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8,639,507 | 1 | 3 | 1. A voice recognition system which recognizes keywords included in input voice, comprising: a first voice recognition processing means for generating a recognition hypothesis graph which indicates a structure of hypothesis that is derived according to a first grammar together with a score associated with respective connections of a recognition unit by executing a voice recognition process based on said first grammar to a voice feature amount of input voice; and a second voice recognition processing means for outputting a recognition result from total score of a hypothesis which is derived according to a second grammar after acquiring said structure and said score of said garbage section from said recognition hypothesis graph, and executing a voice recognition process according to said second grammar that is specified to accept a section other than keywords in input voice as a garbage section to a voice feature amount of input voice, wherein said second voice recognition processing means, to said hypothesis reached to said garbage section in said second grammar, selects no smaller than one voice section having a node which can connected with said hypothesis as a starting point in said recognition hypothesis graph, and connects said structure and said score of a selected voice section with said hypothesis as said structure and said score of said garbage section. | 1. A voice recognition system which recognizes keywords included in input voice, comprising: a first voice recognition processing means for generating a recognition hypothesis graph which indicates a structure of hypothesis that is derived according to a first grammar together with a score associated with respective connections of a recognition unit by executing a voice recognition process based on said first grammar to a voice feature amount of input voice; and a second voice recognition processing means for outputting a recognition result from total score of a hypothesis which is derived according to a second grammar after acquiring said structure and said score of said garbage section from said recognition hypothesis graph, and executing a voice recognition process according to said second grammar that is specified to accept a section other than keywords in input voice as a garbage section to a voice feature amount of input voice, wherein said second voice recognition processing means, to said hypothesis reached to said garbage section in said second grammar, selects no smaller than one voice section having a node which can connected with said hypothesis as a starting point in said recognition hypothesis graph, and connects said structure and said score of a selected voice section with said hypothesis as said structure and said score of said garbage section. 3. The voice recognition system according to claim 1 , wherein said second voice recognition processing means selects said voice section having a node which can be a vocabulary word termination as a ending point in a language of input voice when selecting said voice section which is connected with said hypothesis that reached said garbage section from said recognition hypothesis graph. | 0.656637 |
7,490,092 | 36 | 42 | 36. A method of indexing and searching timed media files, as recited in claim 35 , wherein said processing of language that is spoken within the timed media file includes analyzing the logical structure of the language. | 36. A method of indexing and searching timed media files, as recited in claim 35 , wherein said processing of language that is spoken within the timed media file includes analyzing the logical structure of the language. 42. A method of indexing and searching timed media files, as recited in claim 36 , wherein said analysis of the logical structure of the language includes identifying indications of continuation of topic. | 0.908356 |
9,443,209 | 1 | 3 | 1. A system comprising: a memory to store an index comprising a plurality of brand relationships based on an analysis of a collection of user queries, each of the brand relationships comprising a first brand-category pair of a first brand and a first category, a second brand-category pair of a second brand and a second category, and a recommendation score calculated between the first brand-category pair and the second brand-category pair, the recommendation score of each brand relationship determined from user sessions having queries of both the first brand and first category and the second brand and second category; a processor to implement a recommendation module to provide a recommendation based on an identified brand preference from an activity of a user by querying the index in the memory using the first brand and first category of the identified brand preference to identify the second brand-category pair having a highest recommendation score in the index; and an expansion module to expand a seed set of brands corresponding to a category by analyzing the collection of user queries to determine a new brand to add to the seed set, the analyzing including mining a corpus containing a plurality of user queries by evaluating user queries containing a disjunction of brand terms. | 1. A system comprising: a memory to store an index comprising a plurality of brand relationships based on an analysis of a collection of user queries, each of the brand relationships comprising a first brand-category pair of a first brand and a first category, a second brand-category pair of a second brand and a second category, and a recommendation score calculated between the first brand-category pair and the second brand-category pair, the recommendation score of each brand relationship determined from user sessions having queries of both the first brand and first category and the second brand and second category; a processor to implement a recommendation module to provide a recommendation based on an identified brand preference from an activity of a user by querying the index in the memory using the first brand and first category of the identified brand preference to identify the second brand-category pair having a highest recommendation score in the index; and an expansion module to expand a seed set of brands corresponding to a category by analyzing the collection of user queries to determine a new brand to add to the seed set, the analyzing including mining a corpus containing a plurality of user queries by evaluating user queries containing a disjunction of brand terms. 3. The system of claim 1 , wherein the expansion module is further to identify the brand relationship between the first brand and the second brand based on an analysis of the collection of user queries. | 0.722527 |
8,321,402 | 1 | 6 | 1. A method on a back-end computer system for building user interfaces for performing custom searches of a database, where access to the database is restricted based on a role for a user comprising: responsive to receiving at a front-end computer system a name identifying a search definition and the role of the user: determining on the back-end computer system a target database using the name; retrieving result fields from the target database using the name; restricting result fields based on the role of the user, building a search parameter user interface at the back-end computer system for entering values for search parameters, wherein the search parameters are result fields accessible based on the role of the user, transmitting the search parameter user interface to the front-end computer system of the user, receiving the values for the search parameters from the front-end computer system on the back-end computer system, querying the target database using the received values for the search parameters, receiving values for the result fields, building a results user interface at the back-end computer system for viewing the values for the result fields, transmitting the results user interface to the front-end computer system, providing a user interface for the user to define the search parameters, the result fields, and the name of the custom search, and storing the search parameters and result fields indexed by the name for the custom search. | 1. A method on a back-end computer system for building user interfaces for performing custom searches of a database, where access to the database is restricted based on a role for a user comprising: responsive to receiving at a front-end computer system a name identifying a search definition and the role of the user: determining on the back-end computer system a target database using the name; retrieving result fields from the target database using the name; restricting result fields based on the role of the user, building a search parameter user interface at the back-end computer system for entering values for search parameters, wherein the search parameters are result fields accessible based on the role of the user, transmitting the search parameter user interface to the front-end computer system of the user, receiving the values for the search parameters from the front-end computer system on the back-end computer system, querying the target database using the received values for the search parameters, receiving values for the result fields, building a results user interface at the back-end computer system for viewing the values for the result fields, transmitting the results user interface to the front-end computer system, providing a user interface for the user to define the search parameters, the result fields, and the name of the custom search, and storing the search parameters and result fields indexed by the name for the custom search. 6. The method of claim 1 , wherein querying further comprises: transmitting the received values for the search parameters and the result fields to a proprietary database query module. | 0.904588 |
8,504,507 | 10 | 12 | 10. A computer system operable to provide content based on an estimated actual age, the system comprising: a communications device operable to exchange information over a communications network; a memory storing program instructions to be executed by a processor; and a processor operable to communicate with the communications device and the memory and to read and execute the program instructions from the memory to perform the following operations: identifying a set of related members for a first member, wherein the first member and each member in the set of related members are members of a social networking website, and wherein each member in the set of related members is connected to the first member in the social network website; examining age information associated with one or more members in the set of related members in the set of related members; when a threshold number of members in the set of related members have an estimated actual age within a certain age range, estimating an actual age of the first member based on the estimated actual age of the members in the set of related members; and providing content to the first member based on the first member's estimated actual age. | 10. A computer system operable to provide content based on an estimated actual age, the system comprising: a communications device operable to exchange information over a communications network; a memory storing program instructions to be executed by a processor; and a processor operable to communicate with the communications device and the memory and to read and execute the program instructions from the memory to perform the following operations: identifying a set of related members for a first member, wherein the first member and each member in the set of related members are members of a social networking website, and wherein each member in the set of related members is connected to the first member in the social network website; examining age information associated with one or more members in the set of related members in the set of related members; when a threshold number of members in the set of related members have an estimated actual age within a certain age range, estimating an actual age of the first member based on the estimated actual age of the members in the set of related members; and providing content to the first member based on the first member's estimated actual age. 12. The computer system of claim 10 , wherein the content includes one or more of: advertisements and messages. | 0.815615 |
9,866,536 | 4 | 5 | 4. The method of claim 1 , wherein the request comprises a request for encrypted information related to a domain name. | 4. The method of claim 1 , wherein the request comprises a request for encrypted information related to a domain name. 5. The method of claim 4 , wherein the at least one tokenized string is contained in the store of tokenized strings, and further comprising determining that the encrypted information is available, and returning the encrypted information. | 0.925891 |
9,378,299 | 11 | 12 | 11. The system of claim 10 further comprising program code for: calculating a score for a candidate page in the set, the score indicating a measure of how interesting the candidate page is likely to be to a user of the client. | 11. The system of claim 10 further comprising program code for: calculating a score for a candidate page in the set, the score indicating a measure of how interesting the candidate page is likely to be to a user of the client. 12. The system of claim 11 wherein program code for calculating the score for the candidate page comprises program code for: retrieving extrinsic components including a measurement of a number of quality of interactions with the candidate page by a plurality of users of the electronic document; and calculating the score responsive to the extrinsic components of the candidate page. | 0.816042 |
9,858,269 | 1 | 3 | 1. A computer-implemented method for Chinese name transliteration, by a Chinese transliterator, into a Romanized form of the Chinese name, wherein the Chinese transliteration module includes a standardized transliteration module, comprising: receiving, by the transliterator, a sequence of characters representing a Chinese surname and a Chinese given name; parsing, by a name parsing module of the transliterator, the received sequence of characters into a Chinese surname and a Chinese given name by: first, identifying any dual-character Chinese surnames in the received sequence of characters, by referencing a list of known Chinese surnames, second, identifying any single-character Chinese surnames in the received sequence of characters, by referencing the list of known Chinese surnames, and third, identifying, all remaining characters not belonging to a dual-character or a single-character Chinese surname in the received sequence of characters as a given name; transliterating, by a transliteration module of the transliterator, the identified Chinese surname and the identified Chinese given name into a Mandarin Pinyin representation, wherein transliterating further comprises: determining whether a pronunciation of a character is sensitive to the name field in which the character occurs, in response to determining that the pronunciation of the character is not sensitive to the name field, transliterating the character using a Han-Latin module, and in response to determining that the pronunciation of the character is sensitive to the name field, bypassing the Han-Latin module and using a context-sensitive exception rule; and normalizing, by a normalization module of the transliterator, the Mandarin Pinyin representation into a Mandarin Pinyin representation having no diacritic symbols. | 1. A computer-implemented method for Chinese name transliteration, by a Chinese transliterator, into a Romanized form of the Chinese name, wherein the Chinese transliteration module includes a standardized transliteration module, comprising: receiving, by the transliterator, a sequence of characters representing a Chinese surname and a Chinese given name; parsing, by a name parsing module of the transliterator, the received sequence of characters into a Chinese surname and a Chinese given name by: first, identifying any dual-character Chinese surnames in the received sequence of characters, by referencing a list of known Chinese surnames, second, identifying any single-character Chinese surnames in the received sequence of characters, by referencing the list of known Chinese surnames, and third, identifying, all remaining characters not belonging to a dual-character or a single-character Chinese surname in the received sequence of characters as a given name; transliterating, by a transliteration module of the transliterator, the identified Chinese surname and the identified Chinese given name into a Mandarin Pinyin representation, wherein transliterating further comprises: determining whether a pronunciation of a character is sensitive to the name field in which the character occurs, in response to determining that the pronunciation of the character is not sensitive to the name field, transliterating the character using a Han-Latin module, and in response to determining that the pronunciation of the character is sensitive to the name field, bypassing the Han-Latin module and using a context-sensitive exception rule; and normalizing, by a normalization module of the transliterator, the Mandarin Pinyin representation into a Mandarin Pinyin representation having no diacritic symbols. 3. The method of claim 1 , wherein the name parsing is applied only when the received sequence of characters is six characters or shorter in length. | 0.626263 |
9,269,097 | 19 | 21 | 19. The method of claim 1 , further comprising: facilitating, by the computer system, delivery of the product or service responsive to determining that the pronoun refers to one or more of the product or service or the provider of the product or service. | 19. The method of claim 1 , further comprising: facilitating, by the computer system, delivery of the product or service responsive to determining that the pronoun refers to one or more of the product or service or the provider of the product or service. 21. The method of claim 19 , wherein the product or service comprises a particular product, and wherein facilitating delivery of the product or service includes providing the particular product to a user device of the user. | 0.906538 |
5,577,163 | 3 | 4 | 3. A speech categorization system for recognizing at least one spoken itemized expression appearing in a communication, comprising: an amplifier receiving said communication and amplifying said speech to produce a speech signal; a comparator connected to said amplifier, said comparator comparing the speech signal to a threshold value and generating a high amplitude signal when the speech signal is greater than the threshold value and generating a low amplitude signal when said speech signal is less than the threshold value; a timer for counting the duration of the high amplitude signal and the duration of the low amplitude signal; and means for determining if a spoken itemized expression has occurred by relating the duration of the high amplitude signal and the duration of the low amplitude signal. | 3. A speech categorization system for recognizing at least one spoken itemized expression appearing in a communication, comprising: an amplifier receiving said communication and amplifying said speech to produce a speech signal; a comparator connected to said amplifier, said comparator comparing the speech signal to a threshold value and generating a high amplitude signal when the speech signal is greater than the threshold value and generating a low amplitude signal when said speech signal is less than the threshold value; a timer for counting the duration of the high amplitude signal and the duration of the low amplitude signal; and means for determining if a spoken itemized expression has occurred by relating the duration of the high amplitude signal and the duration of the low amplitude signal. 4. A system as in claim 3, wherein said determining means produces an output signal indicative of a spoken itemized expression when the duration of the high amplitude signal is less than the duration of the low amplitude signal. | 0.837838 |
9,536,281 | 1 | 2 | 1. A method for image scaling including low resolution text areas, the method comprising: determining, by one or more processors, one or more areas of text in an image to be scaled for display on a screen; scaling, by one or more processors, the one or more areas of text using two or more scaling algorithms to a required resolution to acquire two or more scaled versions of the text area; selecting a clearest text in a text area from two or more scaled versions of the text area to create an overall image; removing, by one or more processors, one or more identified text areas from the overall image displayed on the screen; filling in, by one or more processors, the removed one or more identified text areas with an image matching a background area surrounding an area from which the identified text is removed; marking, by one or more processors, an area of the removed one or more identified text areas with a distinguishing color before filling with a matching overall image; scaling, by one or more processors, the overall image to the required resolution; applying, by one or more processors, shaders to a scaled overall image prior to merging the scaled overall image with selected versions of each text area; merging, by one or more processors, the scaled overall image with the selected scaled version of each text area to create a merged image; and displaying, by one or more processors, the merged image on the screen. | 1. A method for image scaling including low resolution text areas, the method comprising: determining, by one or more processors, one or more areas of text in an image to be scaled for display on a screen; scaling, by one or more processors, the one or more areas of text using two or more scaling algorithms to a required resolution to acquire two or more scaled versions of the text area; selecting a clearest text in a text area from two or more scaled versions of the text area to create an overall image; removing, by one or more processors, one or more identified text areas from the overall image displayed on the screen; filling in, by one or more processors, the removed one or more identified text areas with an image matching a background area surrounding an area from which the identified text is removed; marking, by one or more processors, an area of the removed one or more identified text areas with a distinguishing color before filling with a matching overall image; scaling, by one or more processors, the overall image to the required resolution; applying, by one or more processors, shaders to a scaled overall image prior to merging the scaled overall image with selected versions of each text area; merging, by one or more processors, the scaled overall image with the selected scaled version of each text area to create a merged image; and displaying, by one or more processors, the merged image on the screen. 2. The method as claimed in claim 1 , wherein one of the scaling algorithms is a linear algorithm for scaling the original text. | 0.875969 |
7,979,375 | 20 | 21 | 20. A method as recited in claim 16 , wherein the tradeoff value corresponds to an ideal profile for required goods and the ranked list of alternatives corresponds to bids. | 20. A method as recited in claim 16 , wherein the tradeoff value corresponds to an ideal profile for required goods and the ranked list of alternatives corresponds to bids. 21. A method as recited in claim 20 , further comprising: receiving bid information from at least two bidders, generating a heterogeneous matrix of alternatives and attributes based on the bid information, scoring the bids according to the homogenous matrix of scores, wherein the ranked list of alternatives comprises the bid information. | 0.841589 |
4,604,698 | 1 | 3 | 1. An electronic translator comprising: means for introducing a word of a first language, said introduced word having more than one meaning; means for translating said introduced word into a second language word having a same said meaning as said introduced word, said introduced word; means for retranslating said translated word back to said first language word to provide a retranslated word; means for providing a comment representative of the said meaning in said second language of said retranslated word in said first language; and means for indicating said introduced word, said translated word, said retranslated word, and said comment. | 1. An electronic translator comprising: means for introducing a word of a first language, said introduced word having more than one meaning; means for translating said introduced word into a second language word having a same said meaning as said introduced word, said introduced word; means for retranslating said translated word back to said first language word to provide a retranslated word; means for providing a comment representative of the said meaning in said second language of said retranslated word in said first language; and means for indicating said introduced word, said translated word, said retranslated word, and said comment. 3. An electronic translator according to claim 1, further comprising means for marking said introduced word to indicate the availabilities of another said meaning of said introduced word, and means for recalling said marked introducing word. | 0.899917 |
9,274,646 | 1 | 4 | 1. An apparatus, comprising least one processor and at least one memory including computer program code, the memory and the computer program code configured to, working with the processor, cause the apparatus to perform at least the following: receive a multiple touch input comprising a first touch input having a first text position within a first word such that the first text position is a text position between a first character of the first word and a last letter of the first word, and a second touch input having a second text position such that the second text position is a text position between a first character of a second word and a last letter of the second word; determine a first text selection point positioned outside of the first word based at least in part on the first text position being within the first word, such that the first text selection point is at least one of a text position preceding a first character of the first word, or a text position following a last letter of the first word; determine a second text selection point positioned outside of the second word based at least in part on the second text position, such that the second text selection point is at least one of a text position preceding a first character of the second word, or a text position following a last letter of the second word; and select text information between the first text selection point and the second text selection point. | 1. An apparatus, comprising least one processor and at least one memory including computer program code, the memory and the computer program code configured to, working with the processor, cause the apparatus to perform at least the following: receive a multiple touch input comprising a first touch input having a first text position within a first word such that the first text position is a text position between a first character of the first word and a last letter of the first word, and a second touch input having a second text position such that the second text position is a text position between a first character of a second word and a last letter of the second word; determine a first text selection point positioned outside of the first word based at least in part on the first text position being within the first word, such that the first text selection point is at least one of a text position preceding a first character of the first word, or a text position following a last letter of the first word; determine a second text selection point positioned outside of the second word based at least in part on the second text position, such that the second text selection point is at least one of a text position preceding a first character of the second word, or a text position following a last letter of the second word; and select text information between the first text selection point and the second text selection point. 4. The apparatus of claim 1 , wherein the memory includes computer program code configured to, working with the processor, cause the apparatus to determine the first text selection point based at least in part on a text distance between the first text position and a text position related to a beginning of a word. | 0.801517 |
10,007,648 | 13 | 14 | 13. The method according to claim 12 , further comprising: referencing the screen character string control table, and inserting the master table identifier associated with the incorporating screen character string into the user-interface by associating with the character string. | 13. The method according to claim 12 , further comprising: referencing the screen character string control table, and inserting the master table identifier associated with the incorporating screen character string into the user-interface by associating with the character string. 14. The method according to claim 13 , further comprising: recording a translated character strings, into the screen character string control table, wherein the screen character string control table includes a set of the master identifiers associated with the character string before modification; associating the translated screen character strings with respective master identifiers that are associated with the character strings corresponding to the translated screen character strings; associating the category information associated with the character strings before modification with the corresponding translated screen character strings; associating the first appearance positional information associated with the character strings before modification with the corresponding translated screen character strings; and associating the second appearance positional information associated with the screen character strings before modification with the corresponding translated screen character strings; and wherein maintaining consistency comprises replacing the character string before modification that is associated with the acquired second appearance positional information with the translated screen character string. | 0.778582 |
9,313,153 | 20 | 38 | 20. An apparatus for dynamic message routing between publishing nodes and subscribing nodes sent throughout a network without regard to how a topology of the network changes, the apparatus comprising: a processor; and a memory, coupled to the processor, having code and data stored therein, wherein the code is executable by the processor to transform the apparatus into a machine to: receive a plurality of subscription requests at a plurality of brokers; consolidate the received plurality of subscription requests; determining whether to propagate the consolidated subscriptions requests; receive the message and a topic at a broker via a network; identify one or more subscribers for the topic received; obtain up-to-date network path configuration information; reconfigure broker network path information based on revisions to the network path configuration information to determine a path for sending the message via the network, including performing real-time adjustment of the path; and sending the message to the identified subscribers; wherein to perform real-time adjustment of the path comprises to: monitor changes to the topology of the network; determine in real-time whether any connections within the network are unavailable to dynamically maintain subscriptions; and automatically calculate a path for any subscribers affected by any unavailable connections. | 20. An apparatus for dynamic message routing between publishing nodes and subscribing nodes sent throughout a network without regard to how a topology of the network changes, the apparatus comprising: a processor; and a memory, coupled to the processor, having code and data stored therein, wherein the code is executable by the processor to transform the apparatus into a machine to: receive a plurality of subscription requests at a plurality of brokers; consolidate the received plurality of subscription requests; determining whether to propagate the consolidated subscriptions requests; receive the message and a topic at a broker via a network; identify one or more subscribers for the topic received; obtain up-to-date network path configuration information; reconfigure broker network path information based on revisions to the network path configuration information to determine a path for sending the message via the network, including performing real-time adjustment of the path; and sending the message to the identified subscribers; wherein to perform real-time adjustment of the path comprises to: monitor changes to the topology of the network; determine in real-time whether any connections within the network are unavailable to dynamically maintain subscriptions; and automatically calculate a path for any subscribers affected by any unavailable connections. 38. The apparatus of claim 20 , wherein the code is further executable by the processor to: identify a cluster to which to send the message; wherein to determine a path to send the message includes determining a best path for sending the message to the identified cluster; and wherein to send the message is performed by sending the message to the identified cluster using the best path for to the message to the identified cluster. | 0.501155 |
8,291,377 | 1 | 12 | 1. A method for identifying a particular processing context for running script in a computing system such that the default context is modified, the method comprising: at a computing system, using one or more processors to: access a script, wherein the script is just a portion of a script pipelined command: interpret a script to identify a plurality of executable components to invoke, wherein the plurality of executable components have a default context in which they are each run within a first process; identify one or more properties of a first of the plurality of identified executable components, the one or more properties being contained within the script; identify one or more processing context configuration files associated with the first of the plurality of identified executable components by using the one or more properties, the one or more processing context configuration files being separate from the script; and use the one or more processing context configuration files to identify a processing context for the identified first executable component, wherein the identified processing context for the first executable component is different than the default context and defines a modified context in which the first executable component is removed from the first process and is run within a second process that is different than the first process and wherein a particular version of an interpreter is required to run any process in which the first executable component is run. | 1. A method for identifying a particular processing context for running script in a computing system such that the default context is modified, the method comprising: at a computing system, using one or more processors to: access a script, wherein the script is just a portion of a script pipelined command: interpret a script to identify a plurality of executable components to invoke, wherein the plurality of executable components have a default context in which they are each run within a first process; identify one or more properties of a first of the plurality of identified executable components, the one or more properties being contained within the script; identify one or more processing context configuration files associated with the first of the plurality of identified executable components by using the one or more properties, the one or more processing context configuration files being separate from the script; and use the one or more processing context configuration files to identify a processing context for the identified first executable component, wherein the identified processing context for the first executable component is different than the default context and defines a modified context in which the first executable component is removed from the first process and is run within a second process that is different than the first process and wherein a particular version of an interpreter is required to run any process in which the first executable component is run. 12. A method in accordance with claim 1 , further comprising: instantiating a first interpreter, the first interpreter being specific to the first process; and instantiating a second interpreter, the second interpreter being specific to the second process, such that the first and second processes each have their own interpreters. | 0.850766 |
7,788,248 | 46 | 47 | 46. A machine-implemented method comprising: receiving text input within an integrated search field of a web browser application, through a hardware input device; determining, based on characteristics of the text input, whether the text input triggers an automatic submission of a query to a search engine; determining, based on characteristics of the text input, whether to delay the trigger for automatic submission, wherein the query is automatically submitted to the search engine if the text input satisfies a temporal trigger, wherein the temporal trigger is based upon a connection speed to the search engine; automatically submitting the query to the search engine, the query based on the received search input; displaying, within the web browser application, a web page returned from the search engine based on the query; and automatically maintaining a focus within the integrated search field after the returned web page is displayed, the focus designating where the text input is directed. | 46. A machine-implemented method comprising: receiving text input within an integrated search field of a web browser application, through a hardware input device; determining, based on characteristics of the text input, whether the text input triggers an automatic submission of a query to a search engine; determining, based on characteristics of the text input, whether to delay the trigger for automatic submission, wherein the query is automatically submitted to the search engine if the text input satisfies a temporal trigger, wherein the temporal trigger is based upon a connection speed to the search engine; automatically submitting the query to the search engine, the query based on the received search input; displaying, within the web browser application, a web page returned from the search engine based on the query; and automatically maintaining a focus within the integrated search field after the returned web page is displayed, the focus designating where the text input is directed. 47. The method of claim 46 , further comprising preventing the returned web page from controlling the focus. | 0.936694 |
9,773,336 | 1 | 2 | 1. A system, comprising: at least one processor; and a memory coupled to the at least one processor and storing program instructions-executable by the at least one processor to perform operations including: displaying, via a graphical user interface, a representation of a document including an animation that is renderable by executing programmatic elements of the document to manipulate a structure of the document; displaying the document in a natural state that corresponds to an initial point of the animation and represents a version of the document that a search engine configured to analyze only static structural elements of a document encounters during a search; rendering the animation starting from the initial point of the animation by executing programmatic elements of the document; responsive to receiving a selection of a point of the animation that occurs in between the initial point of the animation and an end point of the animation, designating the selected point of the animation as a new base state of the document; altering the version of the document that the search engine encounters during a search to correspond to the new base state without changing the natural state of the document such that any subsequent rendering of the animation still starts from the initial point of the animation that corresponds to the natural state; and maintaining the natural state of the document and the new base state so that any subsequent rendering of the animation starts from the initial point of the animation while the version of the document that the search engine encounters during a search corresponds to the selected point of the animation that occurs in between the initial point of the animation and the end point of the animation. | 1. A system, comprising: at least one processor; and a memory coupled to the at least one processor and storing program instructions-executable by the at least one processor to perform operations including: displaying, via a graphical user interface, a representation of a document including an animation that is renderable by executing programmatic elements of the document to manipulate a structure of the document; displaying the document in a natural state that corresponds to an initial point of the animation and represents a version of the document that a search engine configured to analyze only static structural elements of a document encounters during a search; rendering the animation starting from the initial point of the animation by executing programmatic elements of the document; responsive to receiving a selection of a point of the animation that occurs in between the initial point of the animation and an end point of the animation, designating the selected point of the animation as a new base state of the document; altering the version of the document that the search engine encounters during a search to correspond to the new base state without changing the natural state of the document such that any subsequent rendering of the animation still starts from the initial point of the animation that corresponds to the natural state; and maintaining the natural state of the document and the new base state so that any subsequent rendering of the animation starts from the initial point of the animation while the version of the document that the search engine encounters during a search corresponds to the selected point of the animation that occurs in between the initial point of the animation and the end point of the animation. 2. The system of claim 1 , wherein the document includes a HyperText Markup Language (HTML) document, and wherein the operations further include, responsive to said altering, recalculating a scripting language command for the document such that upon loading of the document by a web browser, the document is rendered based on the natural state. | 0.698774 |
7,689,938 | 1 | 6 | 1. A method of displaying in a calculator, comprising: receiving a first mathematical expression in an expression entry area on the calculator; displaying results in a first window on the calculator, wherein the results displayed in the first window comprise a result for the first mathematical expression; displaying, in a second window on the calculator, a usage history comprising the first mathematical expression, a second mathematical expression, and results displayed in the second window, wherein the results displayed in the second window comprise the result for the first mathematical expression and a result for the second mathematical expression, wherein the usage history is displayed in a hierarchical tree such that a result for a given mathematical expression is displayed in the second window on a different hierarchical level than the given mathematical expression; and displaying organizational tabs for the second window, wherein each organizational tab is operable to display a given category of data associated with the usage history, and wherein the results in the first window and the results in the second window are displayed simultaneously. | 1. A method of displaying in a calculator, comprising: receiving a first mathematical expression in an expression entry area on the calculator; displaying results in a first window on the calculator, wherein the results displayed in the first window comprise a result for the first mathematical expression; displaying, in a second window on the calculator, a usage history comprising the first mathematical expression, a second mathematical expression, and results displayed in the second window, wherein the results displayed in the second window comprise the result for the first mathematical expression and a result for the second mathematical expression, wherein the usage history is displayed in a hierarchical tree such that a result for a given mathematical expression is displayed in the second window on a different hierarchical level than the given mathematical expression; and displaying organizational tabs for the second window, wherein each organizational tab is operable to display a given category of data associated with the usage history, and wherein the results in the first window and the results in the second window are displayed simultaneously. 6. The method of claim 1 , wherein the given mathematical expression is displayed on a parent level and the result for the given mathematical expression is displayed on a child level under the given mathematical expression. | 0.800893 |
10,026,393 | 1 | 2 | 1. A system that converts text to speech, the system comprising: a response engine to generate a response text and a response intent based on user input; a non-lexical cue insertion engine to: receive the response text and the response intent representative of intended meaning to be conveyed by non-lexical cues; determine insertion points of non-lexical cues based on the received response intent; and insert a non-lexical cue at the insertion point within the response text to generate augmented text; and a speech synthesizer to synthesize speech from the augmented text using speech units associated with the response text and the inserted response intent. | 1. A system that converts text to speech, the system comprising: a response engine to generate a response text and a response intent based on user input; a non-lexical cue insertion engine to: receive the response text and the response intent representative of intended meaning to be conveyed by non-lexical cues; determine insertion points of non-lexical cues based on the received response intent; and insert a non-lexical cue at the insertion point within the response text to generate augmented text; and a speech synthesizer to synthesize speech from the augmented text using speech units associated with the response text and the inserted response intent. 2. The system of claim 1 , further comprising a response engine to analyze the user input and the user input intent, and to select the response text and the response intent based on the user input and the user input intent. | 0.811655 |
10,061,850 | 1 | 8 | 1. A method comprising: at a server having one or more processors and memory storing programs executable by the processors, receiving from a first user a query for one or more items of interest, the query including at least one search term; obtaining and storing results responsive to the query; after obtaining and storing the results responsive to the query: receiving from the first user a separate navigational query for a first website, wherein the navigational query includes a first identifier of the first web site, and wherein the at least one search term is absent from the navigational query; and in response to receiving the navigational query, when the query is a recent query, obtaining the at least one search term from the recent query and executing an alternate query of the first web site to yield alternate search results responsive to the alternate query within a domain of the first website, the alternate query including the at least one search term and the navigational query; and formatting for display and transmitting to the first user the alternate search results, at least one top ranking navigational search result, and at least one remaining navigational search result, wherein the at least one top ranking navigational search result, the alternate search results, and the at least one remaining navigational search result are associated with a priority attribute that indicates a priority level for display, wherein a first priority attribute is associated with the at least one top ranking navigational search result and indicates that the at least one top ranking navigational search result is to be displayed above other search results displayed on a search result page, a second priority attribute is associated with the alternate query search result and indicates that the alternate query search result is to be displayed below the at least one top ranking navigational search result in the search result page, and a third priority attribute is associated with the at least one remaining navigational search result and indicates that the at least one remaining navigational search result is to be displayed below the alternate query search result in the search result page, the first priority attribute having a highest priority level and the third priority attribute having a lowest priority level. | 1. A method comprising: at a server having one or more processors and memory storing programs executable by the processors, receiving from a first user a query for one or more items of interest, the query including at least one search term; obtaining and storing results responsive to the query; after obtaining and storing the results responsive to the query: receiving from the first user a separate navigational query for a first website, wherein the navigational query includes a first identifier of the first web site, and wherein the at least one search term is absent from the navigational query; and in response to receiving the navigational query, when the query is a recent query, obtaining the at least one search term from the recent query and executing an alternate query of the first web site to yield alternate search results responsive to the alternate query within a domain of the first website, the alternate query including the at least one search term and the navigational query; and formatting for display and transmitting to the first user the alternate search results, at least one top ranking navigational search result, and at least one remaining navigational search result, wherein the at least one top ranking navigational search result, the alternate search results, and the at least one remaining navigational search result are associated with a priority attribute that indicates a priority level for display, wherein a first priority attribute is associated with the at least one top ranking navigational search result and indicates that the at least one top ranking navigational search result is to be displayed above other search results displayed on a search result page, a second priority attribute is associated with the alternate query search result and indicates that the alternate query search result is to be displayed below the at least one top ranking navigational search result in the search result page, and a third priority attribute is associated with the at least one remaining navigational search result and indicates that the at least one remaining navigational search result is to be displayed below the alternate query search result in the search result page, the first priority attribute having a highest priority level and the third priority attribute having a lowest priority level. 8. The method of claim 1 , further comprising receiving a plurality of the recent queries included in most recent N queries received from the user, wherein N is a predefined number. | 0.888957 |
8,204,213 | 1 | 10 | 1. A processor-implemented method of performing a similarity measure of a plurality of privacy-protected data, comprising: selecting, in a processor, a first value and a first context related to one or more attributes of the first value; dividing, in the processor, the first value into a first plurality of substrings in an order preserving way; processing, in the processor, each substring of the first plurality of substrings through an obfuscation function to produce a first plurality of order preserved obfuscated substrings; selecting, in the processor, a second value and a second context related to one or more attributes of the second value; dividing, in the processor, the second value into a second plurality of substrings in the order preserving way; processing, in the processor, each substring of the second plurality of substrings through the obfuscation function to produce a second plurality of order preserved obfuscated substrings; comparing, in the processor, the first and second plurality of order preserved obfuscated substrings, and determining a value similarity measure for a comparison of the first and second values based on the comparison of the first and second plurality of order preserved obfuscated substrings; comparing, in the processor, the first context and the second context, and determining a context similarity measure for the first context and the second context based on the comparison of the first and second contexts, wherein the context similarity measure indicates a validity of the comparison between the first and second values; and determining a closeness degree between the first and second values from the context similarity measure and the value similarity measure. | 1. A processor-implemented method of performing a similarity measure of a plurality of privacy-protected data, comprising: selecting, in a processor, a first value and a first context related to one or more attributes of the first value; dividing, in the processor, the first value into a first plurality of substrings in an order preserving way; processing, in the processor, each substring of the first plurality of substrings through an obfuscation function to produce a first plurality of order preserved obfuscated substrings; selecting, in the processor, a second value and a second context related to one or more attributes of the second value; dividing, in the processor, the second value into a second plurality of substrings in the order preserving way; processing, in the processor, each substring of the second plurality of substrings through the obfuscation function to produce a second plurality of order preserved obfuscated substrings; comparing, in the processor, the first and second plurality of order preserved obfuscated substrings, and determining a value similarity measure for a comparison of the first and second values based on the comparison of the first and second plurality of order preserved obfuscated substrings; comparing, in the processor, the first context and the second context, and determining a context similarity measure for the first context and the second context based on the comparison of the first and second contexts, wherein the context similarity measure indicates a validity of the comparison between the first and second values; and determining a closeness degree between the first and second values from the context similarity measure and the value similarity measure. 10. The method of claim 1 , further comprising indicating whether the first and second values are unrelated based on a percentage of similarity. | 0.84141 |
9,836,456 | 12 | 14 | 12. A computer-implemented method, comprising: capturing, by a camera in electronic communication with a computing system having one or more processors, a first image of an object comprising a text in a source language; receiving, at the computing system and from the camera, the first image; performing, by the computing system, optical character recognition (OCR) on the first image to obtain a set of possible OCR texts, wherein each possible OCR text has a corresponding OCR score indicative of a degree of likelihood that the possible OCR text is the text; selecting, by the computing system, the possible OCR text having a highest corresponding OCR score relative to the OCR scores of the other possible OCR texts to obtain an OCR text; and when the OCR score of the OCR text is less than an OCR score threshold indicative of an acceptable degree of likelihood: outputting, by the computing system, a user instruction to capture a set of second images of at least a portion of the object using the camera; adjusting, by the computing system, an intensity of a light source while capturing, by the camera, the second set of images to increase a likelihood that an OCR score of a modified OCR text corresponding to the text and obtained from at least one of the second set of images will achieve the OCR score threshold, the light source being in electronic communication with at least one of the camera and the computing system; receiving, at the computing system and from the camera, the set of second images; performing, by the computing system, OCR on the at least one of the set of second images to obtain the modified OCR text; and outputting, by the computing system, the modified OCR text. | 12. A computer-implemented method, comprising: capturing, by a camera in electronic communication with a computing system having one or more processors, a first image of an object comprising a text in a source language; receiving, at the computing system and from the camera, the first image; performing, by the computing system, optical character recognition (OCR) on the first image to obtain a set of possible OCR texts, wherein each possible OCR text has a corresponding OCR score indicative of a degree of likelihood that the possible OCR text is the text; selecting, by the computing system, the possible OCR text having a highest corresponding OCR score relative to the OCR scores of the other possible OCR texts to obtain an OCR text; and when the OCR score of the OCR text is less than an OCR score threshold indicative of an acceptable degree of likelihood: outputting, by the computing system, a user instruction to capture a set of second images of at least a portion of the object using the camera; adjusting, by the computing system, an intensity of a light source while capturing, by the camera, the second set of images to increase a likelihood that an OCR score of a modified OCR text corresponding to the text and obtained from at least one of the second set of images will achieve the OCR score threshold, the light source being in electronic communication with at least one of the camera and the computing system; receiving, at the computing system and from the camera, the set of second images; performing, by the computing system, OCR on the at least one of the set of second images to obtain the modified OCR text; and outputting, by the computing system, the modified OCR text. 14. The computer-implemented method of claim 12 , further comprising: when the OCR score is less than the OCR score threshold, identifying, by the computing system, a portion of the first image causing the OCR score to be less than the OCR score threshold, wherein the user instruction is to capture the set of second images with respect to the identified portion of the first image. | 0.685033 |
8,436,753 | 1 | 2 | 1. A method comprising: reading compressed audio data from a first audio file, the first audio file comprising audio data compressed using a first compression algorithm and bookkeeping data having a first format, the bookkeeping data specifying a location of the compressed audio data within the first audio file; and generating a universal representation of the first audio file without decompressing and recompressing the audio data, the universal representation having bookkeeping data of a second format specifying the location of compressed audio data within the universal representation. | 1. A method comprising: reading compressed audio data from a first audio file, the first audio file comprising audio data compressed using a first compression algorithm and bookkeeping data having a first format, the bookkeeping data specifying a location of the compressed audio data within the first audio file; and generating a universal representation of the first audio file without decompressing and recompressing the audio data, the universal representation having bookkeeping data of a second format specifying the location of compressed audio data within the universal representation. 2. The method as in claim 1 wherein generating the universal representation comprises: packing the audio data compressed using the first compression algorithm into a plurality of sample buffers. | 0.891741 |
8,214,390 | 17 | 23 | 17. The non-transitory computer-readable medium of claim 14 , further comprising instructions for: generating a second set of bits based on the first set of bits wherein the second set of bits conveys at least the same information as the first set of bits; associating the second set of bits with a second version identifier that identifies a second format that is different than the first format; wherein the second set of bits comprises a second plurality of distinct subsets of bits: wherein each subset of bits of the second plurality of distinct subsets of bits corresponds to a different topic of a second set of topics; and wherein a topic represented in each of the second plurality of distinct subsets of bits, respectively, is determined according to the second format. | 17. The non-transitory computer-readable medium of claim 14 , further comprising instructions for: generating a second set of bits based on the first set of bits wherein the second set of bits conveys at least the same information as the first set of bits; associating the second set of bits with a second version identifier that identifies a second format that is different than the first format; wherein the second set of bits comprises a second plurality of distinct subsets of bits: wherein each subset of bits of the second plurality of distinct subsets of bits corresponds to a different topic of a second set of topics; and wherein a topic represented in each of the second plurality of distinct subsets of bits, respectively, is determined according to the second format. 23. The non-transitory computer-readable medium of claim 17 , further comprising instructions for: identifying a third subset of bits of the second set of bits that represents the first topic; and causing the third subset of bits to represent a value that is proportional to a value represented by the first subset of bits. | 0.911893 |
4,763,278 | 1 | 14 | 1. A method for recognizing speech independent of the speaker thereof, said method comprising: receiving an analog input speech signal; conditioning said analog speech signal to produce a sequence of rectangular waveforms of polarity signs alternating between plus and minus polarities as a digital waveform signal; counting the number of polarity transitions in the digital waveform signal to obtain a zero-crossing count for each frame of the digital waveform signal; measuring the time duration intervals between zero-crossings of the digital waveform signal; providing a sequence of binary feature vectors based upon the measurements of the time duration intervals between zero-crossings of the digital waveform signal and corresponding to respective frames of the digital waveform signal; providing a vocabulary consisting of a relatively small number of words, wherein each of the words included in the vocabulary is represented by a plurality of binary reference vectors which have been organized in sequences with each of said binary reference vector sequences corresponding to a word acoustically distinct from the other words included in the vocabulary; comparing each of said binary feature vectors with each of said plurality of binary reference vectors; determining a distance measure with respect to each of said binary reference vectors for each successive binary feature vector in said sequence of binary feature vectors in response to the comparison therebetween; and recognizing words in accordance with the distance measures between each of said binary reference vector sequences and successively received binary feature vectors corresponding to respective frames of the digital waveform signal. | 1. A method for recognizing speech independent of the speaker thereof, said method comprising: receiving an analog input speech signal; conditioning said analog speech signal to produce a sequence of rectangular waveforms of polarity signs alternating between plus and minus polarities as a digital waveform signal; counting the number of polarity transitions in the digital waveform signal to obtain a zero-crossing count for each frame of the digital waveform signal; measuring the time duration intervals between zero-crossings of the digital waveform signal; providing a sequence of binary feature vectors based upon the measurements of the time duration intervals between zero-crossings of the digital waveform signal and corresponding to respective frames of the digital waveform signal; providing a vocabulary consisting of a relatively small number of words, wherein each of the words included in the vocabulary is represented by a plurality of binary reference vectors which have been organized in sequences with each of said binary reference vector sequences corresponding to a word acoustically distinct from the other words included in the vocabulary; comparing each of said binary feature vectors with each of said plurality of binary reference vectors; determining a distance measure with respect to each of said binary reference vectors for each successive binary feature vector in said sequence of binary feature vectors in response to the comparison therebetween; and recognizing words in accordance with the distance measures between each of said binary reference vector sequences and successively received binary feature vectors corresponding to respective frames of the digital waveform signal. 14. The method of claim 1, wherein said conditioning step includes the performance of an operation corresponding to differentiation of said analog input speech signal. | 0.947682 |
9,275,139 | 12 | 15 | 12. A system to search audio data, comprising: a receiver configured to receive audio data representing speech; a receiver configured to receive a search query related to the audio data; a processor configured to compile the search query into a hierarchy of scored speech recognition sub-searches; an audio search engine operating in an audio domain configured to search the audio data for speech identified by one or more of the sub-searches to produce hits; and a processor configured to combine the hits by use of at least one combination function to provide a composite search score of the audio data, wherein at least one of the combination functions comprises an at-least-M-of-N function, wherein the at-least-M-of-N function produces a high score when at least M of N function inputs exceed a predetermined threshold value, wherein the composite search score may be determined in accordance with the following relationship: L ab ( x ) = 1 1 + ⅇ a ( x - b ) , wherein: x comprises a vector of scores associated with the hits; a and b comprise sensitivity vectors; and L ab (x) comprises the composite search score. | 12. A system to search audio data, comprising: a receiver configured to receive audio data representing speech; a receiver configured to receive a search query related to the audio data; a processor configured to compile the search query into a hierarchy of scored speech recognition sub-searches; an audio search engine operating in an audio domain configured to search the audio data for speech identified by one or more of the sub-searches to produce hits; and a processor configured to combine the hits by use of at least one combination function to provide a composite search score of the audio data, wherein at least one of the combination functions comprises an at-least-M-of-N function, wherein the at-least-M-of-N function produces a high score when at least M of N function inputs exceed a predetermined threshold value, wherein the composite search score may be determined in accordance with the following relationship: L ab ( x ) = 1 1 + ⅇ a ( x - b ) , wherein: x comprises a vector of scores associated with the hits; a and b comprise sensitivity vectors; and L ab (x) comprises the composite search score. 15. The system of claim 12 wherein the composite search score comprises an attribute with an associated score and or more associated time intervals. | 0.655814 |
10,158,639 | 9 | 11 | 9. The non-transitory, tangible computer-readable medium of claim 8 , wherein the instructions to generate a redacted credit report template from among the plurality of redacted credit report templates comprises instructions that, when executed by the processor, cause the processor to: open an unredacted credit report, which contains personal information and is formatted in portable document format (PDF), via a first software application; remove the personal information contained in the unredacted credit report via the first software application to generate a redacted credit report in PDF; save the redacted credit report in PDF via the first software application; open the redacted credit report in PDF with a second software application, the second software application being associated with word processing functionality, wherein upon opening the redacted credit report with the second software application, the second software application causes the redacted credit report in PDF to be reflowed and formatted into an editable word processing file; and edit and save the redacted credit report with the second software application to generate the redacted credit report template. | 9. The non-transitory, tangible computer-readable medium of claim 8 , wherein the instructions to generate a redacted credit report template from among the plurality of redacted credit report templates comprises instructions that, when executed by the processor, cause the processor to: open an unredacted credit report, which contains personal information and is formatted in portable document format (PDF), via a first software application; remove the personal information contained in the unredacted credit report via the first software application to generate a redacted credit report in PDF; save the redacted credit report in PDF via the first software application; open the redacted credit report in PDF with a second software application, the second software application being associated with word processing functionality, wherein upon opening the redacted credit report with the second software application, the second software application causes the redacted credit report in PDF to be reflowed and formatted into an editable word processing file; and edit and save the redacted credit report with the second software application to generate the redacted credit report template. 11. The non-transitory, tangible computer-readable medium of claim 9 , further storing machine readable instructions that, when executed by a processor, cause the processor to: compare content included in the portions of the sent email messages as specified by the detection rule to content included in each of the plurality of credit report templates; and calculate, for each comparison made between the content included in portions of the sent email messages and content included in each of the plurality of credit report templates, an initial document exposure score, wherein the initial document exposure score is a scaled percentage that indicates, for a higher percentage value, a greater similarity between the content included in portions of the sent email messages and content included in each of the plurality of credit report templates. | 0.703015 |
9,589,198 | 10 | 11 | 10. A computer system for text input and detection of a keyword within a printed page or a screen, the computer system comprising: a processor; and a memory with computer code instructions stored thereon, the processor and the memory, with the computer code instructions, being configured to cause the system to: detect a plurality of word blocks contained in a captured image of a printed page or a screen; determine candidate keyword blocks among the plurality of word blocks according to a keyword probability determination rule that results in a respective probability value for each word block, wherein the keyword probability determination rule is based at least in part on a spatial analysis of the word blocks relative to at least a portion of the captured image, the spatial analysis being relative to an indication of a user intention of a keyword to obtain for selection and where the candidate keyword blocks are identified among the plurality of word blocks based upon each respective probability value of the candidate keyword blocks being above a threshold; and upon selection of a candidate keyword block, forward content of the selected keyword block as text input to an application. | 10. A computer system for text input and detection of a keyword within a printed page or a screen, the computer system comprising: a processor; and a memory with computer code instructions stored thereon, the processor and the memory, with the computer code instructions, being configured to cause the system to: detect a plurality of word blocks contained in a captured image of a printed page or a screen; determine candidate keyword blocks among the plurality of word blocks according to a keyword probability determination rule that results in a respective probability value for each word block, wherein the keyword probability determination rule is based at least in part on a spatial analysis of the word blocks relative to at least a portion of the captured image, the spatial analysis being relative to an indication of a user intention of a keyword to obtain for selection and where the candidate keyword blocks are identified among the plurality of word blocks based upon each respective probability value of the candidate keyword blocks being above a threshold; and upon selection of a candidate keyword block, forward content of the selected keyword block as text input to an application. 11. The computer system of claim 10 wherein the processor and the memory, with the computer code instructions, are further configured to cause the system to: display the captured image; perform digital image filtering of the captured image that includes at least one of contrast enhancement, shadow compensation, unwarping, and rotation of the captured image to obtain an artifact reduce image with a substantially horizontal text alignment, wherein the detection of the plurality of word blocks is based on the artifact reduced image; perform optical character recognition (OCR) within each word block to obtain its text content; assign an attribute to each candidate keyword block; indicate the candidate keyword blocks in the display by a frame or a background color and display the attributes as overlays within the artifact reduced and displayed image for the selection of the keyword; the selection of the candidate keyword block based on the displayed attribute; and upon the selection of the candidate keyword block, display the text content of the selected candidate keyword block. | 0.500458 |
4,674,066 | 1 | 2 | 1. A digital data processing apparatus for information retrieval, said apparatus comprising A. input means for accepting a signal representative of a search linguistic expression in conventional textual reoresentation. B database storage means for storing signals representative of plural textual expressions and information pertaining thereto, C. database matching means in circuit with said input means and with said database storage means for locating within said database a linguistic expression matching or similar to said search linguistic expression, said database matching means including skeletonization means for converting at least one said database linguistic expression to a linguistically salient word skeleton, and for converting said search linguistic expression, or a modified form thereof, to a linguistically salient word skeleton, said converting means comprising i. means for eliminating from the word skeleton produced thereby a selected alpha set, if any, of the expression being converted which lacks isomorphy with a phonetic representation of that selected set, and ii means for replacing with a different linguistic symbol another selected alpha set, if any, of the expression being converted which lacks isomorphy with a phonetic representation of that other selected set, D. output means in circuit with said matching means for generating a signal indicative of the success of locating at least one database linguistic expression matching or similar to said search linguistic expression and for generating signals representative of information pertaining to the matching or similar database linguistic expressions, if any. | 1. A digital data processing apparatus for information retrieval, said apparatus comprising A. input means for accepting a signal representative of a search linguistic expression in conventional textual reoresentation. B database storage means for storing signals representative of plural textual expressions and information pertaining thereto, C. database matching means in circuit with said input means and with said database storage means for locating within said database a linguistic expression matching or similar to said search linguistic expression, said database matching means including skeletonization means for converting at least one said database linguistic expression to a linguistically salient word skeleton, and for converting said search linguistic expression, or a modified form thereof, to a linguistically salient word skeleton, said converting means comprising i. means for eliminating from the word skeleton produced thereby a selected alpha set, if any, of the expression being converted which lacks isomorphy with a phonetic representation of that selected set, and ii means for replacing with a different linguistic symbol another selected alpha set, if any, of the expression being converted which lacks isomorphy with a phonetic representation of that other selected set, D. output means in circuit with said matching means for generating a signal indicative of the success of locating at least one database linguistic expression matching or similar to said search linguistic expression and for generating signals representative of information pertaining to the matching or similar database linguistic expressions, if any. 2. An apparatus according to claim 1 wherein said database matching means comprises target modification means in circuit with said skeletonization means for executing the steps of A. selectively modifying said search word skeleton by replacing a set of one or more skeleton symbols with a different set of such symbols, B. comparing said modified search skeleton with a linguistically salient word skeleton of at least one said database linguistic expression, and C. selectively repeating said modifying step and said comparing step. | 0.500936 |
10,083,031 | 17 | 18 | 17. The computer program product of claim 16 , wherein said product is a software application product, said product further comprising instructions for: storing, at the memory, features data relating to said software application, the feature data spanning at least one or more software application versions released over time; automatically extracting said stored feature related data of said product, said stored feature data comprising one or more of: an application description and version release logs relating to said released software application product versions; and implementing, by said programmed processor, natural language processing (NLP) applied to said application description and version release logs to identify said one or more structured features, said structured features comprising: umbrella features (UF) and low-level features each release version introduces, improves or deletes. | 17. The computer program product of claim 16 , wherein said product is a software application product, said product further comprising instructions for: storing, at the memory, features data relating to said software application, the feature data spanning at least one or more software application versions released over time; automatically extracting said stored feature related data of said product, said stored feature data comprising one or more of: an application description and version release logs relating to said released software application product versions; and implementing, by said programmed processor, natural language processing (NLP) applied to said application description and version release logs to identify said one or more structured features, said structured features comprising: umbrella features (UF) and low-level features each release version introduces, improves or deletes. 18. The computer program product of claim 17 , wherein for building a behavior evolution model for a software application, said product further comprising instructions causing the processor to perform: obtaining the application name, historical version labels, release timestamps from each released version, and rating information of each version of the application; and tracking application versions by linking versions with release timestamps and said rating information, said building said behavior evolution model comprising linking features and release versions with change labels, said change labels being labels introduced, deleted or refined. | 0.821722 |
8,909,708 | 1 | 7 | 1. A computer-implemented method for confirming authorship of documents, performed on a server having at least one processor and memory storing at least one program for execution by the at least one processor to perform the method, comprising: accessing a first document hosted on a first website of a first domain, the first document being indirectly linked to a second document through at least one link in a chain of links, a respective link in the chain of links including a first predefined authorship attribute asserting authorship of a respective document including the respective link by a respective entity associated with a respective target document of the respective link; and conditionally confirming authorship of the first document by an entity associated with the second document when the second document includes a second link to the first website of the first domain, the second link including a second predefined authorship attribute indicating that the entity associated with the second document is an author of or contributor to content at the first website of the first domain. | 1. A computer-implemented method for confirming authorship of documents, performed on a server having at least one processor and memory storing at least one program for execution by the at least one processor to perform the method, comprising: accessing a first document hosted on a first website of a first domain, the first document being indirectly linked to a second document through at least one link in a chain of links, a respective link in the chain of links including a first predefined authorship attribute asserting authorship of a respective document including the respective link by a respective entity associated with a respective target document of the respective link; and conditionally confirming authorship of the first document by an entity associated with the second document when the second document includes a second link to the first website of the first domain, the second link including a second predefined authorship attribute indicating that the entity associated with the second document is an author of or contributor to content at the first website of the first domain. 7. The computer-implemented method of claim 1 , wherein the second link links to a root of the first website of the first domain. | 0.873529 |
8,358,747 | 1 | 5 | 1. A computer-implemented method of recognizing a voice input received by an interactive voice recognition system, the computer-implemented method comprising: receiving an initial caller voice input from a caller, wherein the initial caller voice input is the caller saying an unintelligible phrase caused by a speech limitation of the caller; a processor determining that the initial caller voice input is a computer-unintelligible voice input that does not match any entry from a lexicon of known voice inputs; prompting the caller to transmit a secondary input to clarify the computer-unintelligible voice input, wherein the secondary input is a dual-tone multi-frequency (DTMF) phone keypad input from the caller that identifies a user-requested activity that the caller was requesting when saying the unintelligible phrase; utilizing the secondary input to match the computer-unintelligible voice input with a specific known voice input from the lexicon of known voice inputs; and updating the lexicon of known voice inputs with the computer-unintelligible voice input, wherein the computer-unintelligible voice input is matched to the specific known voice input from the lexicon of known voice inputs; matching the unintelligible phrase to the user-requested activity in a database that is specific for the caller; receiving the unintelligible phrase in a subsequent phone call from the user; and matching the unintelligible phrase to the user-requested activity for the caller. | 1. A computer-implemented method of recognizing a voice input received by an interactive voice recognition system, the computer-implemented method comprising: receiving an initial caller voice input from a caller, wherein the initial caller voice input is the caller saying an unintelligible phrase caused by a speech limitation of the caller; a processor determining that the initial caller voice input is a computer-unintelligible voice input that does not match any entry from a lexicon of known voice inputs; prompting the caller to transmit a secondary input to clarify the computer-unintelligible voice input, wherein the secondary input is a dual-tone multi-frequency (DTMF) phone keypad input from the caller that identifies a user-requested activity that the caller was requesting when saying the unintelligible phrase; utilizing the secondary input to match the computer-unintelligible voice input with a specific known voice input from the lexicon of known voice inputs; and updating the lexicon of known voice inputs with the computer-unintelligible voice input, wherein the computer-unintelligible voice input is matched to the specific known voice input from the lexicon of known voice inputs; matching the unintelligible phrase to the user-requested activity in a database that is specific for the caller; receiving the unintelligible phrase in a subsequent phone call from the user; and matching the unintelligible phrase to the user-requested activity for the caller. 5. The computer-implemented method of claim 1 , wherein the lexicon of known voice inputs is exclusive to the caller. | 0.942421 |
8,330,844 | 12 | 14 | 12. A non-transitory computer readable medium storing a computer program for processing a plurality of images on a device, said computer program comprising: a set of instructions for displaying, in a first display area, different groups of images imported during different import sessions; a set of instructions for associating different sets of images from the first display area with different digital photo albums; a set of instructions for displaying each particular digital photo album as a user selectable item, wherein a selection of a selectable item corresponding to a particular digital photo album causes the first display area to only display a set of images associated with the particular digital photo album, wherein the first display area displays all the images imported when no selectable item corresponding to a digital album is selected; a set of instructions for receiving a selection of a grouping tool; and a set of instructions for grouping, in response to the selection of the grouping tool, the images in the first display area into the different groups according to the different import sessions by displaying a group divider icon between each of two different groups of images. | 12. A non-transitory computer readable medium storing a computer program for processing a plurality of images on a device, said computer program comprising: a set of instructions for displaying, in a first display area, different groups of images imported during different import sessions; a set of instructions for associating different sets of images from the first display area with different digital photo albums; a set of instructions for displaying each particular digital photo album as a user selectable item, wherein a selection of a selectable item corresponding to a particular digital photo album causes the first display area to only display a set of images associated with the particular digital photo album, wherein the first display area displays all the images imported when no selectable item corresponding to a digital album is selected; a set of instructions for receiving a selection of a grouping tool; and a set of instructions for grouping, in response to the selection of the grouping tool, the images in the first display area into the different groups according to the different import sessions by displaying a group divider icon between each of two different groups of images. 14. The non-transitory computer readable medium of claim 12 , wherein the computer program further comprises a set of instructions for editing a particular image selected in the first display area by removing redeye from the particular image. | 0.831944 |
7,761,298 | 10 | 12 | 10. The non-transitory computer-readable storage medium of claim 9 , wherein documents relates to a first document based at least on a frame of time. | 10. The non-transitory computer-readable storage medium of claim 9 , wherein documents relates to a first document based at least on a frame of time. 12. The non-transitory computer-readable storage medium of claim 10 , the method further comprising adding at least one word from the documents to the first document. | 0.905251 |
9,753,921 | 1 | 2 | 1. A method in a document management system, wherein each user of the document management system is associated with a user identifier, the method comprising: storing a document in a document management system, wherein the document comprises text portions, each text portion authored by a user; receiving a comment for the document, the comment associated with a selected text span in the document; creating a thread, the thread having a comment list, a text span element, an audience, and a notification element; associating the selected text span with the text span element of the thread; associating the comment with the comment list of the thread; determining each user who authored a text portion of the document that overlaps the text span for the thread, and including the user identifier of each determined user in the audience element of the thread; identifying in the selected text span each user primitive mentioning a user, each user primitive comprising a predetermined token followed by a user name of a user, and including a user identifier associated with each identified user primitive in the audience element of the thread; transmitting to each user having a user identifier in the audience element of the thread a notification message, the notification message including a link including addressing information to access the document and the comment in the document management system. | 1. A method in a document management system, wherein each user of the document management system is associated with a user identifier, the method comprising: storing a document in a document management system, wherein the document comprises text portions, each text portion authored by a user; receiving a comment for the document, the comment associated with a selected text span in the document; creating a thread, the thread having a comment list, a text span element, an audience, and a notification element; associating the selected text span with the text span element of the thread; associating the comment with the comment list of the thread; determining each user who authored a text portion of the document that overlaps the text span for the thread, and including the user identifier of each determined user in the audience element of the thread; identifying in the selected text span each user primitive mentioning a user, each user primitive comprising a predetermined token followed by a user name of a user, and including a user identifier associated with each identified user primitive in the audience element of the thread; transmitting to each user having a user identifier in the audience element of the thread a notification message, the notification message including a link including addressing information to access the document and the comment in the document management system. 2. The method of claim 1 , further comprising: identifying in the received comment each user primitive mentioning a user; and including the user identifier associated with each identified user primitive in the audience element of the thread. | 0.847468 |
8,886,650 | 7 | 12 | 7. A method for optimizing content on a topic page, comprising: receiving a query for a topic; identifying a plurality of content modules from anyone of a branded source or an un-branded source that match one or more parameters of the query; computing one or more module performance indicators for each of the identified plurality of content modules for the topic based on the one or more parameters, the module performance indicator defined as a product of weight of each module performance indicator and value associated with the module performance indicator of each of the identified plurality of content modules; generating an aggregate module performance indicator for each of the plurality of content modules; selecting one or more of the content modules from the identified plurality of content modules from anyone of the branded or un-branded sources for rendering on the topic page based on the aggregate module performance indicators associated with each content module for the topic so as to provide optimal content for the query, wherein the topic page includes content modules from just the branded source, just the un-branded source or an aggregate of both the branded source and un branded source, wherein a module performance indicator for each of the one or more content modules is computed by measuring deviation of actual user interaction at the respective content module against an expected user interaction for the content module, wherein the expected user interaction is available at a source of the content module and actual user interaction is obtained from a historical log maintained for the content module. | 7. A method for optimizing content on a topic page, comprising: receiving a query for a topic; identifying a plurality of content modules from anyone of a branded source or an un-branded source that match one or more parameters of the query; computing one or more module performance indicators for each of the identified plurality of content modules for the topic based on the one or more parameters, the module performance indicator defined as a product of weight of each module performance indicator and value associated with the module performance indicator of each of the identified plurality of content modules; generating an aggregate module performance indicator for each of the plurality of content modules; selecting one or more of the content modules from the identified plurality of content modules from anyone of the branded or un-branded sources for rendering on the topic page based on the aggregate module performance indicators associated with each content module for the topic so as to provide optimal content for the query, wherein the topic page includes content modules from just the branded source, just the un-branded source or an aggregate of both the branded source and un branded source, wherein a module performance indicator for each of the one or more content modules is computed by measuring deviation of actual user interaction at the respective content module against an expected user interaction for the content module, wherein the expected user interaction is available at a source of the content module and actual user interaction is obtained from a historical log maintained for the content module. 12. The method of claim 7 , wherein measuring deviation of actual user interaction is by measuring click rates at the content module of a plurality of users with similar demographics as a current user and comparing against expected click rate for the content module from the source of the content module. | 0.690428 |
8,065,609 | 6 | 7 | 6. A computer program product comprising a computer readable storage device storing executable instructions for generating a survey, the executable instructions comprising: instructions for storing an XML survey document in a memory of a first computer system, wherein the XML survey document comprises a plurality of questions and corresponding answer options, a root node and a plurality of sub-nodes branching from the root node, wherein each question and corresponding answer options are defined as XML data elements, wherein attributes define the associations among the XML data elements and define question branches; instructions for sending programming instructions to a second computer system for execution as an applet in a browser of the second computer system and a document type definition file, wherein the execution of the programming instructions as an applet causes the second computer system to parse the data elements into a plurality of data arrays using the document type definition file, wherein each data array in the plurality of data arrays comprises a hash table and cross-references defining associations among each question and corresponding answer options in the plurality of questions and corresponding answer options and identifying additional questions and corresponding answer options; instructions for providing a question and corresponding answer options, from the plurality of questions and corresponding answer options, to a user on the second computer system; instructions for receiving a user input comprising user selected answer options responsive to the provided question; instructions for traversing the each data array to determine whether the user selected answer options identifies additional questions and corresponding answer options; and instructions for presenting the additional questions and corresponding answer options to the user on the second computer system responsive to determining that the user selected answer options identifies the additional questions and corresponding answer options. | 6. A computer program product comprising a computer readable storage device storing executable instructions for generating a survey, the executable instructions comprising: instructions for storing an XML survey document in a memory of a first computer system, wherein the XML survey document comprises a plurality of questions and corresponding answer options, a root node and a plurality of sub-nodes branching from the root node, wherein each question and corresponding answer options are defined as XML data elements, wherein attributes define the associations among the XML data elements and define question branches; instructions for sending programming instructions to a second computer system for execution as an applet in a browser of the second computer system and a document type definition file, wherein the execution of the programming instructions as an applet causes the second computer system to parse the data elements into a plurality of data arrays using the document type definition file, wherein each data array in the plurality of data arrays comprises a hash table and cross-references defining associations among each question and corresponding answer options in the plurality of questions and corresponding answer options and identifying additional questions and corresponding answer options; instructions for providing a question and corresponding answer options, from the plurality of questions and corresponding answer options, to a user on the second computer system; instructions for receiving a user input comprising user selected answer options responsive to the provided question; instructions for traversing the each data array to determine whether the user selected answer options identifies additional questions and corresponding answer options; and instructions for presenting the additional questions and corresponding answer options to the user on the second computer system responsive to determining that the user selected answer options identifies the additional questions and corresponding answer options. 7. The computer program product of claim 6 wherein each sub-node in the plurality of the sub-nodes comprises attributes defining categories for each question and corresponding answer options in the plurality of questions and corresponding answer options. | 0.930752 |
8,527,893 | 1 | 2 | 1. A system, comprising: a processor; and a taxonomy editor configured to execute on the processor to generate a visual representation of a taxonomy associated with a set of scientific papers, the taxonomy editor comprising: a properties module configured to identify one or more properties relating to an individual node of the taxonomy, the one or more properties reflecting a number of scientific papers assigned to the individual node in recent years; a statistics module configured to determine a trend relating to the number of scientific papers assigned to the individual node in recent years; and a suggestion module configured to utilize the one or more properties and the trend to, in at least one instance when the individual node is not a leaf node and the trend indicates that the number of scientific papers assigned to the individual node in recent years is decreasing, provide a suggested modification to a user to collapse at least two children leaf nodes of the individual node into the individual node and cause the individual node to become a leaf node of the taxonomy. | 1. A system, comprising: a processor; and a taxonomy editor configured to execute on the processor to generate a visual representation of a taxonomy associated with a set of scientific papers, the taxonomy editor comprising: a properties module configured to identify one or more properties relating to an individual node of the taxonomy, the one or more properties reflecting a number of scientific papers assigned to the individual node in recent years; a statistics module configured to determine a trend relating to the number of scientific papers assigned to the individual node in recent years; and a suggestion module configured to utilize the one or more properties and the trend to, in at least one instance when the individual node is not a leaf node and the trend indicates that the number of scientific papers assigned to the individual node in recent years is decreasing, provide a suggested modification to a user to collapse at least two children leaf nodes of the individual node into the individual node and cause the individual node to become a leaf node of the taxonomy. 2. The system of claim 1 , wherein the properties module is further configured to populate a node properties region of the visual representation with the one or more properties. | 0.777078 |
9,864,674 | 19 | 20 | 19. A system comprising: a communication interface configured to receive, from an application prototyping tool: an interactive wireframe representation of a graphical user interface (GUI) of an application, and application behavior data for the application, wherein both the interactive wireframe representation and the application behavior data were captured by the application prototyping tool; a GUI information database configured to store the interactive wireframe representation and the application behavior data after the prototyping tool captures the interactive wireframe representation and the application behavior data; test case generation circuitry in communication with the GUI information database, the test case generation circuitry configured to: extract GUI information from the interactive wireframe representation and the application behavior data stored in the GUI information database, wherein the GUI information comprises Graphical User Interface Components (GUIC), GUIC behavior, and GUIC events for the GUI, wherein the GUIC comprises a screen component, a display component, an input/output component, an actionable component, or any combination thereof; determine relationships between the GUICs and the GUIC events as part of the GUI information, wherein the GUI information comprises component conditional event clauses (CCEC) specifying conditions and component events, wherein the CCEC further comprises component conditional clauses (CCC) and component event clauses (CEC), wherein the test case generation circuitry is configured to associate the CCC and the CEC with the GUIC to determine the relationships; determine semantic knowledge from the relationships between the GUICs and the GUIC events, and store the semantic knowledge in a semantic knowledge database; generate a summarized model of the GUI from the GUI information that describes GUI components categorized into one of at least a screen component, an actionable component, an input/output component, or a display component; generate a screen model for selected screens of the GUI using a subset of extracted GUI information in the summarized model, wherein the screen model comprises a behavioral flow for each of the selected screens, and the subset of the extracted GUI information for generating the screen model comprises the relationships between the GUICs and structural positioning of the GUICs; generate an application model by combining the screen models for each of the selected screens into a unified representation according to the behavioral flow for each of the selected screens; traverse the application model to generate a test path comprising a sequence of the GUICs and event types for the GUICs; and generate test cases using the sequence of the GUICs and the event types included in the test path and the semantic knowledge stored in the semantic knowledge database for the GUI; and display generation circuitry configured to display the screen model and the application model as a control flow graph, and display the generated test cases in a test case window. | 19. A system comprising: a communication interface configured to receive, from an application prototyping tool: an interactive wireframe representation of a graphical user interface (GUI) of an application, and application behavior data for the application, wherein both the interactive wireframe representation and the application behavior data were captured by the application prototyping tool; a GUI information database configured to store the interactive wireframe representation and the application behavior data after the prototyping tool captures the interactive wireframe representation and the application behavior data; test case generation circuitry in communication with the GUI information database, the test case generation circuitry configured to: extract GUI information from the interactive wireframe representation and the application behavior data stored in the GUI information database, wherein the GUI information comprises Graphical User Interface Components (GUIC), GUIC behavior, and GUIC events for the GUI, wherein the GUIC comprises a screen component, a display component, an input/output component, an actionable component, or any combination thereof; determine relationships between the GUICs and the GUIC events as part of the GUI information, wherein the GUI information comprises component conditional event clauses (CCEC) specifying conditions and component events, wherein the CCEC further comprises component conditional clauses (CCC) and component event clauses (CEC), wherein the test case generation circuitry is configured to associate the CCC and the CEC with the GUIC to determine the relationships; determine semantic knowledge from the relationships between the GUICs and the GUIC events, and store the semantic knowledge in a semantic knowledge database; generate a summarized model of the GUI from the GUI information that describes GUI components categorized into one of at least a screen component, an actionable component, an input/output component, or a display component; generate a screen model for selected screens of the GUI using a subset of extracted GUI information in the summarized model, wherein the screen model comprises a behavioral flow for each of the selected screens, and the subset of the extracted GUI information for generating the screen model comprises the relationships between the GUICs and structural positioning of the GUICs; generate an application model by combining the screen models for each of the selected screens into a unified representation according to the behavioral flow for each of the selected screens; traverse the application model to generate a test path comprising a sequence of the GUICs and event types for the GUICs; and generate test cases using the sequence of the GUICs and the event types included in the test path and the semantic knowledge stored in the semantic knowledge database for the GUI; and display generation circuitry configured to display the screen model and the application model as a control flow graph, and display the generated test cases in a test case window. 20. The system of claim 19 , wherein the GUI information further comprises annotations, wherein: the test case generation circuitry is configured to use the annotations to capture an internal behavioral event, or an external behavior event, or semantic knowledge associated with the GUIC, or any combination thereof; and the test case generation circuitry is configured to capture the annotations by prefixing a pre-selected tag, followed by an annotation category, where the annotation category comprises the internal behavioral event, the external behavior event, and the semantic knowledge wherein: the internal behavioral event comprises a backward dependency component (BDC), a forward dependency component (FDC), the CCEC and component direct event clause (CDEC), and the external behavioral event comprises an external user interface application (EUIA), external service call (ESC), and functional semantics (FS). | 0.500543 |
9,997,157 | 1 | 4 | 1. One or more computer storage media having computer-executable instructions embodied thereon that, when executed by a computing system having a processor and memory, cause the computing system to personalize a language model for a particular target user based on user history information, the computer-executable instructions causing the computing system to: receive usage history information for a target user from one or more sources; parse the usage history information to identify entities and user actions associated with the entities; access a generalized knowledge source that is not personalized for the user, wherein the generalized knowledge source comprises indicators of relationships between entities in a domain; map the identified entities and the identified user actions to the generalized knowledge source, thereby creating a personalized knowledge source, the personalized knowledge source comprising indicators of relationships between the identified entities and the identified user actions, and the entities in the domain, the indicators comprising probabilities associated with the relationships, and the mapping comprising at least one of incrementing a count of one or more entities or calculating a weight of one or more entities; utilize the entities, relationships, and probabilities in the personalized knowledge source to build a personal language model for the target user; and utilize the personal language model for computer-performed speech recognition or spoken language understanding for the target user. | 1. One or more computer storage media having computer-executable instructions embodied thereon that, when executed by a computing system having a processor and memory, cause the computing system to personalize a language model for a particular target user based on user history information, the computer-executable instructions causing the computing system to: receive usage history information for a target user from one or more sources; parse the usage history information to identify entities and user actions associated with the entities; access a generalized knowledge source that is not personalized for the user, wherein the generalized knowledge source comprises indicators of relationships between entities in a domain; map the identified entities and the identified user actions to the generalized knowledge source, thereby creating a personalized knowledge source, the personalized knowledge source comprising indicators of relationships between the identified entities and the identified user actions, and the entities in the domain, the indicators comprising probabilities associated with the relationships, and the mapping comprising at least one of incrementing a count of one or more entities or calculating a weight of one or more entities; utilize the entities, relationships, and probabilities in the personalized knowledge source to build a personal language model for the target user; and utilize the personal language model for computer-performed speech recognition or spoken language understanding for the target user. 4. The one or more computer storage media of claim 1 , wherein the one or more sources comprise one or more query logs associated with the target user, websites visited by the target user, online purchase history of the target user; social networking interactions performed by the target user, or actions taken on a user device by the target user. | 0.609234 |
9,761,247 | 11 | 13 | 11. A conversational understanding system comprising: a processor; and memory storing computer-executable instructions that, when executed, causes the processor to perform a method comprising: receive an utterance from a user; parse the utterance into one or more speech segments; extract prosodic features from the one or more speech segments; generate a score for the received utterance based on the prosodic features, wherein generating the score is word-independent, context-independent, and speaker-independent; determine an intended addressee of the received utterance based on the generated score, wherein the intended addressee is one of a human and a computer; in response to determining that the intended addressee is the processor, generate a response for the received utterance; and output the response to the user. | 11. A conversational understanding system comprising: a processor; and memory storing computer-executable instructions that, when executed, causes the processor to perform a method comprising: receive an utterance from a user; parse the utterance into one or more speech segments; extract prosodic features from the one or more speech segments; generate a score for the received utterance based on the prosodic features, wherein generating the score is word-independent, context-independent, and speaker-independent; determine an intended addressee of the received utterance based on the generated score, wherein the intended addressee is one of a human and a computer; in response to determining that the intended addressee is the processor, generate a response for the received utterance; and output the response to the user. 13. The system of claim 11 , wherein the method further comprises: extracting energy-related features from the received utterance using fixed-length temporal windows within the received utterance; and determining the intended addressee based on the energy-related features. | 0.632075 |
10,056,083 | 6 | 7 | 6. The method of claim 5 , further comprising: updating the predefined weight of each of the one or more first nodes and the predefined weight of each of the one or more second nodes in the generated graph. | 6. The method of claim 5 , further comprising: updating the predefined weight of each of the one or more first nodes and the predefined weight of each of the one or more second nodes in the generated graph. 7. The method of claim 6 , wherein the updating of the predefined weight comprises determining a weight for each node of the one or more first nodes and the one or more second nodes using
minΣ( i,j )∈ E|a i −a j | where E corresponds to an extended keyword graph, a i corresponds to a weight by which a unigram probability estimate for keyword I is incremented, and a j is defined for keywords in set M=L∪D, L and D correspond to nodes and edges. | 0.892925 |
8,271,864 | 39 | 43 | 39. A method for representing a position-coded product in a digital pen system, the method comprising: creating an electronic document file of a predetermined format, the electronic document file comprising a set of document pages; adding to the electronic document file at least one pattern license file including addresses corresponding to a set of pattern pages having a given ordering, the at least one pattern license file further including a starting page address and a license parameter identifying at least one property of the at least one pattern license file, each of the addresses in the at least one pattern license file identifying at least one pattern page included in the set of pattern pages, wherein each of the pattern pages is a unique part of a position-coding pattern, and the at least one pattern license file associates the set of pattern pages with the position-coding pattern before and independent of an action of printing copies of the position-coded product; activating the electronic document file for a number of product copies, wherein each product copy contains the set of document pages, and wherein the document pages are implicitly associated, in copy for copy order, with the pattern pages identified by the at least one pattern license file; printing a second number of the activated product copies by deriving the document pages and the associated pattern pages based on the electronic document file; and indicating the activated product copies thus-printed in the electronic document file. | 39. A method for representing a position-coded product in a digital pen system, the method comprising: creating an electronic document file of a predetermined format, the electronic document file comprising a set of document pages; adding to the electronic document file at least one pattern license file including addresses corresponding to a set of pattern pages having a given ordering, the at least one pattern license file further including a starting page address and a license parameter identifying at least one property of the at least one pattern license file, each of the addresses in the at least one pattern license file identifying at least one pattern page included in the set of pattern pages, wherein each of the pattern pages is a unique part of a position-coding pattern, and the at least one pattern license file associates the set of pattern pages with the position-coding pattern before and independent of an action of printing copies of the position-coded product; activating the electronic document file for a number of product copies, wherein each product copy contains the set of document pages, and wherein the document pages are implicitly associated, in copy for copy order, with the pattern pages identified by the at least one pattern license file; printing a second number of the activated product copies by deriving the document pages and the associated pattern pages based on the electronic document file; and indicating the activated product copies thus-printed in the electronic document file. 43. The method of claim 39 , further comprising providing the activated electronic document file, or part thereof, to an application program for processing position data recorded by a digital pen from one or more of the printed product copies. | 0.582474 |
10,147,038 | 4 | 5 | 4. The method of claim 1 , wherein the plurality of tasks comprise game tasks. | 4. The method of claim 1 , wherein the plurality of tasks comprise game tasks. 5. The method of claim 4 , wherein the plurality of tasks comprise character action tasks. | 0.95648 |
8,626,862 | 1 | 19 | 1. A method comprising: accessing, by one or more computers of a first person, information for a graphical user interface that when rendered by the one or more computers displays an identifying characteristic associated with a second person's contact information; detecting, by the one or more computers, the first's person selection of a hotkey combination that specifies that the first user has selected textual information in the graphical user interface; identifying, based on detection of the hotkey combination, that the selected textual information is the identifying characteristic displayed in the graphical user interface; determining, by the one or more computers, a type of the identifying characteristic that is selected in the graphical user interface and that is identified by the selection of the hotkey combination, with the type of the identifying characteristic comprising one or more of a telephone number for the second person, a name of the second person, and an image associated with the second person; determining, based on the identifying characteristic that is selected in the graphical user interface and that is identified by the selection of the hotkey combination and the type of the identifying characteristic that is selected in the graphical user interface and that is identified by the selection of the hotkey combination, contact information for the second person; and launching a communication mode, with the communication mode using the contact information for the second person to establish a communication with the second person. | 1. A method comprising: accessing, by one or more computers of a first person, information for a graphical user interface that when rendered by the one or more computers displays an identifying characteristic associated with a second person's contact information; detecting, by the one or more computers, the first's person selection of a hotkey combination that specifies that the first user has selected textual information in the graphical user interface; identifying, based on detection of the hotkey combination, that the selected textual information is the identifying characteristic displayed in the graphical user interface; determining, by the one or more computers, a type of the identifying characteristic that is selected in the graphical user interface and that is identified by the selection of the hotkey combination, with the type of the identifying characteristic comprising one or more of a telephone number for the second person, a name of the second person, and an image associated with the second person; determining, based on the identifying characteristic that is selected in the graphical user interface and that is identified by the selection of the hotkey combination and the type of the identifying characteristic that is selected in the graphical user interface and that is identified by the selection of the hotkey combination, contact information for the second person; and launching a communication mode, with the communication mode using the contact information for the second person to establish a communication with the second person. 19. The method of claim 1 wherein the identifying characteristic comprises a name of the second person. | 0.909331 |
7,653,876 | 23 | 41 | 23. A software product tangibly stored on a machine-readable medium, the software product comprising instructions that cause a programmable processor to perform operations for reversing a format of a reversible electronic document comprising two formatting states, the operations comprising: in a first document conversion for reversing an electronic document in a binary format into a markup language format, transforming the electronic document from the binary format into the markup language format by extracting a subset of information from the electronic document in the binary format according to predefined extraction parameters, inserting the subset of the information into portions of the electronic document in the markup language format, and inserting a reduced-information version of the electronic document in the binary format into a storage location of the electronic document in the markup language format such that the version of the electronic document in the binary format is retrievable upon reversal of the electronic document in the markup language format in a second document conversion, wherein the reduced-information version comprises data that is unconvertible to the markup language format; and in the second document conversion for reversing an electronic document in the markup language format into the binary format, transforming the electronic document from the markup language format into the binary format by extracting a first subset of information, from the electronic document in the markup language format, that is recognized in the binary format, extracting a second subset of information, from the electronic document in the markup language format, that is not recognized in the binary format, inserting the first subset of information, from the electronic document in the markup language format, into portions of the electronic document in the binary format, and placing the second subset of information from the electronic document in the markup language format into a storage location of the electronic document in the binary format such that the unrecognized information is retrievable upon reversal of the electronic document in the binary format in the first document conversion, wherein the second subset of information comprises data that is unconvertible to the binary format. | 23. A software product tangibly stored on a machine-readable medium, the software product comprising instructions that cause a programmable processor to perform operations for reversing a format of a reversible electronic document comprising two formatting states, the operations comprising: in a first document conversion for reversing an electronic document in a binary format into a markup language format, transforming the electronic document from the binary format into the markup language format by extracting a subset of information from the electronic document in the binary format according to predefined extraction parameters, inserting the subset of the information into portions of the electronic document in the markup language format, and inserting a reduced-information version of the electronic document in the binary format into a storage location of the electronic document in the markup language format such that the version of the electronic document in the binary format is retrievable upon reversal of the electronic document in the markup language format in a second document conversion, wherein the reduced-information version comprises data that is unconvertible to the markup language format; and in the second document conversion for reversing an electronic document in the markup language format into the binary format, transforming the electronic document from the markup language format into the binary format by extracting a first subset of information, from the electronic document in the markup language format, that is recognized in the binary format, extracting a second subset of information, from the electronic document in the markup language format, that is not recognized in the binary format, inserting the first subset of information, from the electronic document in the markup language format, into portions of the electronic document in the binary format, and placing the second subset of information from the electronic document in the markup language format into a storage location of the electronic document in the binary format such that the unrecognized information is retrievable upon reversal of the electronic document in the binary format in the first document conversion, wherein the second subset of information comprises data that is unconvertible to the binary format. 41. The software product of claim 23 , wherein at least one of the subsets of information comprises asset management information, configuration information and data source information. | 0.872222 |
9,224,107 | 15 | 16 | 15. The computer program product of claim 14 , wherein each task comprises a plurality of settings that specify application program behavior related to the feature associated with the task, and wherein activation of the selected tasks' feature in the application program maintains the plurality of settings in corresponding customizing tables that specify the application program behavior related to the feature associated with the task. | 15. The computer program product of claim 14 , wherein each task comprises a plurality of settings that specify application program behavior related to the feature associated with the task, and wherein activation of the selected tasks' feature in the application program maintains the plurality of settings in corresponding customizing tables that specify the application program behavior related to the feature associated with the task. 16. The computer program product of claim 15 , wherein the modification of settings in the customizing table occurs after the selection of the set of tasks and in response to the receipt of a forth user input that is not a selection of a task. | 0.943118 |
7,783,644 | 1 | 5 | 1. A system for presenting entities mentioned in books, comprising: a non-transitory computer-readable storage medium storing executable computer program instructions comprising: an entity importance engine for assigning query-independent importance scores to entities of an entity type mentioned by books in a corpus, the entity importance engine comprising a references module for identifying third party references to sections of a book in which an entity is mentioned, assigning importance values to the sections of the book, and calculating an importance score for the entity responsive at least in part to the importance values, wherein the importance values for sections of the book referenced by third parties are elevated relative to the importance values for sections of the book not referenced by third parties; a search module for receiving a search query from a requestor and identifying a list of a plurality of books in the corpus that at least partially satisfy the query, and ranking the books in the list in an order based at least in part on the query-independent importance scores assigned to entities mentioned by the books; and a presentation module for presenting the plurality of books to the requestor in the ranked order; and a processor for executing the computer program instructions. | 1. A system for presenting entities mentioned in books, comprising: a non-transitory computer-readable storage medium storing executable computer program instructions comprising: an entity importance engine for assigning query-independent importance scores to entities of an entity type mentioned by books in a corpus, the entity importance engine comprising a references module for identifying third party references to sections of a book in which an entity is mentioned, assigning importance values to the sections of the book, and calculating an importance score for the entity responsive at least in part to the importance values, wherein the importance values for sections of the book referenced by third parties are elevated relative to the importance values for sections of the book not referenced by third parties; a search module for receiving a search query from a requestor and identifying a list of a plurality of books in the corpus that at least partially satisfy the query, and ranking the books in the list in an order based at least in part on the query-independent importance scores assigned to entities mentioned by the books; and a presentation module for presenting the plurality of books to the requestor in the ranked order; and a processor for executing the computer program instructions. 5. The system of claim 1 , wherein there are a plurality of entity types, and wherein the presentation module presents entities of a single type in a particular style selected based at least in part on the entity type. | 0.922198 |
8,442,973 | 1 | 19 | 1. A method for dynamically modifying search results comprising: receiving one or more keywords for use as search terms from a user; providing a set of search result objects on a first page of results displayed to said user; providing title and display text with each of said search result objects in said set of search result objects; monitoring which of said objects is selected by said user; compiling information to infer user intent based on the content of said document the user clicks; and by the time said user returns from said document to said set of search result objects including said document, immediately automatically re-ranking said set of search result objects based on user intent inferred from said analyzing of the content of said document said user clicks on, so that a user clicking on a single document from said set of search result objects results in a re-ranking of said set of search result objects, so that upon said user returning from said document to said set of search result objects including said document, without the user resubmitting the search, the re-ranked results will be visible; using terms from the title and display text corresponding to a selected object in an algorithm for generating said re-ranking of said set of search result objects on at least said first page; wherein said re-ranking includes moving at least one object from a subsequent page, not originally visible to said user on said first page, onto said first page; wherein said at least one object moved onto said first page is displayed in a manner to indicate to the user that it has been inserted between other objects on said first page, with said display providing an indication that the object is from a subsequent page and was not originally displayed on said first page. | 1. A method for dynamically modifying search results comprising: receiving one or more keywords for use as search terms from a user; providing a set of search result objects on a first page of results displayed to said user; providing title and display text with each of said search result objects in said set of search result objects; monitoring which of said objects is selected by said user; compiling information to infer user intent based on the content of said document the user clicks; and by the time said user returns from said document to said set of search result objects including said document, immediately automatically re-ranking said set of search result objects based on user intent inferred from said analyzing of the content of said document said user clicks on, so that a user clicking on a single document from said set of search result objects results in a re-ranking of said set of search result objects, so that upon said user returning from said document to said set of search result objects including said document, without the user resubmitting the search, the re-ranked results will be visible; using terms from the title and display text corresponding to a selected object in an algorithm for generating said re-ranking of said set of search result objects on at least said first page; wherein said re-ranking includes moving at least one object from a subsequent page, not originally visible to said user on said first page, onto said first page; wherein said at least one object moved onto said first page is displayed in a manner to indicate to the user that it has been inserted between other objects on said first page, with said display providing an indication that the object is from a subsequent page and was not originally displayed on said first page. 19. The method of claim 1 further comprising: re-ranking only search results of said set of search result objects on search result pages the user has not yet navigated to. | 0.870258 |
9,529,914 | 13 | 16 | 13. A non-transitory computer-readable medium having instructions stored thereon that, when executed by a processor, cause performance of a set of acts comprising: accessing web-traffic data associated with a web page hosted by a first computing-device, wherein the web page comprises meta-tag data; using the accessed web-traffic data to determine that the first computing-device received a threshold amount of requests that (i) were for the web page and (ii) originated from a particular geographical region; responsive to determining that the first computing-device received the threshold amount of requests that (i) were for the web page and (ii) originated from the particular geographical region, modifying the meta-tag data based on the particular geographical region; and transmitting the modified meta-tag data to a second computing-device, wherein the second computing-device is configured for (i) receiving the transmitted modified meta-tag data, (ii) receiving a request for a list of search results based on a set of search terms, (iii) responsive to receiving the request, using the set of search terms and the modified meta-tag data to perform a web search, thereby generating a list of search results, and (iv) transmitting the list of generated search results to a third computing-device. | 13. A non-transitory computer-readable medium having instructions stored thereon that, when executed by a processor, cause performance of a set of acts comprising: accessing web-traffic data associated with a web page hosted by a first computing-device, wherein the web page comprises meta-tag data; using the accessed web-traffic data to determine that the first computing-device received a threshold amount of requests that (i) were for the web page and (ii) originated from a particular geographical region; responsive to determining that the first computing-device received the threshold amount of requests that (i) were for the web page and (ii) originated from the particular geographical region, modifying the meta-tag data based on the particular geographical region; and transmitting the modified meta-tag data to a second computing-device, wherein the second computing-device is configured for (i) receiving the transmitted modified meta-tag data, (ii) receiving a request for a list of search results based on a set of search terms, (iii) responsive to receiving the request, using the set of search terms and the modified meta-tag data to perform a web search, thereby generating a list of search results, and (iv) transmitting the list of generated search results to a third computing-device. 16. The computer-readable medium of claim 13 , wherein modifying the meta-tag data based on the particular geographical region comprises increasing a priority level assigned to a meta-tag keyword within a group of meta-tag keywords of the web page, wherein the meta-tag keyword identifies the particular geographical region. | 0.674044 |
9,058,613 | 19 | 20 | 19. The computer storage medium of claim 15 , wherein the instructions further cause the one or more computers to perform operations comprising determining a category to which the requesting property has been assigned, the category being determined independent of the page keywords for the requesting web property. | 19. The computer storage medium of claim 15 , wherein the instructions further cause the one or more computers to perform operations comprising determining a category to which the requesting property has been assigned, the category being determined independent of the page keywords for the requesting web property. 20. The computer storage medium of claim 19 , wherein the instructions further cause the one or more computers to perform operations comprising identifying advertisements for which presentation of the advertisements is conditioned on the requesting web property being assigned to the category. | 0.918384 |
9,355,093 | 1 | 12 | 1. A natural language generation method for generating a referring noun phrase for an intended referent found in one or more messages within a document plan, the method comprising: arranging, using a processor, one or more messages in a document plan, wherein messages represent a phrase or a simple sentence and are created in an instance in which an input data stream comprises data that satisfies one or more message requirements, and wherein at least a portion of the input data stream comprises non-linguistic data; identifying an intended referent in a message of the one or more messages to be referred to in a textual output; determining a lowest common ancestor for the intended referent and a previously referred-to entity within a part-of hierarchy; determining a salient ancestor of the intended referent within the part-of hierarchy; generating a referring noun phrase for the intended referent to be included in a textual output by traversing the part-of hierarchy from the salient ancestor to the lowest common ancestor such that a default descriptor is added to a queue for at least a portion of entities traversed in the part-of-hierarchy, wherein the reference noun phrase comprises a default descriptor of the intended referent and one or more default descriptors of one or more parts of the part-of hierarchy that are traversed; generating the textual output comprising the referring noun phrase such that it is displayable on a user interface, wherein the textual output linguistically describes at least a portion of the input data stream; and displaying the textual output via a display device. | 1. A natural language generation method for generating a referring noun phrase for an intended referent found in one or more messages within a document plan, the method comprising: arranging, using a processor, one or more messages in a document plan, wherein messages represent a phrase or a simple sentence and are created in an instance in which an input data stream comprises data that satisfies one or more message requirements, and wherein at least a portion of the input data stream comprises non-linguistic data; identifying an intended referent in a message of the one or more messages to be referred to in a textual output; determining a lowest common ancestor for the intended referent and a previously referred-to entity within a part-of hierarchy; determining a salient ancestor of the intended referent within the part-of hierarchy; generating a referring noun phrase for the intended referent to be included in a textual output by traversing the part-of hierarchy from the salient ancestor to the lowest common ancestor such that a default descriptor is added to a queue for at least a portion of entities traversed in the part-of-hierarchy, wherein the reference noun phrase comprises a default descriptor of the intended referent and one or more default descriptors of one or more parts of the part-of hierarchy that are traversed; generating the textual output comprising the referring noun phrase such that it is displayable on a user interface, wherein the textual output linguistically describes at least a portion of the input data stream; and displaying the textual output via a display device. 12. A method according to claim 1 , wherein generating the referring noun phrase further comprises: removing a first element in the queue, wherein the first element is designated as a head noun in the referring noun phase. | 0.714653 |
7,822,729 | 6 | 10 | 6. A system comprising: a processor; a data bus coupled to the processor; a memory coupled to the data bus; and a computer-usable medium embodying computer program code, the computer program code comprising instructions executable by the processor and configured for swapping multiple alias names for multiple objects in a database management system by performing the steps of: compiling a single Structured Query Language (SQL) swap alias command to create a compiled SQL swap alias command, wherein the single SQL swap alias command is a single SQL statement that comprises a list of multiple different objects whose aliases are to be swapped and which, when compiled and executed, causes a global alias swap of at least one alias name swap for different objects among the multiple different objects in the database management system, wherein the global alias swap of the at least one alias name swap for the multiple different objects is triggered by execution of the compiled SQL swap alias command; and issuing the compiled SQL swap alias command to an SQL interface for the database management system, wherein the compiled SQL swap alias command performs the steps of: in response to determining that an issuer of the swap alias command is authorized to issue the SQL swap alias command, determining if a particular underlying object, for a particular alias name, is locked to prevent changing the particular alias name; in response to determining that the particular alias name is locked, determining if the issuer of the swap alias command has an authority to force the alias name swap of the particular alias name; in response to determining that the issuer has the authority to force the alias name swap of the particular alias name, swapping alias names of the particular alias name for the multiple objects in the database management system that have been listed in the single SQL swap alias command, thereby forcing all locked resources to be freed, wherein said swapping is performed as a global alias swap via execution of the compiled SQL swap alias command generated from the single SQL swap alias command; when the issuer does not have the authority to force the alias name swap of the particular alias name: issuing an error message if the SQL swap alias command fails because the issuer is not authorized to force the alias name swap of the particular object; and swapping only the alias names of each of multiple other objects whose alias names are non-locked or for which the issuer has authority to force the alias name swap, wherein said swapping is performed as a global alias swap via execution of the compiled SQL swap alias command generated from the single SQL swap alias command. | 6. A system comprising: a processor; a data bus coupled to the processor; a memory coupled to the data bus; and a computer-usable medium embodying computer program code, the computer program code comprising instructions executable by the processor and configured for swapping multiple alias names for multiple objects in a database management system by performing the steps of: compiling a single Structured Query Language (SQL) swap alias command to create a compiled SQL swap alias command, wherein the single SQL swap alias command is a single SQL statement that comprises a list of multiple different objects whose aliases are to be swapped and which, when compiled and executed, causes a global alias swap of at least one alias name swap for different objects among the multiple different objects in the database management system, wherein the global alias swap of the at least one alias name swap for the multiple different objects is triggered by execution of the compiled SQL swap alias command; and issuing the compiled SQL swap alias command to an SQL interface for the database management system, wherein the compiled SQL swap alias command performs the steps of: in response to determining that an issuer of the swap alias command is authorized to issue the SQL swap alias command, determining if a particular underlying object, for a particular alias name, is locked to prevent changing the particular alias name; in response to determining that the particular alias name is locked, determining if the issuer of the swap alias command has an authority to force the alias name swap of the particular alias name; in response to determining that the issuer has the authority to force the alias name swap of the particular alias name, swapping alias names of the particular alias name for the multiple objects in the database management system that have been listed in the single SQL swap alias command, thereby forcing all locked resources to be freed, wherein said swapping is performed as a global alias swap via execution of the compiled SQL swap alias command generated from the single SQL swap alias command; when the issuer does not have the authority to force the alias name swap of the particular alias name: issuing an error message if the SQL swap alias command fails because the issuer is not authorized to force the alias name swap of the particular object; and swapping only the alias names of each of multiple other objects whose alias names are non-locked or for which the issuer has authority to force the alias name swap, wherein said swapping is performed as a global alias swap via execution of the compiled SQL swap alias command generated from the single SQL swap alias command. 10. The system of claim 6 , wherein the SQL swap alias command has a syntax of “SWAP ALIASGROUPS [alias_n becomes object_n] [multiple iterations] [force]”, wherein “alias_n” defines an alias name that is redirected to point to “object_n”, “multiple iterations” defines that the swap alias command is to be applied to multiple objects in the database management system, wherein one or more [alias_x becomes object_x] can be defined, and “force” defines whether the command is to force the alias name swap. | 0.50099 |
9,165,064 | 1 | 5 | 1. A method for providing context aware prompts and alerts in a note taking system, the method comprising: (a) providing a note taking function to allow a user to create a note on a user device, wherein the note is stored; (b) enriching the note by associating a local contextual trait with the note, wherein the local contextual trait is automatically gathered at the user device while the user creates the note on the user device; (c) providing a binding function to establish one or more binding rules for the note, wherein the binding rules determine one or more services where the note is to be bound, and wherein the binding rules are changeable; (d) assigning one or more prompts or alerts to the note using a prompt and alert service, wherein the assigning comprises assigning the local contextual trait associated with the note to the one or more prompts or alerts; (e) providing a registering function to allow one or more people to join the prompt and alert service, wherein the registering comprises defining one or more of the contextual traits for receiving a prompt or alert; and (f) the one or more people receiving one or more of the prompts or alerts based on one or more of the defined and registered contextual traits. | 1. A method for providing context aware prompts and alerts in a note taking system, the method comprising: (a) providing a note taking function to allow a user to create a note on a user device, wherein the note is stored; (b) enriching the note by associating a local contextual trait with the note, wherein the local contextual trait is automatically gathered at the user device while the user creates the note on the user device; (c) providing a binding function to establish one or more binding rules for the note, wherein the binding rules determine one or more services where the note is to be bound, and wherein the binding rules are changeable; (d) assigning one or more prompts or alerts to the note using a prompt and alert service, wherein the assigning comprises assigning the local contextual trait associated with the note to the one or more prompts or alerts; (e) providing a registering function to allow one or more people to join the prompt and alert service, wherein the registering comprises defining one or more of the contextual traits for receiving a prompt or alert; and (f) the one or more people receiving one or more of the prompts or alerts based on one or more of the defined and registered contextual traits. 5. The method as set forth in claim 1 , wherein the user is a professional service provider. | 0.95459 |
4,441,201 | 17 | 18 | 17. A speech synthesis system comprising: means for providing frames of speech data including digital speech values and frame rate data, wherein said frame rate data is indicative of a variable time interval between the start of a current frame of speech data and the start of the next successive frame of speech data; speech synthesizer means having an input for respectively receiving successive frames of speech data and for selectively converting said digital speech values into analog speech signals representative of human speech; frame control means responsive to said frame rate data for enabling the acceptance of a new frame of speech data by the input of said speech synthesizer means succeeding the previous frame of speech data, the time interval between the acceptance of successive new frames of speech data by the input of said speech synthesizer means as enabled by said frame control means being variable and being determined by said frame rate data of each frame of speech data, the input of said speech synthesizer means thereby being responsive to said frame control means for respectively receiving successive frames of speech data in variably timed relation to each other; and audio means coupled to said speech synthesizer means for converting said analog speech signals representative of human speech into audible sounds. | 17. A speech synthesis system comprising: means for providing frames of speech data including digital speech values and frame rate data, wherein said frame rate data is indicative of a variable time interval between the start of a current frame of speech data and the start of the next successive frame of speech data; speech synthesizer means having an input for respectively receiving successive frames of speech data and for selectively converting said digital speech values into analog speech signals representative of human speech; frame control means responsive to said frame rate data for enabling the acceptance of a new frame of speech data by the input of said speech synthesizer means succeeding the previous frame of speech data, the time interval between the acceptance of successive new frames of speech data by the input of said speech synthesizer means as enabled by said frame control means being variable and being determined by said frame rate data of each frame of speech data, the input of said speech synthesizer means thereby being responsive to said frame control means for respectively receiving successive frames of speech data in variably timed relation to each other; and audio means coupled to said speech synthesizer means for converting said analog speech signals representative of human speech into audible sounds. 18. The speech synthesizer system according to claim 17, further including interpolator means coupled to said frame control means for providing a variable number of interpolation calculations to define interpolated speech values between successive frames of speech data from last implemented speech data in which the number of interpolation calculations in a given instance is determined by said frame rate data; and said speech synthesizer means respectively receiving frames of speech data and interpolated speech values for selectively converting said digital speech values and said interpolated values thereof into said analog speech signals representative of human speech. | 0.62965 |
9,378,276 | 1 | 5 | 1. A method for generating navigation filters, the method comprising: receiving, at a processing circuit, a set of data entries comprising raw textual data, the data entries representing at least one of archetypal headings or archetypal items for a navigation filter; normalizing the data entries to convert the raw textual data into a standard form, the normalized data entries comprising at least one of potential navigation filter headings or potential navigation filter items; identifying occurrences of the normalized data entries in an electronic resource; determining a path to each of the identified occurrences of a normalized data entry in the electronic resource, wherein determining the path comprises: selecting a root element of the electronic resource; and for each identified occurrence of a normalized data entry in the electronic resource, identifying one or more intermediate tags of the electronic resource between the root element and the normalized data entry; and determining a path from the root element to the normalized data entry through the one or more intermediate tags; using the path to an identified occurrence to construct a query for at least one of potential navigation filter headings or potential navigation filter items that have the same path as the identified occurrence in the electronic resource; and generating a navigation filter by associating one or more of the potential navigation filter items with one of the potential navigation filter headings. | 1. A method for generating navigation filters, the method comprising: receiving, at a processing circuit, a set of data entries comprising raw textual data, the data entries representing at least one of archetypal headings or archetypal items for a navigation filter; normalizing the data entries to convert the raw textual data into a standard form, the normalized data entries comprising at least one of potential navigation filter headings or potential navigation filter items; identifying occurrences of the normalized data entries in an electronic resource; determining a path to each of the identified occurrences of a normalized data entry in the electronic resource, wherein determining the path comprises: selecting a root element of the electronic resource; and for each identified occurrence of a normalized data entry in the electronic resource, identifying one or more intermediate tags of the electronic resource between the root element and the normalized data entry; and determining a path from the root element to the normalized data entry through the one or more intermediate tags; using the path to an identified occurrence to construct a query for at least one of potential navigation filter headings or potential navigation filter items that have the same path as the identified occurrence in the electronic resource; and generating a navigation filter by associating one or more of the potential navigation filter items with one of the potential navigation filter headings. 5. The method of claim 1 , wherein identifying occurrences of the normalized data entries in the electronic resource comprises: identifying one or more tags in the electronic resource; parsing content text associated with each of the identified tags to determine whether the content text matches a normalized data entry; and marking an identified tag of the electronic resource with a navigation filter heading annotation in response to a determination that the content text associated with the identified tag matches one or more of the normalized data entries. | 0.644487 |
8,515,934 | 21 | 23 | 21. A system comprising: a storage medium having instructions stored thereon; and data processing apparatus programmed to execute the instructions to perform operations comprising: receiving a search query in a first language; receiving a plurality of search results responsive to the search query, wherein the search results comprise one or more first search results and a plurality of second search results, wherein each first result identifies a respective document in the first language and a corresponding respective document in a different second language, and wherein the second search results each identify a respective document in the first language; ordering the search results based on, at least, a respective number of documents identified by each of the search results; and providing the ordered search results in response to the search query. | 21. A system comprising: a storage medium having instructions stored thereon; and data processing apparatus programmed to execute the instructions to perform operations comprising: receiving a search query in a first language; receiving a plurality of search results responsive to the search query, wherein the search results comprise one or more first search results and a plurality of second search results, wherein each first result identifies a respective document in the first language and a corresponding respective document in a different second language, and wherein the second search results each identify a respective document in the first language; ordering the search results based on, at least, a respective number of documents identified by each of the search results; and providing the ordered search results in response to the search query. 23. The system of claim 21 wherein a particular document in the second language is a document originating in the second language concerning a topic similar to a topic of the corresponding document in the first language. | 0.665138 |
9,244,887 | 19 | 28 | 19. A system comprising: one or more processors; one or more computer-readable storage mediums containing instructions configured to cause the one or more processors to perform operations including: analyzing, using a time series engine, a distribution of unstructured time-stamped data to identify a plurality of potential time series data hierarchies for structuring the unstructured time-stamped data, wherein a potential time series data hierarchy is a framework for structuring the data through use of multiple time series, and wherein the time series engine is at a server layer of a time series computing system; performing, using the time series engine, an analysis of the plurality of potential time series data hierarchies, wherein performing the analysis of the plurality of potential time series data hierarchies includes determining an optimal time series frequency and a data sufficiency metric for each of the plurality of potential time series data hierarchies; comparing data sufficiency metrics for the plurality of potential time series data hierarchies; selecting a hierarchy of the plurality of potential time series data hierarchies based on the comparison of the data sufficiency metrics; structuring the unstructured time-stamped data into structured time-stamped data according to the hierarchy and the optimal time series frequency, wherein structuring the transformed time-stamped data into the structured time-stamped data is performed using a single pass of the unstructured time-stamped data through the time series engine; computing a plurality of transformations of the structured time-stamped data using the single pass of the structured time-stamped data through the time series engine; transforming the structured time-stamped data into transformed time-stamped data according to the plurality of transformations; and providing, using an application programming interface, the transformed time-stamped data for visual presentation. | 19. A system comprising: one or more processors; one or more computer-readable storage mediums containing instructions configured to cause the one or more processors to perform operations including: analyzing, using a time series engine, a distribution of unstructured time-stamped data to identify a plurality of potential time series data hierarchies for structuring the unstructured time-stamped data, wherein a potential time series data hierarchy is a framework for structuring the data through use of multiple time series, and wherein the time series engine is at a server layer of a time series computing system; performing, using the time series engine, an analysis of the plurality of potential time series data hierarchies, wherein performing the analysis of the plurality of potential time series data hierarchies includes determining an optimal time series frequency and a data sufficiency metric for each of the plurality of potential time series data hierarchies; comparing data sufficiency metrics for the plurality of potential time series data hierarchies; selecting a hierarchy of the plurality of potential time series data hierarchies based on the comparison of the data sufficiency metrics; structuring the unstructured time-stamped data into structured time-stamped data according to the hierarchy and the optimal time series frequency, wherein structuring the transformed time-stamped data into the structured time-stamped data is performed using a single pass of the unstructured time-stamped data through the time series engine; computing a plurality of transformations of the structured time-stamped data using the single pass of the structured time-stamped data through the time series engine; transforming the structured time-stamped data into transformed time-stamped data according to the plurality of transformations; and providing, using an application programming interface, the transformed time-stamped data for visual presentation. 28. The system of claim 19 , further comprising instructions, which when executed by the one or more processors, cause the computing device to perform operations including: selecting additional hierarchies of the plurality of potential time series data hierarchies based on the comparison of the data sufficiency metrics; and structuring the unstructured time-stamped data into structured time-stamped data according to the additional hierarchies and the optimal time series frequency, wherein structuring the unstructured time-stamped data using a hierarchy of the additional hierarchies is executed with a corresponding process thread. | 0.500784 |
9,454,517 | 1 | 5 | 1. A device, comprising: a single touch-screen display configured to display a virtual keyboard and a document area displaying an editing document inputted via the virtual keyboard; and a controller configured to maintain displaying of the virtual keyboard on the single touch-screen display while switching the editing document over from a first document to a second document in a case in which a touch operation to switch the editing document over from the first document to the second document is performed in the document area displayed on the single touch-screen display, wherein in the case in which the touch operation to switch the editing document over from the first document to the second document is performed, the controller is configured to cause the single touch-screen display to display that the first document displayed in the document area moves in a direction of the touch operation, and cause the single touch-screen display to display, without superimposing on the virtual keyboard, an indication confirming whether the first document should be stored. | 1. A device, comprising: a single touch-screen display configured to display a virtual keyboard and a document area displaying an editing document inputted via the virtual keyboard; and a controller configured to maintain displaying of the virtual keyboard on the single touch-screen display while switching the editing document over from a first document to a second document in a case in which a touch operation to switch the editing document over from the first document to the second document is performed in the document area displayed on the single touch-screen display, wherein in the case in which the touch operation to switch the editing document over from the first document to the second document is performed, the controller is configured to cause the single touch-screen display to display that the first document displayed in the document area moves in a direction of the touch operation, and cause the single touch-screen display to display, without superimposing on the virtual keyboard, an indication confirming whether the first document should be stored. 5. The device according to claim 1 , wherein, in a case in which a second gesture is detected through the single touch-screen display, the controller is configured to stop an editor application that edits documents. | 0.777893 |
7,505,968 | 1 | 8 | 1. A method of evaluating a particular document relating to property, the method comprising: from a set of pre-selected documents, selecting the particular document, wherein each pre-selected document has associated therewith one or more search linkages that identify how the pre-selected document was selected, using user-supplied inputs, from a larger set of documents relating to property and wherein the set of pre-selected documents also have associated therewith one or more organizational linkages, each of which organizational linkages identifies a relationship between at least two pre-selected documents; using the one or more search linkages associated with the particular document to determine a relevance factor associated with the document, wherein using the one or more search linkages associated with the particular document to determine a relevance factor associated with the document comprises determining a baseline relevance factor and thereafter adjusting the relevance factor based on one or more specific comparisons; further comprising using the one or more organizational linkages to determine the relevance factor associated with the particular document, wherein using the one or more organizational linkages to determine the relevance factor associated with the particular document comprises adjusting a baseline relevance factor if a record date of the particular document predates a specific good stop associated with the document; and displaying to a user information relating to the document, wherein the information includes the relevance factor. | 1. A method of evaluating a particular document relating to property, the method comprising: from a set of pre-selected documents, selecting the particular document, wherein each pre-selected document has associated therewith one or more search linkages that identify how the pre-selected document was selected, using user-supplied inputs, from a larger set of documents relating to property and wherein the set of pre-selected documents also have associated therewith one or more organizational linkages, each of which organizational linkages identifies a relationship between at least two pre-selected documents; using the one or more search linkages associated with the particular document to determine a relevance factor associated with the document, wherein using the one or more search linkages associated with the particular document to determine a relevance factor associated with the document comprises determining a baseline relevance factor and thereafter adjusting the relevance factor based on one or more specific comparisons; further comprising using the one or more organizational linkages to determine the relevance factor associated with the particular document, wherein using the one or more organizational linkages to determine the relevance factor associated with the particular document comprises adjusting a baseline relevance factor if a record date of the particular document predates a specific good stop associated with the document; and displaying to a user information relating to the document, wherein the information includes the relevance factor. 8. The method of claim 1 , wherein adjusting the relevance factor based on one or more specific comparisons comprises adjusting the baseline relevance factor based on a comparison between an address associated with the particular document and an address supplied by a user. | 0.776596 |
9,501,469 | 1 | 7 | 1. A method performed by at least one computer processor, the method comprising: (A) obtaining, from a user, first data representing a first part of a sentence, wherein the first part of the sentence comprises a first one of a subject, a predicate, and an object; (B) obtaining, from the user, second data representing a second part of the sentence, wherein the second part of the sentence comprises a second one of the subject, the predicate, and the object; (C) identifying a synonym of the first part of the sentence; (D) identifying a synonym of the second part of the sentence; (E) forming a first query from the synonym of the first part of the sentence and the synonym of the second part of the sentence, comprising: (E)(1) selecting a first form for the first query, wherein the first form specifies a first one of the following sequences: subject, predicate, object; subject, predicate; subject, object; predicate, object; (E)(2) forming the first query in the first form the forming comprising: (E)(2)(a) if the first form specifies the sequence subject, predicate, object, then forming the first query to include a subject followed by a predicate followed by an object, wherein the subject, predicate, and object are selected from the first part of the sentence, the second part of the sentence, the synonym of the first part of the sentence, and the synonym of the second part of the sentence; (E)(2)(b) if the first form specifies the sequence subject, predicate, then forming the first query to include a subject followed by a predicate, wherein the subject and predicate are selected from the first part of the sentence, the second part of the sentence, the synonym of the first part of the sentence, and the synonym of the second part of the sentence; (E)(2)(c) if the first form specifies the sequence subject, object, then forming the first query to include a subject followed by an object, wherein the subject and object are selected from the first part of the sentence, the second part of the sentence, the synonym of the first part of the sentence, and the synonym of the second part of the sentence; and (E)(2)(d) if the first form specifies the sequence predicate, object, then forming the first query to include a predicate followed by an object, wherein the predicate and object are selected from the first part of the sentence, the second part of the sentence, the synonym of the first part of the sentence, and the synonym of the second part of the sentence; and (F) searching a dataset in memory using the first query to identify a first subset of the dataset; (G) providing, to the user, executed by the computer processor, output representing the subset of the dataset wherein the sentence differs from the first query. | 1. A method performed by at least one computer processor, the method comprising: (A) obtaining, from a user, first data representing a first part of a sentence, wherein the first part of the sentence comprises a first one of a subject, a predicate, and an object; (B) obtaining, from the user, second data representing a second part of the sentence, wherein the second part of the sentence comprises a second one of the subject, the predicate, and the object; (C) identifying a synonym of the first part of the sentence; (D) identifying a synonym of the second part of the sentence; (E) forming a first query from the synonym of the first part of the sentence and the synonym of the second part of the sentence, comprising: (E)(1) selecting a first form for the first query, wherein the first form specifies a first one of the following sequences: subject, predicate, object; subject, predicate; subject, object; predicate, object; (E)(2) forming the first query in the first form the forming comprising: (E)(2)(a) if the first form specifies the sequence subject, predicate, object, then forming the first query to include a subject followed by a predicate followed by an object, wherein the subject, predicate, and object are selected from the first part of the sentence, the second part of the sentence, the synonym of the first part of the sentence, and the synonym of the second part of the sentence; (E)(2)(b) if the first form specifies the sequence subject, predicate, then forming the first query to include a subject followed by a predicate, wherein the subject and predicate are selected from the first part of the sentence, the second part of the sentence, the synonym of the first part of the sentence, and the synonym of the second part of the sentence; (E)(2)(c) if the first form specifies the sequence subject, object, then forming the first query to include a subject followed by an object, wherein the subject and object are selected from the first part of the sentence, the second part of the sentence, the synonym of the first part of the sentence, and the synonym of the second part of the sentence; and (E)(2)(d) if the first form specifies the sequence predicate, object, then forming the first query to include a predicate followed by an object, wherein the predicate and object are selected from the first part of the sentence, the second part of the sentence, the synonym of the first part of the sentence, and the synonym of the second part of the sentence; and (F) searching a dataset in memory using the first query to identify a first subset of the dataset; (G) providing, to the user, executed by the computer processor, output representing the subset of the dataset wherein the sentence differs from the first query. 7. The method of claim 1 , wherein (C) comprises: (C)(1) identifying a plurality of synonyms of the first part of the sentence; (C)(2) providing output representing the plurality of synonyms of the first part of the sentence; and (C)(3) receiving user input selecting one of the plurality of synonyms of the first part of the sentence. | 0.787437 |
6,144,938 | 43 | 70 | 43. A method for a voice user interface with personality, the method comprising: storing a recognition grammar in a memory, the recognition grammar comprising multiple phrases that a virtual assistant with a personality can recognize when spoken by a user, the recognition grammar being selected based on the personality of the virtual assistant; executing a voice user interface, the voice user interface outputting first voice signals, the voice user interface recognizing speech signals; and controlling the voice user interface to provide the voice user interface with a verbal personality. | 43. A method for a voice user interface with personality, the method comprising: storing a recognition grammar in a memory, the recognition grammar comprising multiple phrases that a virtual assistant with a personality can recognize when spoken by a user, the recognition grammar being selected based on the personality of the virtual assistant; executing a voice user interface, the voice user interface outputting first voice signals, the voice user interface recognizing speech signals; and controlling the voice user interface to provide the voice user interface with a verbal personality. 70. The method as recited in claim 43 wherein the controlling the voice user interface comprises selecting an approximation prompt. | 0.861814 |
9,600,842 | 82 | 90 | 82. The computer program product of claim 29 , wherein the computer program product is configured for identifying taxonomy software elements in connection with at least one source data document. | 82. The computer program product of claim 29 , wherein the computer program product is configured for identifying taxonomy software elements in connection with at least one source data document. 90. The computer program product of claim 82 , wherein the computer program product is configured such that at least one of: at least one of said taxonomy software elements includes a Numerator Document Object Model; said taxonomy software elements include at least one attribute; said taxonomy software elements include a level attribute; said taxonomy software elements reflect the multiple hierarchical relationships by representing corresponding elements of an eXtensible Business Reporting Language (XBRL) taxonomy document; said taxonomy software elements reflect the multiple hierarchical relationships by having a format associated with the hierarchal relationships; or said at least one computer-readable semantic tag includes at least one of a schema tag, an annotation tag, an element tag, a documentation tag, an appinfo tag, a rollup tag, a label tag, a reference tag, or an XBLR tag. | 0.922912 |
8,644,755 | 10 | 11 | 10. Software for managing offline presentation of electronic learning materials, the software comprising computer readable instructions embodied on tangible media and operable when executed to: generate electronic learning materials for offline presentation, wherein the electronic learning materials include a plurality of knowledge items; assign the plurality of knowledge items to a plurality of identification strings, wherein each of the plurality of knowledge items is mapped to a different identification string in the plurality of identification strings; store the assignment between the plurality of knowledge items to the plurality of identification strings; transmit to a learner device the generated electronic learning materials and the plurality of identification strings, wherein the plurality of identification strings are presented to the learner during offline presentation in connection with completion of assigned knowledge items; receive, from a user device different from the learner device, an identification string from the plurality of identification strings, wherein the identification string is presented to the learner during the offline presentation of in connection with completion of an assigned knowledge item in the generated electronic learning materials, and the learner transmits the identification string using the user device different from the learner device; and determine progress of the learner with respect to the generated electronic learning materials based on comparing the received identification string to the stored assignment of identification strings. | 10. Software for managing offline presentation of electronic learning materials, the software comprising computer readable instructions embodied on tangible media and operable when executed to: generate electronic learning materials for offline presentation, wherein the electronic learning materials include a plurality of knowledge items; assign the plurality of knowledge items to a plurality of identification strings, wherein each of the plurality of knowledge items is mapped to a different identification string in the plurality of identification strings; store the assignment between the plurality of knowledge items to the plurality of identification strings; transmit to a learner device the generated electronic learning materials and the plurality of identification strings, wherein the plurality of identification strings are presented to the learner during offline presentation in connection with completion of assigned knowledge items; receive, from a user device different from the learner device, an identification string from the plurality of identification strings, wherein the identification string is presented to the learner during the offline presentation of in connection with completion of an assigned knowledge item in the generated electronic learning materials, and the learner transmits the identification string using the user device different from the learner device; and determine progress of the learner with respect to the generated electronic learning materials based on comparing the received identification string to the stored assignment of identification strings. 11. The software of claim 10 further operable to identifying a listing of words, wherein assigning the plurality of identification strings includes selecting at least one word from the listing of words. | 0.815018 |
8,700,652 | 7 | 9 | 7. A method to generate a synonym dictionary, the method comprising: generating demand information based on a first plurality of queries, the generating the demand information further comprising: identifying search results based on a first query, the search results including a first item, receiving a selection over a network from a user that identifies the first item in the search results and responsive to the receiving the selection: identifying the first item as a first product, and storing an association between the first query and the first product as an instance of demand information, the generating being performed by using a computer processor; identifying a second plurality of queries as a first cluster of queries from the first plurality of queries based on the demand information, the demand information associated with the first cluster of queries is associated with a first plurality of search results that are associated with selections that identify items that are identified as the first product; and identifying a first synonym set based on an association map that comprises a first plurality of constraints identified from the second plurality of queries, the second plurality of queries including a second query including at least two constraints and a third query including at least two constraints, the identifying the first synonym set including utilizing the association map to identify at least one constraint in the second query that matches at least one constraint in the third query; and storing the first synonym set in a synonym dictionary. | 7. A method to generate a synonym dictionary, the method comprising: generating demand information based on a first plurality of queries, the generating the demand information further comprising: identifying search results based on a first query, the search results including a first item, receiving a selection over a network from a user that identifies the first item in the search results and responsive to the receiving the selection: identifying the first item as a first product, and storing an association between the first query and the first product as an instance of demand information, the generating being performed by using a computer processor; identifying a second plurality of queries as a first cluster of queries from the first plurality of queries based on the demand information, the demand information associated with the first cluster of queries is associated with a first plurality of search results that are associated with selections that identify items that are identified as the first product; and identifying a first synonym set based on an association map that comprises a first plurality of constraints identified from the second plurality of queries, the second plurality of queries including a second query including at least two constraints and a third query including at least two constraints, the identifying the first synonym set including utilizing the association map to identify at least one constraint in the second query that matches at least one constraint in the third query; and storing the first synonym set in a synonym dictionary. 9. The method of claim 7 , wherein the first cluster of queries comprises the first query and wherein the first query comprises a first and second constraint and wherein the identifying the first synonym set comprises generating a distance matrix that identifies a distance between the first and second constraint. | 0.735245 |
7,636,886 | 1 | 8 | 1. A computer-implemented method for organizing a plurality of pages of an electronic tax document based on a plurality of tax preparation categories, comprising: defining a bookmark profile comprising a plurality of tax preparation categories listed in a predefined bookmark order; defining a first bookmark and a second bookmark, the first bookmark and the second bookmark each containing at least one tax preparation category; associating the first bookmark with a first page of the electronic tax document; associating the second bookmark with a second page of the electronic tax document, the second page subsequent in order to the first page in the electronic tax document; associating the first bookmark with a first plurality of pages corresponding to all pages of the electronic tax document between the first page and the second page; associating the second bookmark with a second plurality of pages corresponding to all pages of the electronic tax document subsequent to the second page; displaying the first bookmark and the second bookmark; and arranging the first and second plurality of pages of the electronic tax document into the predefined bookmark order based on the plurality of tax preparation categories, the predefined bookmark order different than a previous order of the pages of the electronic tax document. | 1. A computer-implemented method for organizing a plurality of pages of an electronic tax document based on a plurality of tax preparation categories, comprising: defining a bookmark profile comprising a plurality of tax preparation categories listed in a predefined bookmark order; defining a first bookmark and a second bookmark, the first bookmark and the second bookmark each containing at least one tax preparation category; associating the first bookmark with a first page of the electronic tax document; associating the second bookmark with a second page of the electronic tax document, the second page subsequent in order to the first page in the electronic tax document; associating the first bookmark with a first plurality of pages corresponding to all pages of the electronic tax document between the first page and the second page; associating the second bookmark with a second plurality of pages corresponding to all pages of the electronic tax document subsequent to the second page; displaying the first bookmark and the second bookmark; and arranging the first and second plurality of pages of the electronic tax document into the predefined bookmark order based on the plurality of tax preparation categories, the predefined bookmark order different than a previous order of the pages of the electronic tax document. 8. The method of claim 1 , further comprising: generating a table of contents using a bookmark profile; determining the number of pages of the table of contents; shifting the plurality of pages to accommodate for the table of contents; and inserting the table of contents before the plurality of pages. | 0.62531 |
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