialog

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