sentence1
stringlengths 40
15.9k
| sentence2
stringlengths 88
20k
| label
float64 0.5
0.99
|
|---|---|---|
18. A method as recited in claim 13 , wherein the attempting comprises: identifying a characteristic associated with the subsequent speech and comparing the characteristic to a known characteristic associated with the user. | 18. A method as recited in claim 13 , wherein the attempting comprises: identifying a characteristic associated with the subsequent speech and comparing the characteristic to a known characteristic associated with the user. 19. A method as recited in claim 18 , wherein the characteristic comprises a grammar of the subsequent speech, a choice of words of the subsequent speech, or a location within the environment from which the subsequent speech was uttered. | 0.922645 |
38. The system of claim 36 , wherein the request is for pseudonymous access at the RP, and the pseudonymous access is linkable to a pseudonym previously registered at the RP. | 38. The system of claim 36 , wherein the request is for pseudonymous access at the RP, and the pseudonymous access is linkable to a pseudonym previously registered at the RP. 39. The system of claim 38 , wherein the operations further comprise: receiving proof of possession of the pseudonym previously registered at the RP, wherein the proof is made by a zero-knowledge proof, by signing, or by decrypting a challenge. | 0.920294 |
3. The method of claim 1 wherein during step (c) the computing system searches for and identifies subject/predicate pair counterparts of temporal components of said first electronic document located in said closest content match. | 3. The method of claim 1 wherein during step (c) the computing system searches for and identifies subject/predicate pair counterparts of temporal components of said first electronic document located in said closest content match. 23. The method of claim 3 wherein said subject/predicate pairs are weighted by the computing system in accordance with their temporal significance to determine said temporal related value. | 0.938166 |
14. A non-transitory computer-readable medium that stores instructions, the instructions comprising: one or more instructions which, when executed by one or more processors, cause the one or more processors to receive a data feed, the data feed including a web feed, the web feed including un-secure content and a link associated with secure content, the secure content including at least one text content, image content, or video content; one or more instructions which, when executed by the one or more processors, cause the one or more processors to provide, in a document, the un-secure content and the link associated with the secure content; one or more instructions which, when executed by the one or more processors, cause the one or more processors to detect selection of the link; one or more instructions which, when executed by the one or more processors, cause the one or more processors to send a request for the secure content based on the detected selection of the link, the request for the secure content being sent to a device associated with the secure content; one or more instructions which, when executed by the one or more processors, cause the one or more processors to receive a request for authentication information associated with the secure content after sending the request for the secure content, the request for authentication information being received from the device; one or more instructions which, when executed by the one or more processors, cause the one or more processors to send authentication data, to the device, based on receiving the request for the authentication information; one or more instructions which, when executed by the one or more processors, cause the one or more processors to receive the secure content, from the device, based on sending the authentication data; and one or more instructions which, when executed by the one or more processors, cause the one or more processors to replace, in the document, the link with the received secure content, the one or more instructions to replace the link include one or more instructions to provide the at least one of the text content, the image content, or the video content within the document. | 14. A non-transitory computer-readable medium that stores instructions, the instructions comprising: one or more instructions which, when executed by one or more processors, cause the one or more processors to receive a data feed, the data feed including a web feed, the web feed including un-secure content and a link associated with secure content, the secure content including at least one text content, image content, or video content; one or more instructions which, when executed by the one or more processors, cause the one or more processors to provide, in a document, the un-secure content and the link associated with the secure content; one or more instructions which, when executed by the one or more processors, cause the one or more processors to detect selection of the link; one or more instructions which, when executed by the one or more processors, cause the one or more processors to send a request for the secure content based on the detected selection of the link, the request for the secure content being sent to a device associated with the secure content; one or more instructions which, when executed by the one or more processors, cause the one or more processors to receive a request for authentication information associated with the secure content after sending the request for the secure content, the request for authentication information being received from the device; one or more instructions which, when executed by the one or more processors, cause the one or more processors to send authentication data, to the device, based on receiving the request for the authentication information; one or more instructions which, when executed by the one or more processors, cause the one or more processors to receive the secure content, from the device, based on sending the authentication data; and one or more instructions which, when executed by the one or more processors, cause the one or more processors to replace, in the document, the link with the received secure content, the one or more instructions to replace the link include one or more instructions to provide the at least one of the text content, the image content, or the video content within the document. 18. The non-transitory computer-readable medium of claim 14 , where the one or more instructions to provide the link includes: one or more instructions to provide, in the document, a plurality of entries associated with the data feed, where each of the plurality of entries includes different un-secure content and a respective link associated with different secure content. | 0.512398 |
1. A video conferencing method, comprising: receiving a video sequence including video data and audio data associated with the video data; compressing the video data using a first process to generate compressed video data; compressing the audio data using a second process to generate compressed audio data; associating a first time stamp with the compressed video data, the first time stamp being indicative of a time associated with compression of the video data; associating a second time stamp with the compressed audio data, the second time stamp indicating a time associated with compression of the audio data; and transmitting the compressed video data, first time stamp, compressed audio data, and second time stamp. | 1. A video conferencing method, comprising: receiving a video sequence including video data and audio data associated with the video data; compressing the video data using a first process to generate compressed video data; compressing the audio data using a second process to generate compressed audio data; associating a first time stamp with the compressed video data, the first time stamp being indicative of a time associated with compression of the video data; associating a second time stamp with the compressed audio data, the second time stamp indicating a time associated with compression of the audio data; and transmitting the compressed video data, first time stamp, compressed audio data, and second time stamp. 4. A method as in claim 1 , further comprising generating text associated with the video and audio data, and storing the text along with another time stamp that synchronizes the text with the video and audio data. | 0.567938 |
87. A system for preparing personalized communication documents for a plurality of consumer entities comprising: a computing system; one or more electronic databases coupled to the computing system; one or more software routines executing on the computing system which are adapted to: i) process data from a first electronic data file in said one or more electronic databases containing financial product and/or financial service data for the customized communications, which financial product and/or financial service data includes a plurality of separate descriptions, characteristics and/or identifications for at least a first financial product and/or financial service; ii) process data from a second electronic data file in said one or more electronic databases containing customer information for certain of the plurality of consumer entities, said customer information including customer related data in addition to, but not excluding, any one or more of customer name, customer address and customer account information obtained for said certain of the plurality of consumer entities; iii) perform an automated composition process to compose an electronic document file representing a customized communication document for at least one of said certain of the plurality of the consumer entities, said customized communication document comprising information relating to an offering for one or more financial products or services; wherein at least some content included in said customized communication document is customized content generated for said electronic file which includes variable data specifically for a consumer entity automatically derived and/or calculated from said first electronic data file and/or said second electronic data file during said automated composition process for said electronic file and said consumer entity. | 87. A system for preparing personalized communication documents for a plurality of consumer entities comprising: a computing system; one or more electronic databases coupled to the computing system; one or more software routines executing on the computing system which are adapted to: i) process data from a first electronic data file in said one or more electronic databases containing financial product and/or financial service data for the customized communications, which financial product and/or financial service data includes a plurality of separate descriptions, characteristics and/or identifications for at least a first financial product and/or financial service; ii) process data from a second electronic data file in said one or more electronic databases containing customer information for certain of the plurality of consumer entities, said customer information including customer related data in addition to, but not excluding, any one or more of customer name, customer address and customer account information obtained for said certain of the plurality of consumer entities; iii) perform an automated composition process to compose an electronic document file representing a customized communication document for at least one of said certain of the plurality of the consumer entities, said customized communication document comprising information relating to an offering for one or more financial products or services; wherein at least some content included in said customized communication document is customized content generated for said electronic file which includes variable data specifically for a consumer entity automatically derived and/or calculated from said first electronic data file and/or said second electronic data file during said automated composition process for said electronic file and said consumer entity. 97. The system of claim 87 , wherein successive customized communication documents can also pertain to two or more different products or services. | 0.599785 |
2. The method of claim 1 , further comprising: after removal of the author from the first group, determining respective likeness scores of one or more particular users in relation to the first user and, based thereon, adding the particular users to the first group or removing the particular users from the first group. | 2. The method of claim 1 , further comprising: after removal of the author from the first group, determining respective likeness scores of one or more particular users in relation to the first user and, based thereon, adding the particular users to the first group or removing the particular users from the first group. 4. The method of claim 2 , wherein adding the particular users to the first group further comprises: determining that a second group of one or more of the plurality of users have respective likeness scores that satisfy the threshold after removal of the author from the first group; and adding the second group of users to the first group of users such that each user of the second group is permitted to send anonymous messages through a respective account to the first user. | 0.783541 |
1. A computer-executed method, comprising: accessing a repository comprising a first time based media event and a second time based media event; determining a first population of social media users who are aligned with the first time based media event; determining a second population of social media users who are aligned with the second time based media event; and determining an affinity score indicative of affinity by social media users for both the first and second time based media events, the affinity score based on an intersection of social media users in the first and second populations. | 1. A computer-executed method, comprising: accessing a repository comprising a first time based media event and a second time based media event; determining a first population of social media users who are aligned with the first time based media event; determining a second population of social media users who are aligned with the second time based media event; and determining an affinity score indicative of affinity by social media users for both the first and second time based media events, the affinity score based on an intersection of social media users in the first and second populations. 3. The computer-executed method of claim 1 , wherein determining that the at least one social media content item authored by the social user is aligned to the first time based media event comprises: determining a confidence score indicative of a probability that the social media content items is relevant to the time based media event; and aligning the social media content item with the time based media event based on the confidence score. | 0.51566 |
1. A method of including search result based content in a web page, comprising: receiving a search criteria, wherein the search criteria specifies that a search result based content includes content from pages that match a language with which the web page is associated, and wherein the language comprises a primary language associated with the web page; receiving a display format; receiving a life cycle state; receiving an update schedule; receiving an indication that the search result based content is to be included in the web page; generating automatically for the web page a computer script or code configured to enable the search result based content to be retrieved in accordance with the search criteria, display format, life cycle state and update schedule; determining based at least in part on the update schedule to use the computer script or code to perform a search; receiving a set of search results of the search matching the search criteria and the life cycle state; including in the search result based content a content from a page that satisfies the search criteria and is associated with a secondary or default language associated with the web page, in the event a corresponding page associated with the primary language is not found; and using the set of search results to generate for the web page automatically the search result based content to be included in the web page based at least in part on the display format. | 1. A method of including search result based content in a web page, comprising: receiving a search criteria, wherein the search criteria specifies that a search result based content includes content from pages that match a language with which the web page is associated, and wherein the language comprises a primary language associated with the web page; receiving a display format; receiving a life cycle state; receiving an update schedule; receiving an indication that the search result based content is to be included in the web page; generating automatically for the web page a computer script or code configured to enable the search result based content to be retrieved in accordance with the search criteria, display format, life cycle state and update schedule; determining based at least in part on the update schedule to use the computer script or code to perform a search; receiving a set of search results of the search matching the search criteria and the life cycle state; including in the search result based content a content from a page that satisfies the search criteria and is associated with a secondary or default language associated with the web page, in the event a corresponding page associated with the primary language is not found; and using the set of search results to generate for the web page automatically the search result based content to be included in the web page based at least in part on the display format. 20. A method as recited in claim 1 , wherein the display format dictates how the search result based content is to be organized and displayed on the web page. | 0.525851 |
9. A computer implemented method for website editing, the method comprising: providing an editor interface in a browser simultaneous with a website, the editor interface for editing the website, the editor interface comprising: a menu design interface, the menu design interface for allowing a user to modify media content of the website and comprising a simulated website menu representing a website menu; wherein the menu design interface allows a user to drag and drop media content from a media library to a simulated website menu to create an associated webpage; receiving user input through the editor interface; modifying website data corresponding to the website based on the user input; and updating display of the website within the browser based on the modified website data, wherein the website is updated in real-time based on the user input received via the editor interface. | 9. A computer implemented method for website editing, the method comprising: providing an editor interface in a browser simultaneous with a website, the editor interface for editing the website, the editor interface comprising: a menu design interface, the menu design interface for allowing a user to modify media content of the website and comprising a simulated website menu representing a website menu; wherein the menu design interface allows a user to drag and drop media content from a media library to a simulated website menu to create an associated webpage; receiving user input through the editor interface; modifying website data corresponding to the website based on the user input; and updating display of the website within the browser based on the modified website data, wherein the website is updated in real-time based on the user input received via the editor interface. 11. The method of claim 9 , further comprising displaying an editor control object selectable to expand the editor interface. | 0.683788 |
12. The method of claim 1 comprising the further steps of: receiving from the user one or more selections of documents from the initial and/or revised lists of documents presented to the user; and adding said selections to a list of user-selected documents. | 12. The method of claim 1 comprising the further steps of: receiving from the user one or more selections of documents from the initial and/or revised lists of documents presented to the user; and adding said selections to a list of user-selected documents. 13. The method of claim 12 wherein documents included in the list of user-selected documents are excluded from subsequent further lists of documents generated from within the corpus. | 0.944391 |
9. A non-transitory computer-readable storage medium storing a plurality of instructions for maintaining a calendar of a user, the plurality of instructions comprising functionality to: access an online profile of the user at a first social networking website; identify, on the online profile, a first post referencing a physical location, wherein the first post is created on the first social networking website by a client application of the user on a first calendar date, and wherein the first post comprises a timestamp of the first calendar data; identify, on the online profile, a second post referencing the physical location, wherein the second post is created on the first social networking website by a client application of the user on a second calendar date, and wherein the second post comprises a timestamp of the second calendar date; calculate, and based on the timestamp of first calendar date and the timestamp of second calendar date, a first time period between user visits to the physical location; estimate, based on the first time period between user visits, a future calendar date when the user is expected to visit the physical location; create, in the calendar, an event scheduled to occur at the physical location and on the future calendar date; determine, after the future calendar date and based on the first social networking website and a second social networking website, that the user did not visit the physical location on the future calendar date; identify, on the first social networking website, a third post referencing the physical location, wherein the third post is entered by the user on a third calendar date, wherein the third post comprises a timestamp of the third calendar date, and wherein the third calendar date is after the future calendar date; calculate a modified first time period between user visits based on the third calendar date; estimate, based on the modified first time period between user visits, a new future calendar date when the user is expected to visit the physical location; and create, in the calendar, a new event corresponding to the new future calendar date. | 9. A non-transitory computer-readable storage medium storing a plurality of instructions for maintaining a calendar of a user, the plurality of instructions comprising functionality to: access an online profile of the user at a first social networking website; identify, on the online profile, a first post referencing a physical location, wherein the first post is created on the first social networking website by a client application of the user on a first calendar date, and wherein the first post comprises a timestamp of the first calendar data; identify, on the online profile, a second post referencing the physical location, wherein the second post is created on the first social networking website by a client application of the user on a second calendar date, and wherein the second post comprises a timestamp of the second calendar date; calculate, and based on the timestamp of first calendar date and the timestamp of second calendar date, a first time period between user visits to the physical location; estimate, based on the first time period between user visits, a future calendar date when the user is expected to visit the physical location; create, in the calendar, an event scheduled to occur at the physical location and on the future calendar date; determine, after the future calendar date and based on the first social networking website and a second social networking website, that the user did not visit the physical location on the future calendar date; identify, on the first social networking website, a third post referencing the physical location, wherein the third post is entered by the user on a third calendar date, wherein the third post comprises a timestamp of the third calendar date, and wherein the third calendar date is after the future calendar date; calculate a modified first time period between user visits based on the third calendar date; estimate, based on the modified first time period between user visits, a new future calendar date when the user is expected to visit the physical location; and create, in the calendar, a new event corresponding to the new future calendar date. 12. The non-transitory computer-readable storage medium of claim 9 , wherein identifying the first post comprises: identifying, on the first social networking website, an image uploaded by the user; and extracting, from the image, a plurality of geospatial metadata comprising a global positioning system (GPS) coordinate of the physical location. | 0.563973 |
18. A system comprising: a data storage system having documents stored therein, wherein the documents have a uniform organizational structure that characterizes at least some common aspects of an organizational structure of the documents, the uniform organizational structure defining the different parts of the documents; data analysis logic configured to analyze the documents and to identify documents that satisfy search criteria received from a user; and user interface logic configured to generate a user interface, the user interface logic configured to generate a plurality of charts for display to the user, wherein each chart presents data relating to the identified documents that satisfy a search criteria received from the user, wherein each of the plurality of charts are interactive such that each of the plurality of charts is configured to receive a user selection of a portion of an individual one of the plurality of charts to specify modified search criteria, and wherein the user interface logic is configured to receive modified search criteria from the user via one of the charts and to update the remaining charts to reflect the modified search criteria; wherein the plurality of charts includes: a geography chart including a plurality of geographic regions reflecting the data regarding the identified documents that satisfy the search criteria associated with each of the plurality of geographic regions, wherein the geography chart is configured to receive a user selection of at least one of the plurality of geographic regions via the geography chart to provide the modified search criteria, a timeline reflecting the data regarding the identified documents that satisfy the search criteria as a function of time, wherein the timeline is configured to receive a user adjustment of the timeline to focus on a specific time range to provide the modified search criteria, a project ownership chart that reflects the data regarding the identified documents that satisfy the search criteria as a function of a plurality of types of ownership entities, wherein the project ownership chart is configured to receive a user selection of a type of ownership entity via the project ownership chart to provide the modified search criteria, and a document format chart that reflects the data regarding the identified documents that satisfy the search criteria as a function of different parts of the construction project specification documents, wherein the document format chart is configured to receive a user selection of a specific part of the construction project specification documents via the document format chart to provide the modified search criteria. | 18. A system comprising: a data storage system having documents stored therein, wherein the documents have a uniform organizational structure that characterizes at least some common aspects of an organizational structure of the documents, the uniform organizational structure defining the different parts of the documents; data analysis logic configured to analyze the documents and to identify documents that satisfy search criteria received from a user; and user interface logic configured to generate a user interface, the user interface logic configured to generate a plurality of charts for display to the user, wherein each chart presents data relating to the identified documents that satisfy a search criteria received from the user, wherein each of the plurality of charts are interactive such that each of the plurality of charts is configured to receive a user selection of a portion of an individual one of the plurality of charts to specify modified search criteria, and wherein the user interface logic is configured to receive modified search criteria from the user via one of the charts and to update the remaining charts to reflect the modified search criteria; wherein the plurality of charts includes: a geography chart including a plurality of geographic regions reflecting the data regarding the identified documents that satisfy the search criteria associated with each of the plurality of geographic regions, wherein the geography chart is configured to receive a user selection of at least one of the plurality of geographic regions via the geography chart to provide the modified search criteria, a timeline reflecting the data regarding the identified documents that satisfy the search criteria as a function of time, wherein the timeline is configured to receive a user adjustment of the timeline to focus on a specific time range to provide the modified search criteria, a project ownership chart that reflects the data regarding the identified documents that satisfy the search criteria as a function of a plurality of types of ownership entities, wherein the project ownership chart is configured to receive a user selection of a type of ownership entity via the project ownership chart to provide the modified search criteria, and a document format chart that reflects the data regarding the identified documents that satisfy the search criteria as a function of different parts of the construction project specification documents, wherein the document format chart is configured to receive a user selection of a specific part of the construction project specification documents via the document format chart to provide the modified search criteria. 20. A system as defined in claim 18 , wherein the plurality of charts include a chart reflecting portions of the documents that satisfy the search criteria. | 0.553699 |
8. The machine system of claim 1 wherein: the first presentations include automatically presented invitations to information exchange forums which forums include or have further invited thereto, one or more persons who are topically contemporaneous strangers to the first user, where such topically contemporaneous strangers are persons not known to the first user to contemporaneously have substantially same topics of focus or of interest in their minds as a relatively current topic of focus or of interest that the first user is determined by the machine system to more likely than not have in mind, and the one or more topically contemporaneous strangers are predetermined by the machine system to contemporaneously and more likely than not have substantially same topics of focus or of interest in their minds as the relatively current topic of focus or of interest that the first user is predetermined by the machine system to likely have in his or her mind; wherein said likely topics of focus or of interest are determined by the machine system based on specific sub-portions of respective firstly presented content that the first user and the one or more persons respectively centered their attention upon. | 8. The machine system of claim 1 wherein: the first presentations include automatically presented invitations to information exchange forums which forums include or have further invited thereto, one or more persons who are topically contemporaneous strangers to the first user, where such topically contemporaneous strangers are persons not known to the first user to contemporaneously have substantially same topics of focus or of interest in their minds as a relatively current topic of focus or of interest that the first user is determined by the machine system to more likely than not have in mind, and the one or more topically contemporaneous strangers are predetermined by the machine system to contemporaneously and more likely than not have substantially same topics of focus or of interest in their minds as the relatively current topic of focus or of interest that the first user is predetermined by the machine system to likely have in his or her mind; wherein said likely topics of focus or of interest are determined by the machine system based on specific sub-portions of respective firstly presented content that the first user and the one or more persons respectively centered their attention upon. 10. The machine system of claim 8 wherein said contemporaneousness of substantially same topics of focus or of interest in the minds of the topically contemporaneous strangers and in the mind of the first user occurs in an immediately preceding and predetermined time period that is chronologically adjacent to when a corresponding invitation is presented to the first user. | 0.853561 |
1. A computer implemented method for visualizing graphic charts to one or more users, the method comprising: creating n variables, wherein n is three or more; creating multiple different datasets, comprising data points representing a relation between a subset of said variables; creating one or more graphic charts each comprising a representation of one or more of said datasets; displaying, via a graphical user interface, said graphic charts on one or more display elements; and manipulating, via a graphical user interface, a dataset in a graphic chart, wherein a mathematical model is created, wherein said relations between said datasets are determined by said mathematical model, wherein said relations work in a 2 way direction, and wherein said datasets and graphic charts are accordingly updated when manipulated, and wherein said mathematical model is a matrix model, comprising singular variable expressions. | 1. A computer implemented method for visualizing graphic charts to one or more users, the method comprising: creating n variables, wherein n is three or more; creating multiple different datasets, comprising data points representing a relation between a subset of said variables; creating one or more graphic charts each comprising a representation of one or more of said datasets; displaying, via a graphical user interface, said graphic charts on one or more display elements; and manipulating, via a graphical user interface, a dataset in a graphic chart, wherein a mathematical model is created, wherein said relations between said datasets are determined by said mathematical model, wherein said relations work in a 2 way direction, and wherein said datasets and graphic charts are accordingly updated when manipulated, and wherein said mathematical model is a matrix model, comprising singular variable expressions. 10. The method according to claim 1 , wherein a display element is provided by a computing device which is connected to a database server via a network. | 0.594549 |
17. A file classification methodology, comprising: in response to a storage request for a file, extracting textual content of the file; analyzing the extracted textual content to determine a first concept category to which the file can be assigned; assigning tag information corresponding to the first concept category to the file; displaying the first concept category and receiving a selection of a second concept category from a user; assigning tag information corresponding to the second concept category to the file; and storing the file and its tag information. | 17. A file classification methodology, comprising: in response to a storage request for a file, extracting textual content of the file; analyzing the extracted textual content to determine a first concept category to which the file can be assigned; assigning tag information corresponding to the first concept category to the file; displaying the first concept category and receiving a selection of a second concept category from a user; assigning tag information corresponding to the second concept category to the file; and storing the file and its tag information. 21. The method of claim 17 further comprising providing a full listing of stored files, and providing a culled listing of those files in response to a file access request that specifies query tag information, wherein the culled listing indicates files that have been assigned tag information that corresponds to the query tag information. | 0.655128 |
1. A method to generate a data file related to a particular entity, the method comprising: performing a first search, by a processor, with use of a first search term related to the particular entity, wherein performance of the first search includes sending the first search term over a network; receiving, by the processor, first results from the first search, wherein the first results relate to the particular entity and wherein the first results include first data in a first structure; parsing, by the processor, the first data from the first structure to produce first pieces of unstructured data; receiving, by the processor, second results from the first search, wherein the second results relate to the particular entity and wherein the second results include second data in a second structure, wherein the second structure is different from the first structure; parsing, by the processor, the second data from the second structure to produce second pieces of unstructured data; identifying matching pieces of data from among the first and second pieces of unstructured data; combining the matching pieces of data to form combined data in a third structure different from the first structure and the second structure, wherein the third structure relates to the particular entity as opposed to other entities, and wherein the combined data in the third structure relates to the particular entity; storing the combined data in the third structure in a memory; receiving a second search query related to the entity; performing the second search of the combined data in the third structure, by the processor, with use of the second search query related to the entity; producing a data file by the processor based on the results of the second search, wherein the data file includes at least some of the first and second pieces of unstructured data; and storing the data file in the memory. | 1. A method to generate a data file related to a particular entity, the method comprising: performing a first search, by a processor, with use of a first search term related to the particular entity, wherein performance of the first search includes sending the first search term over a network; receiving, by the processor, first results from the first search, wherein the first results relate to the particular entity and wherein the first results include first data in a first structure; parsing, by the processor, the first data from the first structure to produce first pieces of unstructured data; receiving, by the processor, second results from the first search, wherein the second results relate to the particular entity and wherein the second results include second data in a second structure, wherein the second structure is different from the first structure; parsing, by the processor, the second data from the second structure to produce second pieces of unstructured data; identifying matching pieces of data from among the first and second pieces of unstructured data; combining the matching pieces of data to form combined data in a third structure different from the first structure and the second structure, wherein the third structure relates to the particular entity as opposed to other entities, and wherein the combined data in the third structure relates to the particular entity; storing the combined data in the third structure in a memory; receiving a second search query related to the entity; performing the second search of the combined data in the third structure, by the processor, with use of the second search query related to the entity; producing a data file by the processor based on the results of the second search, wherein the data file includes at least some of the first and second pieces of unstructured data; and storing the data file in the memory. 6. The method of claim 1 , wherein the first results and second results include phone numbers, names, addresses, uniform resources locators, and/or emails. | 0.657011 |
1. A mobile system for processing natural language utterances, comprising: one or more physical processors at a vehicle that are programmed to execute one or more computer program instructions which, when executed, cause the one or more physical processors to: receive a natural language utterance associated with a user; perform speech recognition on the natural language utterance; parse and interpret the speech recognized natural language utterance; determine a domain and a context that are associated with the parsed and interpreted natural language utterance; formulate a command or query based on the domain and the context; determine whether the command or query is to be executed on-board or off-board the vehicle; execute the command or query at the vehicle in response to a determination that the command or query is to be executed on-board the vehicle; and invoke a device that communicates wirelessly over a wide area network to process the command or query such that the command or query is executed off-board the vehicle in response to a determination that the command or query is to be executed off-board the vehicle. | 1. A mobile system for processing natural language utterances, comprising: one or more physical processors at a vehicle that are programmed to execute one or more computer program instructions which, when executed, cause the one or more physical processors to: receive a natural language utterance associated with a user; perform speech recognition on the natural language utterance; parse and interpret the speech recognized natural language utterance; determine a domain and a context that are associated with the parsed and interpreted natural language utterance; formulate a command or query based on the domain and the context; determine whether the command or query is to be executed on-board or off-board the vehicle; execute the command or query at the vehicle in response to a determination that the command or query is to be executed on-board the vehicle; and invoke a device that communicates wirelessly over a wide area network to process the command or query such that the command or query is executed off-board the vehicle in response to a determination that the command or query is to be executed off-board the vehicle. 2. The mobile system of claim 1 , wherein executing the command or query at the vehicle comprises executing the command or query at a device built into the vehicle. | 0.770216 |
10. The method of claim 9 wherein performing operation (1) comprises performing the algorithm: For A in T sorted A.m ← 1 For x in V s.t.xA in T sorted : A.m ← max(A.m,xA.b × xA.m) where T sorted is the sorted ARPA table, the algorithm is performed from top-to-bottom of the sorted ARPA table T sorted , and V is the vocabulary of the modeled natural language, and the maximum backoff weight product value for entry A is assigned the value A.m computed by performing the algorithm. | 10. The method of claim 9 wherein performing operation (1) comprises performing the algorithm: For A in T sorted A.m ← 1 For x in V s.t.xA in T sorted : A.m ← max(A.m,xA.b × xA.m) where T sorted is the sorted ARPA table, the algorithm is performed from top-to-bottom of the sorted ARPA table T sorted , and V is the vocabulary of the modeled natural language, and the maximum backoff weight product value for entry A is assigned the value A.m computed by performing the algorithm. 11. The method of claim 10 wherein performing operation (2) comprises performing the algorithm: For Az in T sorted Az.w ← Az.p For x in V s.t.xA in T sorted : If xAz in T sorted: Az.w ← max(Az.w,xAz.w) Else Az.w ← max(Az.w,Az.p × xA.b × xA.m) from top-to-bottom of the sorted ARPA table T sorted . | 0.905344 |
1. A method performed by one or more server devices, the method comprising: receiving, by one or more processors associated with the one or more server devices, a plurality of search query/search result document pairings, where each search query/search result document pairing, of the plurality of search query/search result document pairings, includes a search query and a search result document responsive to the search query, and where the search result documents, of the search query/search result document pairings, are associated with business listings that are relevant to the search queries of the search query/search result document pairings; generating, by one or more processors associated with the one or more server devices, for each of the search query/search result document pairings, objective data derived from the search query/search result document pairings, where the objective data, for a particular one of the search query/search result document pairings that comprises a particular search query and a particular search document, includes: first data indicating whether a term in the particular search query matches a prefix portion of a name of a business, of a particular business listing of the business listings, the prefix portion including less than an entirety of the name of the business, and second data indicating whether the particular search query exactly matches the name of the business; obtaining, by one or more processors associated with the one or more server devices, information associated with a relevance evaluation for each of the search query/search result document pairings from a human evaluator, the relevance evaluation indicating a relevance of a search query to a corresponding search result document; and training, by one or more processors associated with the one or more server devices, an evaluation model, based on the obtained information associated with relevance evaluations and the objective data, to predict a human relevance evaluation that is used to rank another search query/search result document pairing. | 1. A method performed by one or more server devices, the method comprising: receiving, by one or more processors associated with the one or more server devices, a plurality of search query/search result document pairings, where each search query/search result document pairing, of the plurality of search query/search result document pairings, includes a search query and a search result document responsive to the search query, and where the search result documents, of the search query/search result document pairings, are associated with business listings that are relevant to the search queries of the search query/search result document pairings; generating, by one or more processors associated with the one or more server devices, for each of the search query/search result document pairings, objective data derived from the search query/search result document pairings, where the objective data, for a particular one of the search query/search result document pairings that comprises a particular search query and a particular search document, includes: first data indicating whether a term in the particular search query matches a prefix portion of a name of a business, of a particular business listing of the business listings, the prefix portion including less than an entirety of the name of the business, and second data indicating whether the particular search query exactly matches the name of the business; obtaining, by one or more processors associated with the one or more server devices, information associated with a relevance evaluation for each of the search query/search result document pairings from a human evaluator, the relevance evaluation indicating a relevance of a search query to a corresponding search result document; and training, by one or more processors associated with the one or more server devices, an evaluation model, based on the obtained information associated with relevance evaluations and the objective data, to predict a human relevance evaluation that is used to rank another search query/search result document pairing. 3. The method of claim 1 , where the objective data further includes at least one of: third data indicating whether a term in the particular search query is a substring of the name of the business; or fourth data indicating whether a term in the particular search query matches a suffix portion of the name of the business. | 0.565291 |
7. A system, comprising: a data processing apparatus; and a memory coupled to the data processing apparatus having instructions stored thereon which, when executed by the data processing apparatus cause the data processing apparatus to perform operations comprising: receiving an input signal comprising data that corresponds to one or more words; passing the input signal to a text recognition system that generates a recognized text string based on the input signal; receiving the recognized text string from the text recognition system; presenting the recognized text string to a user; receiving a corrected text string based on input from the user; checking if an edit distance between the corrected text string and the recognized text string is below a threshold, wherein the threshold depends on a length of the corrected text string; and if the edit distance is below the threshold, passing the corrected text string to the text recognition system. | 7. A system, comprising: a data processing apparatus; and a memory coupled to the data processing apparatus having instructions stored thereon which, when executed by the data processing apparatus cause the data processing apparatus to perform operations comprising: receiving an input signal comprising data that corresponds to one or more words; passing the input signal to a text recognition system that generates a recognized text string based on the input signal; receiving the recognized text string from the text recognition system; presenting the recognized text string to a user; receiving a corrected text string based on input from the user; checking if an edit distance between the corrected text string and the recognized text string is below a threshold, wherein the threshold depends on a length of the corrected text string; and if the edit distance is below the threshold, passing the corrected text string to the text recognition system. 10. The system of claim 7 , wherein the text recognition system is executed by a user device. | 0.796037 |
10. The method of claim 9 , further comprising the steps of: creating and maintaining an object file for each of the at least one communicating entity; and upon the target personality receiving an initial conversational input from a one of the at least one communicating entity: determining whether the communicating entity has been encountered before by the target personality; upon determining that the communicating entity is new: creating a new object file for the communicating entity; prompting the communicating entity for relevant information related to said entity; and populating the new object file with any relevant information obtained from the communicating entity; upon determining that the communicating entity has been encountered before: accessing the object file associated with the communicating entity; and verifying the identity of the communicating entity; and updating the object file associated with the communicating entity as needed with any relevant information contained in at least one conversational input. | 10. The method of claim 9 , further comprising the steps of: creating and maintaining an object file for each of the at least one communicating entity; and upon the target personality receiving an initial conversational input from a one of the at least one communicating entity: determining whether the communicating entity has been encountered before by the target personality; upon determining that the communicating entity is new: creating a new object file for the communicating entity; prompting the communicating entity for relevant information related to said entity; and populating the new object file with any relevant information obtained from the communicating entity; upon determining that the communicating entity has been encountered before: accessing the object file associated with the communicating entity; and verifying the identity of the communicating entity; and updating the object file associated with the communicating entity as needed with any relevant information contained in at least one conversational input. 11. The method of claim 10 , wherein the step of verifying the identity of the communicating entity further comprises the step of prompting the communicating entity with an at least one validation question based on at least one of the relevant information contained in the associated object file and details contained in past conversations between the target personality and the communicating entity. | 0.832058 |
28. A non-transitory computer usable medium having a computer readable program code tangibly embodied therein, the computer readable program code adapted to be executed by a processor to implement a method for facilitating searching and matching of data, comprising: receiving an input data string including one or more ideographic elements; converting the input data string to a Latin-based input data string; generating one or more input keys based on the Latin-based input data string, including removing any non-space silent element from the input data string to generate a phonetic key; searching, using the one or more input keys, a reference database for one or more candidate records, wherein similar records in the database are indexed by a common lookup key; and if the one or more candidate records are found, determining a match score of the one or more candidate records. | 28. A non-transitory computer usable medium having a computer readable program code tangibly embodied therein, the computer readable program code adapted to be executed by a processor to implement a method for facilitating searching and matching of data, comprising: receiving an input data string including one or more ideographic elements; converting the input data string to a Latin-based input data string; generating one or more input keys based on the Latin-based input data string, including removing any non-space silent element from the input data string to generate a phonetic key; searching, using the one or more input keys, a reference database for one or more candidate records, wherein similar records in the database are indexed by a common lookup key; and if the one or more candidate records are found, determining a match score of the one or more candidate records. 31. The computer usable medium of claim 28 wherein the generating the one or more input keys comprises generating one or more radical keys based on one or more sets of Latin characters, wherein a Latin character represents a constituent radical of the one or more ideographic elements. | 0.522462 |
5. The method according to claim 1 , further comprising validation of the trained speech recognition system by determining an adequate performance of the trained speech recognition system in recognizing of out-of-vocabulary words. | 5. The method according to claim 1 , further comprising validation of the trained speech recognition system by determining an adequate performance of the trained speech recognition system in recognizing of out-of-vocabulary words. 6. The method according to claim 5 , wherein the validation comprises at least one further amendment of the trained speech recognition system to achieve an adequate performance of the trained speech recognition system in recognizing of out-of-vocabulary words. | 0.909438 |
8. A processing device comprising: at least one processing device; a memory; and a bus connecting the at least one processing device with the memory, the memory comprising: instructions for ordering a plurality of strokes of a region according to an ordering relation, the ordering relation including a left-right ordering relation, the plurality of strokes forming a mathematical expression, the instructions for ordering further comprising: instructions for defining a first array of strokes {a 1 , a 2 , . . . , a n } such that a i is less than or equal to a i+1 if and only if a leftmost coordinate of the stroke a i , within a smallest axis aligned rectangle including the stroke a i , is less than or equal to a leftmost coordinate of the stroke a i+1 , within a smallest axis aligned rectangle including the stroke a i+1 , where a set S of n strokes is equal to (s 1 , s 2 , . . . , s n }, {a 1 , a 2 , . . . , a n } is a sorted permutation of the set S, and i is a value from 1 to (n−1); instructions for determining whether a subset of the plurality of strokes of the region satisfy one of a finite set of rules, based, at least partly, on the first array of strokes; instructions for retaining information defining a new region when the subset of the plurality of strokes of the region satisfies the one of the finite set of rules, instructions for repeatedly executing, for each new region, the instructions for determining whether a subset of a plurality of strokes of the region satisfy one of the finite set of rules, and the instructions for retaining information defining a new region when the subset of the plurality of strokes of the region satisfy the one of the finite set of rules, and instructions for recognizing at least one symbol of the mathematical expression included in at least one of the regions. | 8. A processing device comprising: at least one processing device; a memory; and a bus connecting the at least one processing device with the memory, the memory comprising: instructions for ordering a plurality of strokes of a region according to an ordering relation, the ordering relation including a left-right ordering relation, the plurality of strokes forming a mathematical expression, the instructions for ordering further comprising: instructions for defining a first array of strokes {a 1 , a 2 , . . . , a n } such that a i is less than or equal to a i+1 if and only if a leftmost coordinate of the stroke a i , within a smallest axis aligned rectangle including the stroke a i , is less than or equal to a leftmost coordinate of the stroke a i+1 , within a smallest axis aligned rectangle including the stroke a i+1 , where a set S of n strokes is equal to (s 1 , s 2 , . . . , s n }, {a 1 , a 2 , . . . , a n } is a sorted permutation of the set S, and i is a value from 1 to (n−1); instructions for determining whether a subset of the plurality of strokes of the region satisfy one of a finite set of rules, based, at least partly, on the first array of strokes; instructions for retaining information defining a new region when the subset of the plurality of strokes of the region satisfies the one of the finite set of rules, instructions for repeatedly executing, for each new region, the instructions for determining whether a subset of a plurality of strokes of the region satisfy one of the finite set of rules, and the instructions for retaining information defining a new region when the subset of the plurality of strokes of the region satisfy the one of the finite set of rules, and instructions for recognizing at least one symbol of the mathematical expression included in at least one of the regions. 12. The processing device of claim 8 , wherein: the ordering relation includes a top-down ordering relation, and the memory further comprises: instructions for defining a second array of strokes {b 1 , b 2 , . . . , b n } such that b i is less than or equal to b i+1 if and only if a topmost coordinate of the stroke b i , within a smallest axis aligned rectangle including the stroke b i , is less than or equal to a topmost coordinate of the stroke b i+1 , within a smallest axis aligned rectangle including the stroke b i+1 , where {b 1 , b 2 , . . . , b n } is a second sorted permutation of the set S; instructions for determining whether a first ordered stroke of a subset of the plurality of strokes of the region satisfies a fraction condition with respect to a second ordered stroke of the plurality of strokes of the region based, at least in part, on the second array of strokes, and instructions for defining a first region including the first ordered stroke and a second region including the second ordered stroke when the first ordered stroke satisfies the fraction condition with respect to the second ordered stroke. | 0.658601 |
29. A computer program product that includes a non-transitory computer readable storage medium, the computer readable medium comprising a plurality of computer instructions which, when executed by a processor, cause the processor to execute performing a process for testing a user interface to a software application, the process comprising: extending a hardware verification language by defining one or more custom libraries such that the extended hardware verification language can be used to interface with the user interface to the software application in addition to hardware designs, wherein the hardware verification language is different from a programming language used to create the user interface to the software application, and is a programming language specifically designed for verification of hardware designs, and wherein the extended hardware verification language is extended by providing an API (applications programming interface) corresponding to the e language; generating a test for the user interface to the software application written in the extended hardware verification language; using the test written in the extended hardware verification language to drive one or more elements of the user interface to the software application; collecting data resulting from driving the user interface to the software application using the test; analyzing the data from driving the user interface to the software application; and displaying analysis results or storing the analysis results in a computer readable medium. | 29. A computer program product that includes a non-transitory computer readable storage medium, the computer readable medium comprising a plurality of computer instructions which, when executed by a processor, cause the processor to execute performing a process for testing a user interface to a software application, the process comprising: extending a hardware verification language by defining one or more custom libraries such that the extended hardware verification language can be used to interface with the user interface to the software application in addition to hardware designs, wherein the hardware verification language is different from a programming language used to create the user interface to the software application, and is a programming language specifically designed for verification of hardware designs, and wherein the extended hardware verification language is extended by providing an API (applications programming interface) corresponding to the e language; generating a test for the user interface to the software application written in the extended hardware verification language; using the test written in the extended hardware verification language to drive one or more elements of the user interface to the software application; collecting data resulting from driving the user interface to the software application using the test; analyzing the data from driving the user interface to the software application; and displaying analysis results or storing the analysis results in a computer readable medium. 35. The computer program product of claim 29 , wherein the hardware verification language is e. | 0.515731 |
1. A computer-implemented method comprising: receiving, by a computer system comprising one or more servers from particular members of a member network, machine-readable endorsement information that characterizes the particular members' ratings of various articles; receiving member profile information specifying that one or more members of the member network are experts in one or more respective fields; receiving, by the computer system, a first search query from a first user in the member network; determining, by the computer system, that the first search query relates to a particular field; identifying, from an article index by the computer system, a first plurality of articles that are responsive to the first search query; identifying, by the computer system from profile information of the members of the member network, one or more experts in the member network that are each an expert in the particular field to which the computer system determined the first search query relates; identifying, from a repository of member network data for the member network, a second plurality of articles that are responsive to the first search query and that have been endorsed by particular members in the member network, wherein the repository of member network data is different from the article index; determining that a first article in the second plurality of articles has been endorsed by an expert in the one or more experts in the member network who are each an expert in the particular field to which the computer system determined the first search query relates; generating, by the computer system, a plurality of article identifiers for articles that include articles from the first and second pluralities of articles; ranking, by the computer system, using the endorsements for articles in the second plurality of articles, the first article that has been endorsed by the expert in the particular field to which the first search query relates with a higher ranking than a second article that was not endorsed by an expert in the particular field to which the first search query relates; and responding, by the computer system, to the first search query with the plurality of article identifiers according to the ranking including a first article identifier for the first article and a second article identifier for the second article. | 1. A computer-implemented method comprising: receiving, by a computer system comprising one or more servers from particular members of a member network, machine-readable endorsement information that characterizes the particular members' ratings of various articles; receiving member profile information specifying that one or more members of the member network are experts in one or more respective fields; receiving, by the computer system, a first search query from a first user in the member network; determining, by the computer system, that the first search query relates to a particular field; identifying, from an article index by the computer system, a first plurality of articles that are responsive to the first search query; identifying, by the computer system from profile information of the members of the member network, one or more experts in the member network that are each an expert in the particular field to which the computer system determined the first search query relates; identifying, from a repository of member network data for the member network, a second plurality of articles that are responsive to the first search query and that have been endorsed by particular members in the member network, wherein the repository of member network data is different from the article index; determining that a first article in the second plurality of articles has been endorsed by an expert in the one or more experts in the member network who are each an expert in the particular field to which the computer system determined the first search query relates; generating, by the computer system, a plurality of article identifiers for articles that include articles from the first and second pluralities of articles; ranking, by the computer system, using the endorsements for articles in the second plurality of articles, the first article that has been endorsed by the expert in the particular field to which the first search query relates with a higher ranking than a second article that was not endorsed by an expert in the particular field to which the first search query relates; and responding, by the computer system, to the first search query with the plurality of article identifiers according to the ranking including a first article identifier for the first article and a second article identifier for the second article. 3. The method of claim 1 , comprising receiving machine-readable endorsement information that characterizes members' ratings of various articles, wherein the members are members in the member network by: receiving a collection of search queries submitted by one or more members in the member network; receiving a collection of article identifiers identifying articles that are responsive to the search queries; receiving a collection of numeric ratings of at least one of the articles identified by the article identifiers; and updating, for each of the one or more members in the member network, corresponding profile information using numeric ratings from the collection of numeric ratings and the article identifiers for the articles rated by the corresponding member. | 0.542043 |
1. A method of generating a dashboard that includes multiple panels from a declarative representation of queries, widgets, bindings and facets, the method including: accessing one or more configuration files that represent interaction among queries, widgets, bindings and facet property settings to generate multiple panels of a dashboard; parsing key-value properties in the configuration files to identify queries, wherein each query specifies a value or range of values of at least one dimension and, when processed, returns a data set that includes at least one dimension and at least one measure; providing a plurality of visualization widgets, wherein each visualization widget, when invoked on a computer including a processor, accepts as input the dimension returned in the data set as an independent variable and the measure as a dependent variable; generates a specified chart or graph from the dimension and the measure to form a first view of segments in the specified chart or graph, each segment of the segments having a starting position in the first view and each segment in the specified chart or graph illustrating a first measurement of data from the data set with respect to a first particular constraint; invokes a tweener to morph each of the segments to second view from the first view by morphing each of the segments from the starting position in the first view to multiple intermediate positions and then to an ending position in the second view, each segment in the second view of the specified chart or graph illustrating a second measurement of data from the data set with respect to a second particular constraint; and invokes the tweener to morph to a third view from the second view by morphing each of the segments from the ending position in the second view to multiple intermediate positions and then to an ending position in the third view; parsing key-value properties in the configuration files to identify panels, wherein each panel declares a binding that links an associated visualization widget to an associated query; wherein each panel declares the specified chart or graph into which the data set returned by the associated query will be rendered by the associated visualization widget; and wherein at least some of the panels set the facet property, wherein the facet property links operation of data filtering controls among the panels, whereby selection of a data filter control in one panel causes the selected data filter to be applied to additional panels that have the facet property set; and generating data representing a dashboard and the panels based at least in part on the configuration files. | 1. A method of generating a dashboard that includes multiple panels from a declarative representation of queries, widgets, bindings and facets, the method including: accessing one or more configuration files that represent interaction among queries, widgets, bindings and facet property settings to generate multiple panels of a dashboard; parsing key-value properties in the configuration files to identify queries, wherein each query specifies a value or range of values of at least one dimension and, when processed, returns a data set that includes at least one dimension and at least one measure; providing a plurality of visualization widgets, wherein each visualization widget, when invoked on a computer including a processor, accepts as input the dimension returned in the data set as an independent variable and the measure as a dependent variable; generates a specified chart or graph from the dimension and the measure to form a first view of segments in the specified chart or graph, each segment of the segments having a starting position in the first view and each segment in the specified chart or graph illustrating a first measurement of data from the data set with respect to a first particular constraint; invokes a tweener to morph each of the segments to second view from the first view by morphing each of the segments from the starting position in the first view to multiple intermediate positions and then to an ending position in the second view, each segment in the second view of the specified chart or graph illustrating a second measurement of data from the data set with respect to a second particular constraint; and invokes the tweener to morph to a third view from the second view by morphing each of the segments from the ending position in the second view to multiple intermediate positions and then to an ending position in the third view; parsing key-value properties in the configuration files to identify panels, wherein each panel declares a binding that links an associated visualization widget to an associated query; wherein each panel declares the specified chart or graph into which the data set returned by the associated query will be rendered by the associated visualization widget; and wherein at least some of the panels set the facet property, wherein the facet property links operation of data filtering controls among the panels, whereby selection of a data filter control in one panel causes the selected data filter to be applied to additional panels that have the facet property set; and generating data representing a dashboard and the panels based at least in part on the configuration files. 3. The method of claim 1 , wherein each panel declares a visualization widget type selected from a group that includes at least one of donut chart, time chart, horizontal bar chart, stacked horizontal bar chart, and scatter plot. | 0.843324 |
3. The method for creating a compressed data representation of a human speech utterance according to claim 2, further including the step of determining a duration of each detected occurrence of a period of silence. | 3. The method for creating a compressed data representation of a human speech utterance according to claim 2, further including the step of determining a duration of each detected occurrence of a period of silence. 4. The method for creating a compressed data representation of a human speech utterance according to claim 3, wherein said step of creating a compressed data representation of said human speech utterance further includes the step of including an encoded representation of said duration of each detected occurrence of a period of silence. | 0.936564 |
1. A computer-implemented method for accessing an out-space user interface for a document editor program, the method comprising: displaying an in-space user interface having an out-space actuator associated with the in-space user interface, wherein the in-space user interface includes a document comprising content that is displayed within a document display area that is used in creating and editing a document and a ribbon that displays authoring features for authoring the content of the document including editing; receiving a selection of the out-space actuator; and in response to receiving the selection of the out-space actuator, displaying an out-space user interface that comprises non-authoring features that do not affect the content of the document within the document display area, wherein displaying the out-space user interface includes removing the document from the document display area, expanding the display area of the ribbon, removing the authoring features from the ribbon and displaying the non-authoring features within the ribbon. | 1. A computer-implemented method for accessing an out-space user interface for a document editor program, the method comprising: displaying an in-space user interface having an out-space actuator associated with the in-space user interface, wherein the in-space user interface includes a document comprising content that is displayed within a document display area that is used in creating and editing a document and a ribbon that displays authoring features for authoring the content of the document including editing; receiving a selection of the out-space actuator; and in response to receiving the selection of the out-space actuator, displaying an out-space user interface that comprises non-authoring features that do not affect the content of the document within the document display area, wherein displaying the out-space user interface includes removing the document from the document display area, expanding the display area of the ribbon, removing the authoring features from the ribbon and displaying the non-authoring features within the ribbon. 4. The computer-implemented method of claim 1 , wherein selecting an in-space actuator redisplays the in-space user interface. | 0.563859 |
2. The data processing system of claim 1 where relationships between different module definitions are defined by one or more module interface definitions and associated data flows which define mappings between module inputs and outputs. | 2. The data processing system of claim 1 where relationships between different module definitions are defined by one or more module interface definitions and associated data flows which define mappings between module inputs and outputs. 3. The data processing system of claim 2 which includes a module compositor that generates composited workbooks from the one or more spreadsheet objects and the one or more module interface definitions. | 0.844105 |
14. The one or more computer-storage memory of claim 11 , wherein utilizing both the query and the computing device's location to determine if an implicit local intent is present comprises accessing query log data compiled for a plurality of users. | 14. The one or more computer-storage memory of claim 11 , wherein utilizing both the query and the computing device's location to determine if an implicit local intent is present comprises accessing query log data compiled for a plurality of users. 15. The one or more computer-storage memory of claim 14 , wherein the query log data includes at least one of session data, session data with locations, query location data, and click data. | 0.942668 |
16. A method for segmenting words in a bitmap of an image into characters or glyphs, comprising: receiving a bitmap of an image comprising at least one textual line that is identified by a base-line and a mean-line; generating a plurality of candidate chop lines that each maximize a fitness function that increases as a total path lightness of the respective candidate chop lines increase and decreases as an intersection number increases, wherein the intersection number denotes a number of white-to-black and black to white transitions that the respective candidate chop line crosses; selecting at least one chop line from among the candidate chop lines, wherein the chop line separates a pair of adjacent characters or glyphs in the textual line; applying the chop line to the textual line to produce the characters or glyphs from the received bitmap of the image. | 16. A method for segmenting words in a bitmap of an image into characters or glyphs, comprising: receiving a bitmap of an image comprising at least one textual line that is identified by a base-line and a mean-line; generating a plurality of candidate chop lines that each maximize a fitness function that increases as a total path lightness of the respective candidate chop lines increase and decreases as an intersection number increases, wherein the intersection number denotes a number of white-to-black and black to white transitions that the respective candidate chop line crosses; selecting at least one chop line from among the candidate chop lines, wherein the chop line separates a pair of adjacent characters or glyphs in the textual line; applying the chop line to the textual line to produce the characters or glyphs from the received bitmap of the image. 17. The method of claim 16 wherein each of the candidate chop lines pass through a different pixel in at least one row extending along and within the textual line. | 0.840758 |
1. A method for deploying incremental script updates, the method comprising: receiving a first script and a second script, wherein the first script is associated with a database, and wherein the second script is a potential update to the first script; creating a first set and a second set by comparing the first script and the second script, wherein the first set includes elements that are present in only the second script, and wherein the second set includes elements that are present in the first script and the second script; classifying the elements associated with the first set, wherein classifying the elements associated with the first set comprises adding metadata tags to the elements associated with the first set corresponding to the function of the element; creating a context model, wherein the context model includes the elements and corresponding metadata tags associated with the first set and elements associated with the second set; classifying the elements associated with the first set as structural changes to the database; creating a data migration script based on the elements classified as structural changes; creating a third script from the elements classified as structural changes and the data migration script; and deploying the third script as an update to the first script. | 1. A method for deploying incremental script updates, the method comprising: receiving a first script and a second script, wherein the first script is associated with a database, and wherein the second script is a potential update to the first script; creating a first set and a second set by comparing the first script and the second script, wherein the first set includes elements that are present in only the second script, and wherein the second set includes elements that are present in the first script and the second script; classifying the elements associated with the first set, wherein classifying the elements associated with the first set comprises adding metadata tags to the elements associated with the first set corresponding to the function of the element; creating a context model, wherein the context model includes the elements and corresponding metadata tags associated with the first set and elements associated with the second set; classifying the elements associated with the first set as structural changes to the database; creating a data migration script based on the elements classified as structural changes; creating a third script from the elements classified as structural changes and the data migration script; and deploying the third script as an update to the first script. 5. The method of claim 1 , wherein creating the context model further comprises eliminating a first element from the context model based on a disagreement between the first element and a first preference, wherein the first preference is a constraint associated with the database. | 0.505826 |
1. A computer-implemented method, comprising: at a computer having memory and a processor and a display, receiving a search request that includes multiple user-specified search keywords; comparing the multiple search keywords with a plurality of documents, wherein each document includes one or more candidate chunks and each candidate chunk corresponds to a predefined semantically-based unit of text in the document; identifying a first chunk among the candidate chunks in a first document and a second chunk among the candidate chunks in a second document as satisfying the search keywords, each chunk including a first text string and satisfying a predefined minimum matching level and having a chunk length within a predefined range, wherein there is at least one difference between the first text string and the search keywords and the first document has a first document type and the second document has a second document type that is different from the first document type; displaying the first chunk including an instance of the first text string and the second chunk including an instance of the first text string on the display in a text-only format; receiving a find-and-replace request to replace the first text string with a second text string, wherein the find-and-replace request limits the replacement of the first text string with the second text string to the first chunk and the second chunk and not to any document that includes at least one instance of the first text string but does not include any chunk that satisfies the search keywords; and substituting the second text string for the first text string in the first chunk and the second chunk such that an instance of the first text string located outside the first chunk but within the first document remains unchanged and an instance of the first text string located outside the second chunk but within the second document remains unchanged. | 1. A computer-implemented method, comprising: at a computer having memory and a processor and a display, receiving a search request that includes multiple user-specified search keywords; comparing the multiple search keywords with a plurality of documents, wherein each document includes one or more candidate chunks and each candidate chunk corresponds to a predefined semantically-based unit of text in the document; identifying a first chunk among the candidate chunks in a first document and a second chunk among the candidate chunks in a second document as satisfying the search keywords, each chunk including a first text string and satisfying a predefined minimum matching level and having a chunk length within a predefined range, wherein there is at least one difference between the first text string and the search keywords and the first document has a first document type and the second document has a second document type that is different from the first document type; displaying the first chunk including an instance of the first text string and the second chunk including an instance of the first text string on the display in a text-only format; receiving a find-and-replace request to replace the first text string with a second text string, wherein the find-and-replace request limits the replacement of the first text string with the second text string to the first chunk and the second chunk and not to any document that includes at least one instance of the first text string but does not include any chunk that satisfies the search keywords; and substituting the second text string for the first text string in the first chunk and the second chunk such that an instance of the first text string located outside the first chunk but within the first document remains unchanged and an instance of the first text string located outside the second chunk but within the second document remains unchanged. 3. The method of claim 1 , wherein the first document includes an original second text string that has a content type different from the replacing second text string. | 0.597106 |
25. A network computer for managing operations for organizations over a network, comprising: a transceiver that communicates over the network; a memory that stores at least instructions; and one or more processors that execute instructions that perform actions, including: employing a plurality of provided Operations events to perform further actions, including: providing, by the one or more processors, one or more event clusters that are associated with one or more Operations events; associating, by the one or more processors, one or more resolution metrics with the one or more event clusters; employing, by the one or more processors, a modeling engine to train one or more models based on the one or more Operations events, the one or more event clusters, and the one or more resolution metrics, wherein the one or more trained models are stored in a datastore; and retrieving, by the one or more processors, the one or more trained models, from the datastore, that are used to identify the one or more resolution metrics that are associated with one or more real-time Operations events. | 25. A network computer for managing operations for organizations over a network, comprising: a transceiver that communicates over the network; a memory that stores at least instructions; and one or more processors that execute instructions that perform actions, including: employing a plurality of provided Operations events to perform further actions, including: providing, by the one or more processors, one or more event clusters that are associated with one or more Operations events; associating, by the one or more processors, one or more resolution metrics with the one or more event clusters; employing, by the one or more processors, a modeling engine to train one or more models based on the one or more Operations events, the one or more event clusters, and the one or more resolution metrics, wherein the one or more trained models are stored in a datastore; and retrieving, by the one or more processors, the one or more trained models, from the datastore, that are used to identify the one or more resolution metrics that are associated with one or more real-time Operations events. 27. The network computer of claim 25 , further comprising providing a user interface for a human user to perform one or more actions, including providing the association of the one or more resolution metrics with the one or more event clusters, or quantifying one or more features of the one or more event clusters. | 0.769744 |
18. In a speech recognition system, wherein speech is represented by data in frames of equal time intervals, an arrangement for generating a final word template from a plurality of tokens, including: (a) means for forming an interim template representative of at least one token; (b) means for generating a time alignment path between said interim template and an additional token; (c) means for mapping frames from said interim template and said additional token along said time alignment path onto an averaged time axis; and (d) means for combining data associated with said mapped frames to produce composite frames representative of a final word template. | 18. In a speech recognition system, wherein speech is represented by data in frames of equal time intervals, an arrangement for generating a final word template from a plurality of tokens, including: (a) means for forming an interim template representative of at least one token; (b) means for generating a time alignment path between said interim template and an additional token; (c) means for mapping frames from said interim template and said additional token along said time alignment path onto an averaged time axis; and (d) means for combining data associated with said mapped frames to produce composite frames representative of a final word template. 19. An arrangement, according to claim 18, further comprising means for normalizing an accumulation of combined data to form said composite frames. | 0.83271 |
29. The document rating calculation method according to claim 17 , wherein the item information database stores a document reference history for each document, and the document rating calculation method comprises: a reference score calculation step of calculating a reference rating of a document based on the reference history of a document fulfilling the retrieval condition which is retrieved in the retrieval step; and a score integration step of integrating the document rating calculated in the score calculation step and the reference rating calculated in the reference score calculation step to calculate an integrated rating of the document. | 29. The document rating calculation method according to claim 17 , wherein the item information database stores a document reference history for each document, and the document rating calculation method comprises: a reference score calculation step of calculating a reference rating of a document based on the reference history of a document fulfilling the retrieval condition which is retrieved in the retrieval step; and a score integration step of integrating the document rating calculated in the score calculation step and the reference rating calculated in the reference score calculation step to calculate an integrated rating of the document. 31. The document rating calculation method according to claim 29 , wherein the score calculation step calculates the document rating based on a sum of ratings of items included in a set of related items fulfilling the retrieval condition and stored in the item information database, the reference score calculation step calculates the reference rating based on a number of times the document has been referred, and the score integration step calculates the integrated rating by multiplying values of the document rating and the reference rating that are respectively normalized with predetermined criteria by a weight which changes according to a creation time of the document, and adding the weighted values. | 0.826757 |
7. A system for generating a value index corresponding to a user, the system comprising: one or more processors; and one or more memories operatively coupled to at least one of the one or more processors and having instructions stored thereon that, when executed by at least one of the one or more processors, cause at least one of the one or more processors to: generate a set of demographic nouns corresponding to a user based on one or more of: registration information provided by the user or data derived from an analysis of a connection of the user; generate one or more sets of taxonomic nouns corresponding to the user, wherein the one or more sets of taxonomic nouns comprise one or more of: a set of first taxonomic nouns based upon classification information generated by an author of at least one document in a set of documents; a set of second taxonomic nouns based upon one or more user-generated tags characterizing at least a portion of at least one document in the set of documents; a set of third taxonomic based upon one or more search terms utilized by the user to access at least one document in the set of documents; or a set of fourth taxonomic nouns based upon the attributes related to a method of access of at least one document in the set of documents; generate a set of fifth taxonomic nouns corresponding to the user by processing at least one document in the set of documents based upon one or more pattern rules and a dictionary of known terms, wherein the one or more pattern rules specify a method of extracting terms from the at least one document; aggregate at least one of the one or more sets of taxonomic nouns with the set of fifth taxonomic nouns into a composite set of taxonomic nouns corresponding to the user; and generate a value index corresponding to the user based at least in part on a comparison between: a quantity of nouns in the set of demographic nouns corresponding to the user and the composite set of taxonomic nouns corresponding to the user, and one or more quantities of nouns in one or more sets of demographic nouns corresponding to one or more other users and one or more composite sets of taxonomic nouns corresponding to the one or more other users. | 7. A system for generating a value index corresponding to a user, the system comprising: one or more processors; and one or more memories operatively coupled to at least one of the one or more processors and having instructions stored thereon that, when executed by at least one of the one or more processors, cause at least one of the one or more processors to: generate a set of demographic nouns corresponding to a user based on one or more of: registration information provided by the user or data derived from an analysis of a connection of the user; generate one or more sets of taxonomic nouns corresponding to the user, wherein the one or more sets of taxonomic nouns comprise one or more of: a set of first taxonomic nouns based upon classification information generated by an author of at least one document in a set of documents; a set of second taxonomic nouns based upon one or more user-generated tags characterizing at least a portion of at least one document in the set of documents; a set of third taxonomic based upon one or more search terms utilized by the user to access at least one document in the set of documents; or a set of fourth taxonomic nouns based upon the attributes related to a method of access of at least one document in the set of documents; generate a set of fifth taxonomic nouns corresponding to the user by processing at least one document in the set of documents based upon one or more pattern rules and a dictionary of known terms, wherein the one or more pattern rules specify a method of extracting terms from the at least one document; aggregate at least one of the one or more sets of taxonomic nouns with the set of fifth taxonomic nouns into a composite set of taxonomic nouns corresponding to the user; and generate a value index corresponding to the user based at least in part on a comparison between: a quantity of nouns in the set of demographic nouns corresponding to the user and the composite set of taxonomic nouns corresponding to the user, and one or more quantities of nouns in one or more sets of demographic nouns corresponding to one or more other users and one or more composite sets of taxonomic nouns corresponding to the one or more other users. 10. The system of claim 7 , wherein the attributes related to the method of access of at least one document in the set of documents comprise one or more of: a network type used to access the at least one document, an additional Web site from which the at least one document was accessed, an electronic correspondence to which the at least one document was associated, a time of day the at least one document was accessed, a referrer who directed the user to the at least one document, a document category used by a repository storing the at least one document to describe the at least one document, or a click rate indicating a level of a user interest in the at least one document. | 0.543169 |
1. A system for analyzing access control configurations, comprising: a processor and memory; an operating system having resources and identifications of principals, the principals having access control privileges relating to the resources, the access control privileges described by access control metadata; an access control scanner component that receives the access control metadata, uses the metadata to determine relationships between the principals and the resources, and emits access control relations information, wherein the access control scanner component includes a mechanism layer that is configured to be specific to an operating system, and emits one or more sets of permissions in relation to resources, and a policy layer that is configured be general across multiple operating systems, the policy layer receives the one or more sets of permissions and generates one or more derivation trees that each indicate a possible vulnerability based on the relationships between the principals and the resources; and an access control inference engine that receives the emitted access control relations information and an access control policy model defining desired security policies, analyzes the received information and model, and emits a vulnerability report. | 1. A system for analyzing access control configurations, comprising: a processor and memory; an operating system having resources and identifications of principals, the principals having access control privileges relating to the resources, the access control privileges described by access control metadata; an access control scanner component that receives the access control metadata, uses the metadata to determine relationships between the principals and the resources, and emits access control relations information, wherein the access control scanner component includes a mechanism layer that is configured to be specific to an operating system, and emits one or more sets of permissions in relation to resources, and a policy layer that is configured be general across multiple operating systems, the policy layer receives the one or more sets of permissions and generates one or more derivation trees that each indicate a possible vulnerability based on the relationships between the principals and the resources; and an access control inference engine that receives the emitted access control relations information and an access control policy model defining desired security policies, analyzes the received information and model, and emits a vulnerability report. 5. The system of claim 1 wherein the access control inference engine further receives an access control mechanism model. | 0.537615 |
18. A system for retrieving information from a hard copy business card to generate a structured electronic file having the retrieved information therein, comprising: a network scanning means, having a platen area, for electronically scanning the platen area, having a business card thereon, to create a bitmap of the scanned platen area; and a network server operatively connected to said network scanning means; said network server including, segmentation means for segmenting the bitmap of the scanned platen area, received from said network scanning means, into a bitmap object, the bitmap object corresponding to the scanned business card, bitmap to text converter means, operatively connected to said segmentation means, for converting the bitmap object into a block of text, semantic means, operatively connected to said bitmap to text converter means, for processing the block of text to generate a structured representation of semantic entities corresponding to the scanned business card, and card generation means, operatively connected to said bitmap to text converter means, for converting the structured representation into a structure text file. | 18. A system for retrieving information from a hard copy business card to generate a structured electronic file having the retrieved information therein, comprising: a network scanning means, having a platen area, for electronically scanning the platen area, having a business card thereon, to create a bitmap of the scanned platen area; and a network server operatively connected to said network scanning means; said network server including, segmentation means for segmenting the bitmap of the scanned platen area, received from said network scanning means, into a bitmap object, the bitmap object corresponding to the scanned business card, bitmap to text converter means, operatively connected to said segmentation means, for converting the bitmap object into a block of text, semantic means, operatively connected to said bitmap to text converter means, for processing the block of text to generate a structured representation of semantic entities corresponding to the scanned business card, and card generation means, operatively connected to said bitmap to text converter means, for converting the structured representation into a structure text file. 20. The system as claimed in claim 18 , wherein said network scanning means electronically scans a plurality of business cards located on the platen area to create a single bitmap of the a bitmap of the scanned platen area; said segmentation means segments the bitmap of the scanned platen area into a plurality of bitmap objects, each bitmap object corresponding to an electronically scanned business card; said bitmap to text converter means converts each bitmap object into a block of text, each block of text corresponding to an electronically scanned business card; said semantic means processes each block of text to generate a structured representation of semantic entities wherein each structured representation corresponds to electronically scanned business card; and said card generation means converts each structured representation into a structure text file such that a structure text file is generated for each electronically scanned business card. | 0.5 |
23. The method of claim 15 wherein facilitating presentation of the response at the user device comprises facilitating presentation of a natural language response which was generated with reference to selected ones of the plurality of objects and using the at least one natural language translation object. | 23. The method of claim 15 wherein facilitating presentation of the response at the user device comprises facilitating presentation of a natural language response which was generated with reference to selected ones of the plurality of objects and using the at least one natural language translation object. 24. The method of claim 23 wherein the natural language translation objects comprise common translation objects and unique translation objects, each common translation object relating an associated one of the objects with a common translation for the associated object, and each unique translation object relating an associated one of the objects with a unique translation for the associated object. | 0.83379 |
18. A system for creating a recognition grammar for use with an interactive user interface to human readable text data that is also machine readable, the interactive user interface being responsive to spoken input, the system comprising: means for providing access to a phrase thesaurus database comprising a plurality of classes of phrases, wherein any two phrases that are semantic equivalent of each other are assigned to a same class; means for formulating an expression representing a part of the text data for each of one or more parts of the text data, wherein each formulated expression is constructed as one or more combinations of one or more phrases in the phrase thesaurus database; and means for automatically using the phrase thesaurus database to construct one or more equivalent expressions of each formulated expression based on assigned classes of the one or more phrases of each formulated expression, wherein the recognition grammar comprises the collection of all of the expressions. | 18. A system for creating a recognition grammar for use with an interactive user interface to human readable text data that is also machine readable, the interactive user interface being responsive to spoken input, the system comprising: means for providing access to a phrase thesaurus database comprising a plurality of classes of phrases, wherein any two phrases that are semantic equivalent of each other are assigned to a same class; means for formulating an expression representing a part of the text data for each of one or more parts of the text data, wherein each formulated expression is constructed as one or more combinations of one or more phrases in the phrase thesaurus database; and means for automatically using the phrase thesaurus database to construct one or more equivalent expressions of each formulated expression based on assigned classes of the one or more phrases of each formulated expression, wherein the recognition grammar comprises the collection of all of the expressions. 22. The system as in claim 18 , wherein the text data represents one or more Web pages. | 0.735279 |
9. A computer-readable hardware storage medium having instructions stored thereon, which, when executed by a processor, causes the processor to perform operations for building a web address, the operations comprising: presenting a setup dialog in a single window on a display device, the setup dialog having a website listing area, a parameter edit area, and a web address edit area; displaying in the website listing area a list of websites, each of the websites having a corresponding website Uniform Resource Locator (URL) template for building a web address expression for a web address for the website within the setup dialog; receiving a first input through the setup dialog in the website listing area, the first input specifying a website from the list of websites; automatically determining a list of parameters of the web address for the website based on the corresponding website URL template of the website; presenting the list of parameters in the setup dialog in the parameter edit area; for each parameter presented in the parameter edit area, generating a corresponding parameter edit input for the parameter; receiving a second input through the setup dialog in a parameter edit input for a first parameter, the second input specifying a value for the first parameter; and building the web address expression dynamically in the web address edit area, the web address expression including the first parameter set to the specified value. | 9. A computer-readable hardware storage medium having instructions stored thereon, which, when executed by a processor, causes the processor to perform operations for building a web address, the operations comprising: presenting a setup dialog in a single window on a display device, the setup dialog having a website listing area, a parameter edit area, and a web address edit area; displaying in the website listing area a list of websites, each of the websites having a corresponding website Uniform Resource Locator (URL) template for building a web address expression for a web address for the website within the setup dialog; receiving a first input through the setup dialog in the website listing area, the first input specifying a website from the list of websites; automatically determining a list of parameters of the web address for the website based on the corresponding website URL template of the website; presenting the list of parameters in the setup dialog in the parameter edit area; for each parameter presented in the parameter edit area, generating a corresponding parameter edit input for the parameter; receiving a second input through the setup dialog in a parameter edit input for a first parameter, the second input specifying a value for the first parameter; and building the web address expression dynamically in the web address edit area, the web address expression including the first parameter set to the specified value. 14. The computer-readable storage medium of claim 9 , where presenting the setup dialog further comprises: defining a web viewer object in a database layout; presenting the website URL template of the corresponding website to the web viewer object; and presenting the setup dialog after the web viewer object is defined with the list of parameters for the website based on the corresponding website URL template of the website presented in the parameter edit area. | 0.722979 |
17. The computer-implemented method of claim 16 , further comprising: receiving an input requesting the secondary content; and outputting third speech corresponding to text associated with the secondary content, wherein the third speech has different voice parameters than at least one of the first speech and the second speech. | 17. The computer-implemented method of claim 16 , further comprising: receiving an input requesting the secondary content; and outputting third speech corresponding to text associated with the secondary content, wherein the third speech has different voice parameters than at least one of the first speech and the second speech. 18. The computer-implemented method of claim 17 , wherein the third speech is output after the first speech but prior to the second speech. | 0.915181 |
14. A method of communicating a voice message to a voice messaging system, the voice messaging system having a human operator interface associated therewith, the voice message based on a text message from a text messaging system, the text messaging system comprising one or more addressable nodes including a messaging system interface node, the text messaging system and the voice messaging system coupled by a telephone network, the method comprising the steps of: the messaging system interface node receiving the text message from the text messaging system based on an address of the messaging system interface node; the messaging system interface node generating interface signals for simulating human operation of the voice messaging system in accordance with the human operator interface associated therewith; the messaging system interface node generating a voice message responsive to the text message; and transmitting the interface signals and the voice message over the telephone network based on a recipient telephone number. | 14. A method of communicating a voice message to a voice messaging system, the voice messaging system having a human operator interface associated therewith, the voice message based on a text message from a text messaging system, the text messaging system comprising one or more addressable nodes including a messaging system interface node, the text messaging system and the voice messaging system coupled by a telephone network, the method comprising the steps of: the messaging system interface node receiving the text message from the text messaging system based on an address of the messaging system interface node; the messaging system interface node generating interface signals for simulating human operation of the voice messaging system in accordance with the human operator interface associated therewith; the messaging system interface node generating a voice message responsive to the text message; and transmitting the interface signals and the voice message over the telephone network based on a recipient telephone number. 16. The method according to claim 14 wherein the step of generating a voice message comprises performing text-to-speech conversion on the text message to produce the voice message. | 0.586854 |
1. A method for building an expression, the method comprising: displaying, using a processor of a computer, an expression on a computer display via a graphical user interface, where the expression includes a non-terminal display object corresponding to a non-terminal element defined in a grammar; and in response to receiving selection of the non-terminal display object, displaying, using the processor of the computer, a candidate terminal display object and a candidate non-terminal display object, where the candidate terminal display object corresponds to a terminal element within the grammar, and where the candidate non-terminal display object corresponds to another non-terminal element within the grammar; in response to receiving selection of the candidate terminal display object, replacing, using the processor of the computer, the selected non-terminal display object in the expression with the selected candidate terminal display object; and in response to receiving selection of the candidate non-terminal display object, replacing, using the processor of the computer, the selected non-terminal display object in the expression with the candidate non-terminal display object, where the candidate non-terminal display object is further replaced by one of another candidate terminal display object and another candidate non-terminal display object until no non-terminal display object remains in the displayed expression. | 1. A method for building an expression, the method comprising: displaying, using a processor of a computer, an expression on a computer display via a graphical user interface, where the expression includes a non-terminal display object corresponding to a non-terminal element defined in a grammar; and in response to receiving selection of the non-terminal display object, displaying, using the processor of the computer, a candidate terminal display object and a candidate non-terminal display object, where the candidate terminal display object corresponds to a terminal element within the grammar, and where the candidate non-terminal display object corresponds to another non-terminal element within the grammar; in response to receiving selection of the candidate terminal display object, replacing, using the processor of the computer, the selected non-terminal display object in the expression with the selected candidate terminal display object; and in response to receiving selection of the candidate non-terminal display object, replacing, using the processor of the computer, the selected non-terminal display object in the expression with the candidate non-terminal display object, where the candidate non-terminal display object is further replaced by one of another candidate terminal display object and another candidate non-terminal display object until no non-terminal display object remains in the displayed expression. 5. The method of claim 1 and further comprising generating the expression to initially include the non-terminal display object corresponding to a root object defined in the grammar. | 0.622251 |
2. The method of claim 1 , wherein the bookmark is retrieved from a social-bookmarking site, and wherein a plurality of users each contributes a respective set of bookmarks to the social-bookmarking site. | 2. The method of claim 1 , wherein the bookmark is retrieved from a social-bookmarking site, and wherein a plurality of users each contributes a respective set of bookmarks to the social-bookmarking site. 3. The method of claim 2 , wherein the bookmarks are stored by the social bookmarking site anonymously, relative to a user who contributed one of the respective sets of bookmarks. | 0.913192 |
15. An automatic music composing apparatus comprising: a storage device which stores reference melody data sets each of which represents a reference melody fragment and melody generation data sets each of which contains melody specifying data of an amount for a piece of music so as to be used for generating a melody to constitute a musical piece, each said reference melody fragment being a melody fragment which correspondingly typifies each said melody generation data set; a supply device for supplying melody data which defines a desired melody fragment; a detector which compares said supplied melody data supplied by said supply device with the reference melody data set stored in said storage device and detects unequal conditions between said supplied melody data and said stored reference melody data set to deliver unequalness data indicating said unequal conditions; an adjuster which reads out said melody generation data set stored in said storage device, and adjusts said read out melody generation data set in accordance with said unequalness data from said detector; and a melody generator which generates melody data representing a musical piece based on the melody generation data set as adjusted by said adjuster. | 15. An automatic music composing apparatus comprising: a storage device which stores reference melody data sets each of which represents a reference melody fragment and melody generation data sets each of which contains melody specifying data of an amount for a piece of music so as to be used for generating a melody to constitute a musical piece, each said reference melody fragment being a melody fragment which correspondingly typifies each said melody generation data set; a supply device for supplying melody data which defines a desired melody fragment; a detector which compares said supplied melody data supplied by said supply device with the reference melody data set stored in said storage device and detects unequal conditions between said supplied melody data and said stored reference melody data set to deliver unequalness data indicating said unequal conditions; an adjuster which reads out said melody generation data set stored in said storage device, and adjusts said read out melody generation data set in accordance with said unequalness data from said detector; and a melody generator which generates melody data representing a musical piece based on the melody generation data set as adjusted by said adjuster. 16. An automatic music composing apparatus according to claim 15, wherein said melody generator generates melody data also based on the melody data supplied from said supply device. | 0.895762 |
10. The system of claim 1 , wherein the classes comprises tags denoting abstract conceptual representations. | 10. The system of claim 1 , wherein the classes comprises tags denoting abstract conceptual representations. 11. The system of claim 10 , wherein the classes comprises hand-checked tags. | 0.935025 |
17. One or more computer-readable non-transitory storage media embodying software that is operable when executed to: receive, from a plurality of client systems of a plurality of users, a plurality of search queries, each search query comprising one or more n-grams; identify a subset of search queries from the plurality of search queries as being queries for visual-media items, each of the search queries in the subset of search queries being identified based on one or more n-grams of the search query being associated with visual-media content; calculate, for each of the n-grams of the search queries of the subset of search queries, a popularity-score based on a count of the search queries in the subset of search queries that include the n-gram, wherein, for each of one or more of the n-grams of the search queries of the subset of search queries, the count of the search queries including the n-gram is a weighted count that weights an occurrence of each search query based on a degree of confidence with which the search query is identified as being a query for visual-media items; determine one or more popular n-gram, wherein each of the popular n-grams is an n-gram of the search queries of the subset of search queries having a popularity-score greater than a threshold popularity-score; and select one or more of the popular n-grams for training a visual-concept recognition system, wherein each of the popular n-grams is selected based on whether it is associated with one or more visual concepts. | 17. One or more computer-readable non-transitory storage media embodying software that is operable when executed to: receive, from a plurality of client systems of a plurality of users, a plurality of search queries, each search query comprising one or more n-grams; identify a subset of search queries from the plurality of search queries as being queries for visual-media items, each of the search queries in the subset of search queries being identified based on one or more n-grams of the search query being associated with visual-media content; calculate, for each of the n-grams of the search queries of the subset of search queries, a popularity-score based on a count of the search queries in the subset of search queries that include the n-gram, wherein, for each of one or more of the n-grams of the search queries of the subset of search queries, the count of the search queries including the n-gram is a weighted count that weights an occurrence of each search query based on a degree of confidence with which the search query is identified as being a query for visual-media items; determine one or more popular n-gram, wherein each of the popular n-grams is an n-gram of the search queries of the subset of search queries having a popularity-score greater than a threshold popularity-score; and select one or more of the popular n-grams for training a visual-concept recognition system, wherein each of the popular n-grams is selected based on whether it is associated with one or more visual concepts. 20. The media of claim 17 , wherein the weighted count further weights the occurrence of each search query based on information associated with a user of a client system from which the search query was received. | 0.648191 |
17. A method for managing form-generated data related to a patient encounter, the method comprising: receiving location information related to a form that has designated information fields in different locations on the form, wherein the location information is generated in response to a user writing on the form in one of the designated information fields; translating the location information to a contextualized data element, wherein the contextualized data element comprises contextual information that is associated with the user writing, wherein translating the location information to a contextualized data element comprises using the location information to identify a label by comparing the location information to a mapping data set that maps user areas on the form to labels that are associated with the designated information fields, and wherein the contextualized data element comprises the label; and utilizing the label in the contextualized data element to perform a function related to the user writing on the form, wherein the function is performed by an EMR/EHR application and wherein the contextualized data element is distributed to the EMR/EHR application via a publish/subscribe protocol in which the EMR/EHR application subscribes to a specific contextualized data element by identifying the label associated with the contextualized data element. | 17. A method for managing form-generated data related to a patient encounter, the method comprising: receiving location information related to a form that has designated information fields in different locations on the form, wherein the location information is generated in response to a user writing on the form in one of the designated information fields; translating the location information to a contextualized data element, wherein the contextualized data element comprises contextual information that is associated with the user writing, wherein translating the location information to a contextualized data element comprises using the location information to identify a label by comparing the location information to a mapping data set that maps user areas on the form to labels that are associated with the designated information fields, and wherein the contextualized data element comprises the label; and utilizing the label in the contextualized data element to perform a function related to the user writing on the form, wherein the function is performed by an EMR/EHR application and wherein the contextualized data element is distributed to the EMR/EHR application via a publish/subscribe protocol in which the EMR/EHR application subscribes to a specific contextualized data element by identifying the label associated with the contextualized data element. 18. The method of claim 17 wherein the location information comprises a pen stroke data set that represents the user writing on the form. | 0.570972 |
2. The method of claim 1 wherein the application is executed by the client computer system and the determining operation comprises: evaluating a constraint in the constraint expression against a configuration parameter of the client computer system. | 2. The method of claim 1 wherein the application is executed by the client computer system and the determining operation comprises: evaluating a constraint in the constraint expression against a configuration parameter of the client computer system. 3. The method of claim 2 wherein the configuration parameter of the client computer system indicates whether the client computer system is coupled to a tuner, a console extension or a specified peripheral, domain or server. | 0.938228 |
1. A method, in a data processing system, for generating an electronic document, comprising: receiving textual content of the electronic document; receiving a selection of a term in the textual content; receiving a dictionary definition of the selected term; storing the dictionary definition in a transient document associated electronic dictionary that is linked to the electronic document; storing the electronic document and the transient document associated electronic dictionary in association with one another wherein, in response to electronic distribution of the electronic document to one or more recipient computer systems, the transient document associated electronic dictionary is automatically distributed along with the electronic document, by virtue of the electronic document and transient document associated electronic dictionary being stored in association with one another, to the one or more recipient computer systems; receiving the electronic document and the associated transient document associated dictionary at a recipient computing device; loading the transient document associated dictionary to augment a local permanent dictionary of the recipient computing device; outputting a request, at the recipient computing device, requesting that a user indicate whether the transient document associated dictionary is to augment the local permanent dictionary of the recipient computing device permanently or temporarily; permanently adding definitions from the transient document associated dictionary to the local permanent dictionary of the recipient computing device in response to the user indicating that the transient document associated dictionary is to augment the local permanent dictionary permanently; and preventing the definitions from the transient document associated dictionary from permanently being added to the local permanent dictionary of the recipient computing device in response to the user indicating that the transient document associated dictionary is to augment the local permanent dictionary temporarily such that the definitions from the transient document associated dictionary are only used with the associated electronic document and not with other electronic documents. | 1. A method, in a data processing system, for generating an electronic document, comprising: receiving textual content of the electronic document; receiving a selection of a term in the textual content; receiving a dictionary definition of the selected term; storing the dictionary definition in a transient document associated electronic dictionary that is linked to the electronic document; storing the electronic document and the transient document associated electronic dictionary in association with one another wherein, in response to electronic distribution of the electronic document to one or more recipient computer systems, the transient document associated electronic dictionary is automatically distributed along with the electronic document, by virtue of the electronic document and transient document associated electronic dictionary being stored in association with one another, to the one or more recipient computer systems; receiving the electronic document and the associated transient document associated dictionary at a recipient computing device; loading the transient document associated dictionary to augment a local permanent dictionary of the recipient computing device; outputting a request, at the recipient computing device, requesting that a user indicate whether the transient document associated dictionary is to augment the local permanent dictionary of the recipient computing device permanently or temporarily; permanently adding definitions from the transient document associated dictionary to the local permanent dictionary of the recipient computing device in response to the user indicating that the transient document associated dictionary is to augment the local permanent dictionary permanently; and preventing the definitions from the transient document associated dictionary from permanently being added to the local permanent dictionary of the recipient computing device in response to the user indicating that the transient document associated dictionary is to augment the local permanent dictionary temporarily such that the definitions from the transient document associated dictionary are only used with the associated electronic document and not with other electronic documents. 3. The method of claim 1 , further comprising: displaying, in response to selection of a term in the textual content, an interface for selecting one or more of the transient document associated dictionary and a local permanent dictionary, in which a definition of the selected term is to be edited. | 0.537332 |
6. The method of claim 5 wherein said generating at least one test sequence comprises generating test sequences including at least one of providing inputs to at least one of said tags and checking outputs from at least one of said tags. | 6. The method of claim 5 wherein said generating at least one test sequence comprises generating test sequences including at least one of providing inputs to at least one of said tags and checking outputs from at least one of said tags. 7. The method of claim 6 , wherein said providing the inputs to the at least one of said tags comprises: analyzing the voice-capable markup language application to find an externally referenced file; retrieving the externally referenced file; and analyzing the externally referenced file to determine an input to the at least one of said tags. | 0.864548 |
1. In a computing environment, a method of transforming dynamic code, the method comprising: parsing one or more first data structures to generate one or more syntax trees defining constructs in a body of dynamic language source code; from the one or more syntax trees, extracting identifier information for one or more of the defined constructs; augmenting knowledge about the constructs by at least one of explicit inspection of the body of the dynamic language source code or implied inferences related to the dynamic language source code, wherein augmenting comprises modeling the results of executing the dynamic language source code including symbolic execution, abstraction interpretation, and control and data flow analysis; producing a correlation between identifiers and augmented knowledge; using the identifier information and augmented knowledge, generating metadata about the body of dynamic language source code, the generated metadata being represented as a symbol table; traversing the one or more syntax trees to construct a hierarchical symbol table that expresses scoping of all discovered symbols of the dynamic language source code; and using the hierarchical symbol table, transforming the body of dynamic language source code comprising performing code refactoring including code partitioning to identify and rescope the discovered symbols of the dynamic language source code. | 1. In a computing environment, a method of transforming dynamic code, the method comprising: parsing one or more first data structures to generate one or more syntax trees defining constructs in a body of dynamic language source code; from the one or more syntax trees, extracting identifier information for one or more of the defined constructs; augmenting knowledge about the constructs by at least one of explicit inspection of the body of the dynamic language source code or implied inferences related to the dynamic language source code, wherein augmenting comprises modeling the results of executing the dynamic language source code including symbolic execution, abstraction interpretation, and control and data flow analysis; producing a correlation between identifiers and augmented knowledge; using the identifier information and augmented knowledge, generating metadata about the body of dynamic language source code, the generated metadata being represented as a symbol table; traversing the one or more syntax trees to construct a hierarchical symbol table that expresses scoping of all discovered symbols of the dynamic language source code; and using the hierarchical symbol table, transforming the body of dynamic language source code comprising performing code refactoring including code partitioning to identify and rescope the discovered symbols of the dynamic language source code. 4. The method of claim 1 , wherein transforming the body of dynamic language source code comprises performing optimization on the dynamic language source code. | 0.840319 |
1. An information interface system, comprising: a speech recognizer arranged to listen to telephone voice signals carried on a telephone communications channel between a user and another person, and to recognize at least one or more predefined keywords or phrases contained within the voice signals; a keyword processor arranged to relate recognized keywords or phrases to items of information stored in an information database to identify relevant items of information thereto; information display means arranged to display items of information and/or links thereto identified by the keyword processing means to the user; and speech recognition control means arranged to automatically activate the speech recognizer in response to an operating system event automatically generated when a caller identification phase is completed. | 1. An information interface system, comprising: a speech recognizer arranged to listen to telephone voice signals carried on a telephone communications channel between a user and another person, and to recognize at least one or more predefined keywords or phrases contained within the voice signals; a keyword processor arranged to relate recognized keywords or phrases to items of information stored in an information database to identify relevant items of information thereto; information display means arranged to display items of information and/or links thereto identified by the keyword processing means to the user; and speech recognition control means arranged to automatically activate the speech recognizer in response to an operating system event automatically generated when a caller identification phase is completed. 2. A system according to claim 1 , wherein the keyword processing means further comprises: storage means for storing item definition data defining the items of information in the information database; item matching means for matching recognized keywords or phrases to the item definition data; and item scoring means for keeping an item score for each item of information in dependence upon the number of keywords or phrases matched to each item. | 0.5 |
1. A method comprising: (i) for each of a plurality of client devices, storing a corresponding client profile at a server, each corresponding client profile comprising a font capabilities list for a respective one of the plurality of client devices, each font capabilities list comprising a list of fonts for which the respective client device has font structure data stored in a client font data store of the respective client device, the font structure data defining the structure in which text formatted with the respective font is to be rendered on the respective client device; (ii) receiving an electronic data transfer at the server, addressed to a designated one of the plurality of client devices, the electronic data transfer comprising text data and one or more font identifiers identifying one or more fonts to use to render the text data on the designated one of the plurality of client devices; (iii) comparing the one or more font identifiers in the electronic data transfer with a current version of the fonts in the capabilities list stored by the server for the designated device, to determine fonts in the electronic data transfer for which the designated device lacks font structure data; (iv) transferring, from the server to the designated device, the font structure data of the fonts determined to be lacked by the designated device and the text data, wherein the font structure data lacked by the designated device and the text data are included in the same electronic data transfer, and wherein the designated device stores the received font structure data in the client font data store; and (v) updating the font capabilities list stored by the server for the designated device to include, in a new version of the font capabilities list, the fonts whose font structure data are transferred to the designated device. | 1. A method comprising: (i) for each of a plurality of client devices, storing a corresponding client profile at a server, each corresponding client profile comprising a font capabilities list for a respective one of the plurality of client devices, each font capabilities list comprising a list of fonts for which the respective client device has font structure data stored in a client font data store of the respective client device, the font structure data defining the structure in which text formatted with the respective font is to be rendered on the respective client device; (ii) receiving an electronic data transfer at the server, addressed to a designated one of the plurality of client devices, the electronic data transfer comprising text data and one or more font identifiers identifying one or more fonts to use to render the text data on the designated one of the plurality of client devices; (iii) comparing the one or more font identifiers in the electronic data transfer with a current version of the fonts in the capabilities list stored by the server for the designated device, to determine fonts in the electronic data transfer for which the designated device lacks font structure data; (iv) transferring, from the server to the designated device, the font structure data of the fonts determined to be lacked by the designated device and the text data, wherein the font structure data lacked by the designated device and the text data are included in the same electronic data transfer, and wherein the designated device stores the received font structure data in the client font data store; and (v) updating the font capabilities list stored by the server for the designated device to include, in a new version of the font capabilities list, the fonts whose font structure data are transferred to the designated device. 7. The method of claim 1 further comprising a step, performed before step (i), of: receiving from each of the plurality of client devices a corresponding initial version of the font capabilities list. | 0.859244 |
8. The versioned relational database system set forth in claim 7 wherein: the operations include a change propagation operation that propagates changes to or from a version in a workspace of the multiparent graph, the change propagation operation using the multi-parent graph to determine workspaces whose versions are affected by the change propagation operation. | 8. The versioned relational database system set forth in claim 7 wherein: the operations include a change propagation operation that propagates changes to or from a version in a workspace of the multiparent graph, the change propagation operation using the multi-parent graph to determine workspaces whose versions are affected by the change propagation operation. 9. The versioned relational database system set forth in claim 8 wherein: the change propagation operation is a merge operation that propagates a change from a version in a non-root node of the multiparent graph to a version in the root node. | 0.817145 |
13. The method of claim 12 , wherein in the remote search engine computer system returns a reference results page and the calculation of the reference score includes calculating a reference vector that includes at least a frequency of terms in the reference results page. | 13. The method of claim 12 , wherein in the remote search engine computer system returns a reference results page and the calculation of the reference score includes calculating a reference vector that includes at least a frequency of terms in the reference results page. 15. The method of claim 13 , wherein the challenge result includes at least a challenge answer and the calculation of the challenge reference score includes calculating an answer vector that includes at least a frequency of terms in the challenge answer, wherein the answer vector is compared with the reference vector to calculate the reference score for the first engine. | 0.930067 |
1. A method comprising: at an electronic device: while the device is in a locked state, receiving non-voice authentication information from a user to put the device into an unlocked state; receiving a first speech input from the user; in response to authenticating that the user is an authorized user of the device, transmitting the first speech input to a voiceprint service for generating a voiceprint based on the first speech input; receiving a second speech input at the device while the device is in a locked state, the second speech input including a command associated with a restricted feature of the device; determining whether the second speech input was spoken by an authorized user of the device, the determining including comparing the second speech input to the generated voiceprint; while comparing the second speech input to the voiceprint, processing the second speech input to identify the command; and upon determining that the second speech input was spoken by the authorized user, providing access to the restricted feature of the device according to the command included in the second speech input, where the method is performed by one or more processors of the device. | 1. A method comprising: at an electronic device: while the device is in a locked state, receiving non-voice authentication information from a user to put the device into an unlocked state; receiving a first speech input from the user; in response to authenticating that the user is an authorized user of the device, transmitting the first speech input to a voiceprint service for generating a voiceprint based on the first speech input; receiving a second speech input at the device while the device is in a locked state, the second speech input including a command associated with a restricted feature of the device; determining whether the second speech input was spoken by an authorized user of the device, the determining including comparing the second speech input to the generated voiceprint; while comparing the second speech input to the voiceprint, processing the second speech input to identify the command; and upon determining that the second speech input was spoken by the authorized user, providing access to the restricted feature of the device according to the command included in the second speech input, where the method is performed by one or more processors of the device. 7. The method of claim 1 , wherein the command is not an unlock command. | 0.650757 |
15. A tangible computer storage medium containing computer executable instructions which, when executed by a computer, perform a method of generating a multi-voice font for rendering text as computer-generated speech, the method comprising the acts of: obtaining the text to be rendered as the computer-generated speech; loading the source voice fonts; predicting duration values, voiced/unvoiced probability values, f0 values, and spectral trajectory values for the text for each source voice font using at least one characteristic prediction model associated with each source voice font; assigning a duration weight, a f0 weight, a spectrum weight to each source voice font; merging the duration values predicted with each source voice font with the duration weight to produce interpolated duration values, the duration weight for each source voice font representing the percentage that the source voice font contributes to the interpolated duration values; merging the f0 values predicted with each source voice font with the f0 weight given to that source voice font to produce interpolated f0 values, the f0 weight for each source voice font representing the percentage that the source voice font contributes to the interpolated f0 values; merging the voiced/unvoiced decision values and the spectral trajectory values predicted with each source voice font with the spectrum weight given to that source voice font to produce interpolated voiced/unvoiced probability values and interpolated spectral trajectory values, the spectrum weight for each source voice font representing the percentage that the source voice font contributes to the interpolated voiced/unvoiced probability values and interpolated spectral trajectory values; and rendering the text as computer-generated speech having the interpolated duration values, interpolated f0 values, interpolated voiced/unvoiced probability values, and interpolated spectral trajectory values. | 15. A tangible computer storage medium containing computer executable instructions which, when executed by a computer, perform a method of generating a multi-voice font for rendering text as computer-generated speech, the method comprising the acts of: obtaining the text to be rendered as the computer-generated speech; loading the source voice fonts; predicting duration values, voiced/unvoiced probability values, f0 values, and spectral trajectory values for the text for each source voice font using at least one characteristic prediction model associated with each source voice font; assigning a duration weight, a f0 weight, a spectrum weight to each source voice font; merging the duration values predicted with each source voice font with the duration weight to produce interpolated duration values, the duration weight for each source voice font representing the percentage that the source voice font contributes to the interpolated duration values; merging the f0 values predicted with each source voice font with the f0 weight given to that source voice font to produce interpolated f0 values, the f0 weight for each source voice font representing the percentage that the source voice font contributes to the interpolated f0 values; merging the voiced/unvoiced decision values and the spectral trajectory values predicted with each source voice font with the spectrum weight given to that source voice font to produce interpolated voiced/unvoiced probability values and interpolated spectral trajectory values, the spectrum weight for each source voice font representing the percentage that the source voice font contributes to the interpolated voiced/unvoiced probability values and interpolated spectral trajectory values; and rendering the text as computer-generated speech having the interpolated duration values, interpolated f0 values, interpolated voiced/unvoiced probability values, and interpolated spectral trajectory values. 19. The tangible computer storage medium of claim 15 wherein the method performed by the computer executable instructions further comprises the act of synthesizing the text as computer-generated speech using the interpolated characteristic values. | 0.709536 |
11. A display device comprising: a display unit; a storage unit storing a table showing correspondences between text languages of web pages and character strings used in URLs to indicate the respective text languages; and a browser configured to acquire a web page from a web server over a network, and cause the display unit to display the web page acquired from the web server, wherein the browser comprises: a receiving unit receiving a designation of a URL; an acquiring unit acquiring information indicating a text language designated by a user; a first searching unit for searching for a top-level domain “com” or the top-level domain “com” with a slash “/” added to the end of the designated URL; a determining unit determining whether or not the designated URL includes, at the end thereof, the top-level domain “com” or the top-level domain “com” with a slash “/” added to the end thereof; a second searching unit, when the determining step determines that a top-level domain “com” or the top-level domain “com” with a slash “/” has been added to the end of the designated URL, acquiring source code of a web page indicated by the designated URL, and searching the acquired source code for a URL including a character string corresponding to the designated text language with reference to the table stored in the storage unit; and a display control unit, when the URL including the character string corresponding to the designated text language is found by the second searching unit, acquiring a web page indicated by the found URL from the web server over the network and displaying the acquired web page indicated by the found URL, and, when the URL including the character string corresponding to the designated text language is not found by the second searching unit, displaying the web page indicated by the designated URL according to the acquired source code. | 11. A display device comprising: a display unit; a storage unit storing a table showing correspondences between text languages of web pages and character strings used in URLs to indicate the respective text languages; and a browser configured to acquire a web page from a web server over a network, and cause the display unit to display the web page acquired from the web server, wherein the browser comprises: a receiving unit receiving a designation of a URL; an acquiring unit acquiring information indicating a text language designated by a user; a first searching unit for searching for a top-level domain “com” or the top-level domain “com” with a slash “/” added to the end of the designated URL; a determining unit determining whether or not the designated URL includes, at the end thereof, the top-level domain “com” or the top-level domain “com” with a slash “/” added to the end thereof; a second searching unit, when the determining step determines that a top-level domain “com” or the top-level domain “com” with a slash “/” has been added to the end of the designated URL, acquiring source code of a web page indicated by the designated URL, and searching the acquired source code for a URL including a character string corresponding to the designated text language with reference to the table stored in the storage unit; and a display control unit, when the URL including the character string corresponding to the designated text language is found by the second searching unit, acquiring a web page indicated by the found URL from the web server over the network and displaying the acquired web page indicated by the found URL, and, when the URL including the character string corresponding to the designated text language is not found by the second searching unit, displaying the web page indicated by the designated URL according to the acquired source code. 17. The display device according to claim 11 , wherein: the determining unit further determines whether or not the designated URL includes, at the end thereof, a top-level domain “net” or the top-level domain “net” with the slash “/” added to the end thereof, and the second searching unit further performs the search when the determining unit determines that the designated URL includes, at the end thereof, the top-level domain “net”, or the top-level domain “net” with the slash “/” added to the end thereof. | 0.821953 |
4. The contents retrieval device according to claim 3 , further comprising a related keyword selection unit configured to select, from the contents database, the narrowing-down keyword and the expansion keyword, respectively corresponding to the narrowing-down document space information and the expansion document space information, such that a candidate keyword indicating a larger degree of relevance to the contents retrieved by said content retrieval unit is more likely to be selected by said related keyword selection unit, wherein said display unit is configured to display, as the related keyword, the narrowing-down keyword and the expansion keyword, and to display an attribute of the contents retrieved by said content retrieval unit. | 4. The contents retrieval device according to claim 3 , further comprising a related keyword selection unit configured to select, from the contents database, the narrowing-down keyword and the expansion keyword, respectively corresponding to the narrowing-down document space information and the expansion document space information, such that a candidate keyword indicating a larger degree of relevance to the contents retrieved by said content retrieval unit is more likely to be selected by said related keyword selection unit, wherein said display unit is configured to display, as the related keyword, the narrowing-down keyword and the expansion keyword, and to display an attribute of the contents retrieved by said content retrieval unit. 11. The contents retrieval device according to claim 4 , wherein said content retrieval unit is configured to (i) determine whether or not a number of overlapping contents between (a) a group of contents, of the plurality of contents, according to the search keyword and (b) a group of contents, of the plurality of contents, according to another keyword acquired, by said keyword acquisition unit, before the search keyword, is equal to or more than a threshold, (ii) retrieve the contents according to the search keyword and the other keyword, when said content retrieval unit determines that the number of overlapping contents is equal to or more than the threshold, and (iii) retrieve the contents only according to the search keyword, when said content retrieval unit determines that the number of overlapping contents is less then the threshold. | 0.844225 |
4. The system as recited in claim 3 , wherein each sub-filter of the group of sub-filter types is linked to a list of filter options, the list of filter options being configured to dynamically update in response to selections from the group of filter types and the group of sub-filter types. | 4. The system as recited in claim 3 , wherein each sub-filter of the group of sub-filter types is linked to a list of filter options, the list of filter options being configured to dynamically update in response to selections from the group of filter types and the group of sub-filter types. 5. The system as recited in claim 4 , wherein the query module is configured to cause the list of filter options to dynamically update according to vehicle data present in the database. | 0.890657 |
11. A system for handling a user request for invoking a computer service comprising: a computer processor; a computer-readable, memory storage device; and one or more computer program instructions embodied by the computer-readable, memory storage device, for causing the computer processor upon execution to perform operations comprising: performing a first natural language (NL) analysis on one or more computer service user programming documents, wherein API user documents describe in structured natural language one or more structured Application Programming Interfaces (APIs) with one or more API elements, and wherein each API element corresponds to a parameter or argument to use or invoke the computer service; extracting the one or more API elements from a user programming document according to the first NL analysis; performing a second NL analysis on an unstructured request from a client to use or invoke the computer service, the unstructured request comprising natural language containing one or more request components; matching the one or more request components to the one or more API elements; constructing a structured API call using the matching request components for API elements; and performing one or more operations selected from the group consisting of submitting the constructed structured API call to the computer service on behalf of the client, returning the constructed structured API call to the requesting client, and returning a result from an invoked corresponding computer service to the requesting client. | 11. A system for handling a user request for invoking a computer service comprising: a computer processor; a computer-readable, memory storage device; and one or more computer program instructions embodied by the computer-readable, memory storage device, for causing the computer processor upon execution to perform operations comprising: performing a first natural language (NL) analysis on one or more computer service user programming documents, wherein API user documents describe in structured natural language one or more structured Application Programming Interfaces (APIs) with one or more API elements, and wherein each API element corresponds to a parameter or argument to use or invoke the computer service; extracting the one or more API elements from a user programming document according to the first NL analysis; performing a second NL analysis on an unstructured request from a client to use or invoke the computer service, the unstructured request comprising natural language containing one or more request components; matching the one or more request components to the one or more API elements; constructing a structured API call using the matching request components for API elements; and performing one or more operations selected from the group consisting of submitting the constructed structured API call to the computer service on behalf of the client, returning the constructed structured API call to the requesting client, and returning a result from an invoked corresponding computer service to the requesting client. 12. The system as set forth in claim 11 wherein the constructing of a structured API call further comprises constructing a Hyper Text Transfer Protocol signature. | 0.807163 |
4. The method of claim 1 , wherein said predefined behavioral feedback includes gestural commands. | 4. The method of claim 1 , wherein said predefined behavioral feedback includes gestural commands. 6. The method of claim 4 wherein said gestural commands include pointing to a selection from a list of an illustrative numerical intensity scale presented on a display wherein the intensity scale includes 1 (“hate”), 2 (“dislikes”), 3 (“moderately negative”), 4 (“neutral”), 5 (“moderately positive”), 6 (“likes”), and 7 (“loves”). | 0.936276 |
16. The automated machine tool defined in claim 11 wherein said programmed machine cycle includes a forward mode and a reverse mode, said forward mode comprising a plurality of sequences for performing a certain operation of said machine tool and said reverse mode comprising a plurality of sequences for performing the opposite reverse operation of said machine tool. | 16. The automated machine tool defined in claim 11 wherein said programmed machine cycle includes a forward mode and a reverse mode, said forward mode comprising a plurality of sequences for performing a certain operation of said machine tool and said reverse mode comprising a plurality of sequences for performing the opposite reverse operation of said machine tool. 17. The controller defined in claim 16 wherein said visual display displays a first set of legends comprised of three legends associated with three sequential sequences comprising said forward mode of said programmed machine cycle and said visual display displays a second set of legends comprised of three legends associated with three sequential sequences comprising said reverse mode of said programmed machine cycle. | 0.834848 |
1. A computing device implemented method comprising: attaining data representing features of a font capable of representing one or more glyphs; and determining a rating for pairing the font and at least one other font using a machine learning system and the data representing the features of the font, wherein at least one of the features or at least one category of a set of categories is identified to represent the font by the machine learning system using the features of the font, and wherein the machine learning system produces a vector of numerical values, each numerical value represents one of the features or one of the categories in the set of categories. | 1. A computing device implemented method comprising: attaining data representing features of a font capable of representing one or more glyphs; and determining a rating for pairing the font and at least one other font using a machine learning system and the data representing the features of the font, wherein at least one of the features or at least one category of a set of categories is identified to represent the font by the machine learning system using the features of the font, and wherein the machine learning system produces a vector of numerical values, each numerical value represents one of the features or one of the categories in the set of categories. 14. The computing device implemented method of claim 1 , wherein the features are attained from one or more bitmaps of one or more characters of the font. | 0.618213 |
6. A system of intelligent home automation, comprising: a parser analyzer; memory structures; a question answering routine capable of generating natural language responses to natural language queries, storing declarative information from declarations of a user into the memory structures and responding to commands to control objects by searching for the objects in the memory structures and switching home circuits on or off connected to the objects; a transducer set to receive a sound wave input derived from a pulse of a person, the person located in the home or near the home; software capable of identifying the person based on a signal from the transducer; a speaker for announcing an identity of the visitor in natural language to a home user; and hardware connecting the software to objects and/or systems in the home that are operable automatically. | 6. A system of intelligent home automation, comprising: a parser analyzer; memory structures; a question answering routine capable of generating natural language responses to natural language queries, storing declarative information from declarations of a user into the memory structures and responding to commands to control objects by searching for the objects in the memory structures and switching home circuits on or off connected to the objects; a transducer set to receive a sound wave input derived from a pulse of a person, the person located in the home or near the home; software capable of identifying the person based on a signal from the transducer; a speaker for announcing an identity of the visitor in natural language to a home user; and hardware connecting the software to objects and/or systems in the home that are operable automatically. 12. The system of claim 6 , wherein the transducer can keep track of an identity and location of more than 5 people in a room. | 0.810583 |
1. A computer storage medium comprising computer executable instructions for performing a computer-implemented method for domain-independent natural language understanding, comprising the steps of: forming pairs of words and/or phrases in independent phrases in a sentence, wherein each word and/or phrase is paired with every other word and/or phrase; determining meanings for the words and/or phrases; assigning a numeric code from the pre-existing class and category structure that uniquely identifies semantic concepts to each meaning; adjusting the numeric codes using a weighting component; storing the adjusted numeric codes that uniquely identify semantic concepts in a computer memory; comparing the adjusted numeric codes that uniquely identify semantic concepts of each word and/or phrase with each adjusted numeric code that uniquely identifies the semantic concept of the other word and/or phrase in the pair; comparing syntactically identical sentences with a potential idiom that changes adjusted numeric codes that uniquely identify semantic concepts depending on the context using an ontology; determining whether a potential idiom is identified and employing appropriate class and category structure to calculate a first adjusted numeric code total, wherein said first adjusted numeric code total corresponds to the best word and/or phrase pairings; determining an overall-adjusted numeric code total based on said first adjusted numeric code total by comparing remaining words in a sentence and before selecting the pairs of adjusted numeric codes that uniquely identify semantic concepts with the best relationships based on numerical comparisons; selecting the pairs of adjusted numeric codes that uniquely indentify semantic concepts with the best relationships based on numerical comparisons; storing the pairs in the computer memory; combining highly-related pairs with other highly-related pairs to form longer groups of adjusted numeric codes that uniquely identify semantic concepts; exchanging adjusted numeric codes that uniquely identify semantic concepts for the longer groups with adjusted numeric codes that uniquely identify semantic concepts having a weaker relationship to determine if the exchanged adjusted numeric codes that uniquely identify semantic concepts provide an overall stronger relationship based on numerical comparisons; forming longer and longer groups until the adjusted numeric codes that uniquely identify semantic concepts are selected in context for all words and phrases in the sentence; and relating the adjusted numeric codes that uniquely identify semantic concepts to words and phrases. | 1. A computer storage medium comprising computer executable instructions for performing a computer-implemented method for domain-independent natural language understanding, comprising the steps of: forming pairs of words and/or phrases in independent phrases in a sentence, wherein each word and/or phrase is paired with every other word and/or phrase; determining meanings for the words and/or phrases; assigning a numeric code from the pre-existing class and category structure that uniquely identifies semantic concepts to each meaning; adjusting the numeric codes using a weighting component; storing the adjusted numeric codes that uniquely identify semantic concepts in a computer memory; comparing the adjusted numeric codes that uniquely identify semantic concepts of each word and/or phrase with each adjusted numeric code that uniquely identifies the semantic concept of the other word and/or phrase in the pair; comparing syntactically identical sentences with a potential idiom that changes adjusted numeric codes that uniquely identify semantic concepts depending on the context using an ontology; determining whether a potential idiom is identified and employing appropriate class and category structure to calculate a first adjusted numeric code total, wherein said first adjusted numeric code total corresponds to the best word and/or phrase pairings; determining an overall-adjusted numeric code total based on said first adjusted numeric code total by comparing remaining words in a sentence and before selecting the pairs of adjusted numeric codes that uniquely identify semantic concepts with the best relationships based on numerical comparisons; selecting the pairs of adjusted numeric codes that uniquely indentify semantic concepts with the best relationships based on numerical comparisons; storing the pairs in the computer memory; combining highly-related pairs with other highly-related pairs to form longer groups of adjusted numeric codes that uniquely identify semantic concepts; exchanging adjusted numeric codes that uniquely identify semantic concepts for the longer groups with adjusted numeric codes that uniquely identify semantic concepts having a weaker relationship to determine if the exchanged adjusted numeric codes that uniquely identify semantic concepts provide an overall stronger relationship based on numerical comparisons; forming longer and longer groups until the adjusted numeric codes that uniquely identify semantic concepts are selected in context for all words and phrases in the sentence; and relating the adjusted numeric codes that uniquely identify semantic concepts to words and phrases. 13. A computer system comprising one or more computer processors configured to execute the steps recited in claim 1 . | 0.522206 |
1. A system for generating a platform-independent document comprising: a database system implemented using a server system comprising one or more hardware processors, the database system configurable to cause: processing a document request identifying markup language content; providing the markup language content to a rendering engine configured to: identify one or more resources in the markup language content, and communicate one or more resource requests for the one or more resources; processing the one or more resource requests as communicated by the rendering engine; retrieving the one or more resources; providing the one or more resources to the rendering engine, the rendering engine further configured to generate a platform-independent document based on the markup language content and the one or more resources; and communicating the platform-independent document to a computing device. | 1. A system for generating a platform-independent document comprising: a database system implemented using a server system comprising one or more hardware processors, the database system configurable to cause: processing a document request identifying markup language content; providing the markup language content to a rendering engine configured to: identify one or more resources in the markup language content, and communicate one or more resource requests for the one or more resources; processing the one or more resource requests as communicated by the rendering engine; retrieving the one or more resources; providing the one or more resources to the rendering engine, the rendering engine further configured to generate a platform-independent document based on the markup language content and the one or more resources; and communicating the platform-independent document to a computing device. 4. The system of claim 1 , the database system further configurable to cause: generating a renderable web document comprising the markup language content; communicating the document request to a document-rendering service; and communicating the one or more resources to the document-rendering service. | 0.5295 |
11. A system, comprising: at least one server computer in communication with a network, the at least one server computer including a processor configured to: present, to a user of the network, a drill-down survey comprising one or more questions wherein the questions are arranged into one or more tree structures and each of the questions corresponds to a node in one of the one or more tree structures, wherein each of the one or more tree structures comprises parent nodes and child nodes of the parent nodes, and wherein each question corresponding to one of the child nodes is more specific than the question corresponding to each of that child node's parent nodes; parse responses of the user to the questions into a first plurality of keywords associated with at least one of the user, a website of the user, and a business of the user; determine, from one or more of the responses, a third party data source identified by the user, the third party data source being remote from the at least one server computer and accessible by the at least one server computer via the network; receive from the user an authorization for the at least one server computer to access the third party data source using a third party account of the user; obtain additional data about the user from the third party data source, the additional data being obtainable using the third party account; parse the additional data about the user from the third party data source into a second plurality of keywords; generate a keyword basket comprising the first plurality of keywords and the second plurality of keywords; and generate at least one of a candidate domain name relevant to the first plurality of keywords and to the additional data by combining keywords in the keyword basket into a root name of the candidate domain name, and a suggestion for potential website content relevant to the keywords and to the additional data. | 11. A system, comprising: at least one server computer in communication with a network, the at least one server computer including a processor configured to: present, to a user of the network, a drill-down survey comprising one or more questions wherein the questions are arranged into one or more tree structures and each of the questions corresponds to a node in one of the one or more tree structures, wherein each of the one or more tree structures comprises parent nodes and child nodes of the parent nodes, and wherein each question corresponding to one of the child nodes is more specific than the question corresponding to each of that child node's parent nodes; parse responses of the user to the questions into a first plurality of keywords associated with at least one of the user, a website of the user, and a business of the user; determine, from one or more of the responses, a third party data source identified by the user, the third party data source being remote from the at least one server computer and accessible by the at least one server computer via the network; receive from the user an authorization for the at least one server computer to access the third party data source using a third party account of the user; obtain additional data about the user from the third party data source, the additional data being obtainable using the third party account; parse the additional data about the user from the third party data source into a second plurality of keywords; generate a keyword basket comprising the first plurality of keywords and the second plurality of keywords; and generate at least one of a candidate domain name relevant to the first plurality of keywords and to the additional data by combining keywords in the keyword basket into a root name of the candidate domain name, and a suggestion for potential website content relevant to the keywords and to the additional data. 14. The system of claim 11 , further comprising a database storing the questions in the one or more tree structures. | 0.546919 |
8. An apparatus comprising: a processor; and a memory to store computer program instructions, the computer program instructions when executed on the processor cause the processor to perform operations comprising: receiving an electronic message from a first user to a second user directed to one of a plurality of electronic message accounts associated with the second user, at least one of the plurality of electronic message accounts associated with a preferred language different from preferred languages associated with other electronic message accounts of the plurality of electronic message accounts; determining a source language of the electronic message; determining a preferred language associated with the one of the plurality of electronic message accounts associated with the second user; translating the electronic message to the preferred language when the source language is not the same as the preferred language. | 8. An apparatus comprising: a processor; and a memory to store computer program instructions, the computer program instructions when executed on the processor cause the processor to perform operations comprising: receiving an electronic message from a first user to a second user directed to one of a plurality of electronic message accounts associated with the second user, at least one of the plurality of electronic message accounts associated with a preferred language different from preferred languages associated with other electronic message accounts of the plurality of electronic message accounts; determining a source language of the electronic message; determining a preferred language associated with the one of the plurality of electronic message accounts associated with the second user; translating the electronic message to the preferred language when the source language is not the same as the preferred language. 9. The apparatus of claim 8 , wherein the determining a preferred language comprises accessing a client processing device associated with the second user. | 0.621556 |
15. A system for providing data records, 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: accessing a physical hierarchy, wherein the physical hierarchy represents organizational data, wherein the physical hierarchy includes a plurality of transactional data records that are hierarchically arranged in levels, wherein the plurality of records include fields, wherein the fields include physical hierarchy fields and attribute hierarchy fields, and wherein each level in the physical hierarchy corresponds to a physical hierarchy field; identifying one or more attribute hierarchy fields within the plurality of records included in the physical hierarchy, wherein the one or more attribute hierarchy fields correspond to input fields of a predictive model; generating an attribute hierarchy using the physical hierarchy, wherein the attribute hierarchy includes the plurality of records in the physical hierarchy re-categorized according to the one or more identified attribute hierarchy fields, wherein the attribute hierarchy includes one or more new levels, wherein the one or more new levels are new with respect to the physical hierarchy, and wherein each new level in the attribute hierarchy corresponds to an identified attribute hierarchy field; generating a mapping table that identifies levels of the physical hierarchy and levels of the attribute hierarchy; receiving a request from the predictive model, wherein the request specifies one or more records from a particular new level in the attribute hierarchy; providing the one or more records from the particular new level to the predictive model; and processing the one or more records, wherein the one or more records are provided to the predictive model for generating estimation results or forecasting results. | 15. A system for providing data records, 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: accessing a physical hierarchy, wherein the physical hierarchy represents organizational data, wherein the physical hierarchy includes a plurality of transactional data records that are hierarchically arranged in levels, wherein the plurality of records include fields, wherein the fields include physical hierarchy fields and attribute hierarchy fields, and wherein each level in the physical hierarchy corresponds to a physical hierarchy field; identifying one or more attribute hierarchy fields within the plurality of records included in the physical hierarchy, wherein the one or more attribute hierarchy fields correspond to input fields of a predictive model; generating an attribute hierarchy using the physical hierarchy, wherein the attribute hierarchy includes the plurality of records in the physical hierarchy re-categorized according to the one or more identified attribute hierarchy fields, wherein the attribute hierarchy includes one or more new levels, wherein the one or more new levels are new with respect to the physical hierarchy, and wherein each new level in the attribute hierarchy corresponds to an identified attribute hierarchy field; generating a mapping table that identifies levels of the physical hierarchy and levels of the attribute hierarchy; receiving a request from the predictive model, wherein the request specifies one or more records from a particular new level in the attribute hierarchy; providing the one or more records from the particular new level to the predictive model; and processing the one or more records, wherein the one or more records are provided to the predictive model for generating estimation results or forecasting results. 27. The system of claim 15 , wherein the physical hierarchy is representative of an operational framework of an organization or products or services provided by the organization. | 0.526854 |
4. The method of claim 1 , wherein the sequentially scrolling through the set is in accordance with one or more navigation commands received from a click wheel. | 4. The method of claim 1 , wherein the sequentially scrolling through the set is in accordance with one or more navigation commands received from a click wheel. 11. The method of claim 4 , wherein the one or more navigation commands received from the click wheel are repetitions of a single navigation command. | 0.921956 |
25. A computer readable storage medium having instructions, which when executed on a computer generate client side markup for a client in a client/server system, the instructions comprising: a first set of visual controls defined on an authoring page for a website having attributes related to a first modality of interaction with a user of the client that being visual renderings on the client device, and the attributes including at least one of location for visual rendering, font, background color, and foreground color, and the first set of controls being related to client side markup executable by a client browser; a second set of controls defined on the authoring page for defining desired operation on the client device having attributes related to a second modality of interaction with the user of the client that being at least one of recognition and audible prompting, the second set of controls being selectively associated with the first set of controls, and the second set of controls being related to client side markup executable by a client browser, the second set of controls comprising: a question control for generating markup related to audible prompting of a question; and an answer control for generating markup related to a grammar for recognition, the question and answer controls being associated with a semantic map comprising one or more semantic items that form a layer between individually associated visual domain primary controls and a non-visual recognition domain of the question and answer controls, the associated visual domain primary controls comprising markup; and a module operable on a computer, the module being configured to receive the authoring page, wherein the module is further configured to process the controls of the first set in the authoring page to generate client side markup by incorporating the attributes in the controls that is executable by the client browser on the client in the server/client system in accordance with the controls of the first set and the attributes of the controls of the first set to perform both visual rendering, and wherein the module is further configured to process the controls of the second set to generate client side markup by incorporating the attributes in the controls that is executable by the client browser on the client in the server/client system in accordance with the controls of the second set and the attributes of the controls of the second set in the authoring page. | 25. A computer readable storage medium having instructions, which when executed on a computer generate client side markup for a client in a client/server system, the instructions comprising: a first set of visual controls defined on an authoring page for a website having attributes related to a first modality of interaction with a user of the client that being visual renderings on the client device, and the attributes including at least one of location for visual rendering, font, background color, and foreground color, and the first set of controls being related to client side markup executable by a client browser; a second set of controls defined on the authoring page for defining desired operation on the client device having attributes related to a second modality of interaction with the user of the client that being at least one of recognition and audible prompting, the second set of controls being selectively associated with the first set of controls, and the second set of controls being related to client side markup executable by a client browser, the second set of controls comprising: a question control for generating markup related to audible prompting of a question; and an answer control for generating markup related to a grammar for recognition, the question and answer controls being associated with a semantic map comprising one or more semantic items that form a layer between individually associated visual domain primary controls and a non-visual recognition domain of the question and answer controls, the associated visual domain primary controls comprising markup; and a module operable on a computer, the module being configured to receive the authoring page, wherein the module is further configured to process the controls of the first set in the authoring page to generate client side markup by incorporating the attributes in the controls that is executable by the client browser on the client in the server/client system in accordance with the controls of the first set and the attributes of the controls of the first set to perform both visual rendering, and wherein the module is further configured to process the controls of the second set to generate client side markup by incorporating the attributes in the controls that is executable by the client browser on the client in the server/client system in accordance with the controls of the second set and the attributes of the controls of the second set in the authoring page. 51. The computer readable storage medium of claim 25 , wherein the first set of controls access and use a first library for the visual renderings and the second set of controls access and use a second library for the at least one of recognition and audibly prompting, the first library including methods for generating the client side markup and a plurality of event handlers, the first library further comprising a plurality of website authoring tools, the second library including markup information for performing the at least one of recognition and audibly prompting. | 0.5 |
1. A method comprising: receiving a first content in a software application hosted in a computer system, the software application implementing a first operation that is disabled by default; receiving a request in the computer system to operate on the first content using the first operation; in response to the request, retrieving a first enabler from a database using the computer system, the first enabler specifying to the software application an enablement of the first operation only with respect to the first content; and as a result of retrieving the first enabler, enabling, using the computer system, the first operation to operate on the first content within an operating context specified in the first enabler. | 1. A method comprising: receiving a first content in a software application hosted in a computer system, the software application implementing a first operation that is disabled by default; receiving a request in the computer system to operate on the first content using the first operation; in response to the request, retrieving a first enabler from a database using the computer system, the first enabler specifying to the software application an enablement of the first operation only with respect to the first content; and as a result of retrieving the first enabler, enabling, using the computer system, the first operation to operate on the first content within an operating context specified in the first enabler. 9. The method of claim 1 , further comprising saving the first enabler on the computer system hosting the software application. | 0.716287 |
4. The speech synthesis device according to claim 2 , wherein the device further comprises utterance speed conversion means for acquiring utterance speed data specifying conditions of a speed for producing the synthesis speech created by the creation means and for converting the voice unit data and/or speech data so as to represent a speech to be produced at a speed satisfying the conditions specified by the utterance speed data. | 4. The speech synthesis device according to claim 2 , wherein the device further comprises utterance speed conversion means for acquiring utterance speed data specifying conditions of a speed for producing the synthesis speech created by the creation means and for converting the voice unit data and/or speech data so as to represent a speech to be produced at a speed satisfying the conditions specified by the utterance speed data. 5. The speech synthesis device according to claim 4 , wherein the voice unit storage means operates to associate phonetic data representing a reading of voice unit with the voice unit data, and the selection means operates to handle voice unit data which is associated with phonetic data representing a reading matching with the reading of the voice unit composing the sentence, as voice unit whose reading is common with the voice unit. | 0.887081 |
17. A computer program product for delivering an announcement, the computer program product comprising one or more computer-readable tangible storage devices and program instructions stored on at least one of the one or more storage devices, the program instructions comprising: program instructions to receive, from a plurality of microphones deployed in an environment, input representative of audio of a group of human speakers speaking in the environment in two or more natural languages during a duration of time; program instructions to process the input to identify the two or more natural languages being spoken in the environment by the group of human speakers during the duration of time; program instructions to process the input to determine a relative proportion of each of the identified two or more natural languages being spoken in the environment by the group of human speakers during the duration of time; program instructions to determine two or more natural languages in which to deliver the announcement based, at least in part, on the relative proportion of each of the identified two or more natural languages being spoken in the environment by the group of human speakers during the duration of time; program instructions to determine a descending sequential order in which to deliver the announcement in the determined two or more natural languages based, at least in part, on the relative proportion of each of the identified two or more natural languages; and program instructions to cause to be delivered the announcement in the determined two or more natural languages in the determined descending sequential order transmitting the announcement to an announcement system. | 17. A computer program product for delivering an announcement, the computer program product comprising one or more computer-readable tangible storage devices and program instructions stored on at least one of the one or more storage devices, the program instructions comprising: program instructions to receive, from a plurality of microphones deployed in an environment, input representative of audio of a group of human speakers speaking in the environment in two or more natural languages during a duration of time; program instructions to process the input to identify the two or more natural languages being spoken in the environment by the group of human speakers during the duration of time; program instructions to process the input to determine a relative proportion of each of the identified two or more natural languages being spoken in the environment by the group of human speakers during the duration of time; program instructions to determine two or more natural languages in which to deliver the announcement based, at least in part, on the relative proportion of each of the identified two or more natural languages being spoken in the environment by the group of human speakers during the duration of time; program instructions to determine a descending sequential order in which to deliver the announcement in the determined two or more natural languages based, at least in part, on the relative proportion of each of the identified two or more natural languages; and program instructions to cause to be delivered the announcement in the determined two or more natural languages in the determined descending sequential order transmitting the announcement to an announcement system. 20. The computer program product of claim 17 , further comprising instructions, stored on at least one of the one or more storage devices, to cause the announcement to be delivered visually. | 0.57707 |
1. An online learning system for providing online learning using an application service provider system, the online learning system comprising: a database comprising a plurality of instruction group identifiers and associated network resource identifiers comprising uniform resource locators, each of the instruction group identifiers corresponding to one of a plurality of instruction groups, each of the instruction groups comprising student users, each of the network resource identifiers configured to identify one or more network resources; a file system comprising educational content for each of the instruction groups; an application server configured to be accessed by the plurality of instruction groups, the application server comprising: a provisioning module configured to assign one of the instruction group identifiers and one or more of the network resource identifiers to each of the instruction groups, each instruction group identifiers uniquely identifying a selected one of the instruction groups while being hidden from each of the instruction groups to prevent user access to the instruction group identifiers, wherein the instruction group identifiers are hidden by being stored in the database so that they are not directly accessible to the student users, an instruction group authentication module configured to: receive an access request from a selected one of the student users to access the educational content stored in the file system, the access request comprising a selected one of the network resource identifiers; and retrieve, in response to the access request, a selected one of the instruction group identifiers corresponding to the selected network resource identifier from the database, and a user authentication module configured to receive, with the access request, authentication information from the selected student user and to determine if the authentication information corresponds to a valid student user in a selected one of the instruction groups corresponding to the selected instruction group identifier; and an online classroom module configured to be executed by a computing system in a single computing instance in memory to provide the selected student user, among other authenticated student users, with simultaneous access to the educational content of the selected instruction group stored in the file system in response to receiving an indication from the user authentication module that the selected student user is a valid student user of the selected instruction group, wherein use of the instruction group identifiers enables the database to have a single table schema for the plurality of instruction groups, thereby enabling the database to be shared by the plurality of instruction groups without duplicating tables for the plurality of instruction groups. | 1. An online learning system for providing online learning using an application service provider system, the online learning system comprising: a database comprising a plurality of instruction group identifiers and associated network resource identifiers comprising uniform resource locators, each of the instruction group identifiers corresponding to one of a plurality of instruction groups, each of the instruction groups comprising student users, each of the network resource identifiers configured to identify one or more network resources; a file system comprising educational content for each of the instruction groups; an application server configured to be accessed by the plurality of instruction groups, the application server comprising: a provisioning module configured to assign one of the instruction group identifiers and one or more of the network resource identifiers to each of the instruction groups, each instruction group identifiers uniquely identifying a selected one of the instruction groups while being hidden from each of the instruction groups to prevent user access to the instruction group identifiers, wherein the instruction group identifiers are hidden by being stored in the database so that they are not directly accessible to the student users, an instruction group authentication module configured to: receive an access request from a selected one of the student users to access the educational content stored in the file system, the access request comprising a selected one of the network resource identifiers; and retrieve, in response to the access request, a selected one of the instruction group identifiers corresponding to the selected network resource identifier from the database, and a user authentication module configured to receive, with the access request, authentication information from the selected student user and to determine if the authentication information corresponds to a valid student user in a selected one of the instruction groups corresponding to the selected instruction group identifier; and an online classroom module configured to be executed by a computing system in a single computing instance in memory to provide the selected student user, among other authenticated student users, with simultaneous access to the educational content of the selected instruction group stored in the file system in response to receiving an indication from the user authentication module that the selected student user is a valid student user of the selected instruction group, wherein use of the instruction group identifiers enables the database to have a single table schema for the plurality of instruction groups, thereby enabling the database to be shared by the plurality of instruction groups without duplicating tables for the plurality of instruction groups. 3. The system of claim 1 , wherein the file system comprises a file hierarchy, wherein the educational content stored in the file hierarchy is configured to be accessed using a file path comprising the selected instruction group identifier. | 0.5 |
19. A system comprising: a first computer; a content viewer operably installed on the first computer; a content object accessible to the first computer via the content viewer; a second computer different from the first computer; a content viewer readable code component accessible to the second computer, the content viewer readable code component including dynamically selectable characteristics, the content viewer readable code component being useable with a plurality of different content viewers; combining the content viewer readable code component into the content object; serving the combined content object to a user system; and changing a portion of the content object upon execution of the content viewer readable code component at the user system without altering the remainder of the content object. | 19. A system comprising: a first computer; a content viewer operably installed on the first computer; a content object accessible to the first computer via the content viewer; a second computer different from the first computer; a content viewer readable code component accessible to the second computer, the content viewer readable code component including dynamically selectable characteristics, the content viewer readable code component being useable with a plurality of different content viewers; combining the content viewer readable code component into the content object; serving the combined content object to a user system; and changing a portion of the content object upon execution of the content viewer readable code component at the user system without altering the remainder of the content object. 20. The system as claimed in claim 19 wherein the portion of the content object changed upon execution of the content viewer readable code component includes a text box. | 0.561005 |
1. A computer system for transmitting aggregated web content from at least two web servers to a mobile telecommunication device in audio format, comprising: at least two web servers with web content, the web servers executing the steps of: receiving a user request for audio web content from a mobile telecommunications device; selecting a first web content in text format from a first of the at least two web servers in response to the user request; determining an aggregate pre-determined time and length for a plurality of second web content in an audio output format, wherein said plurality of second web content is capable of being incorporated with the selected first web content; selecting the plurality of second web content in text format from a second of the at least two web servers, wherein the plurality of second web content is related to content within the first web content, and wherein the selection of the plurality of second web content is based on the determined aggregate pre-determined time and length; identifying at least one initial keyword related to the selected second web content; identifying a plurality of related keywords related to the identified at least one initial keyword; converting the selected first web content, the identified at least one keyword, the selected plurality of second web content and the identified plurality of related keywords to an audio format; and transmitting the converted web content to the mobile telecommunications device via a telecommunications link, wherein the converted web content in audio format is interactive in response to input of the selected at least one initial keyword or at least one of the plurality of related keywords by the user. | 1. A computer system for transmitting aggregated web content from at least two web servers to a mobile telecommunication device in audio format, comprising: at least two web servers with web content, the web servers executing the steps of: receiving a user request for audio web content from a mobile telecommunications device; selecting a first web content in text format from a first of the at least two web servers in response to the user request; determining an aggregate pre-determined time and length for a plurality of second web content in an audio output format, wherein said plurality of second web content is capable of being incorporated with the selected first web content; selecting the plurality of second web content in text format from a second of the at least two web servers, wherein the plurality of second web content is related to content within the first web content, and wherein the selection of the plurality of second web content is based on the determined aggregate pre-determined time and length; identifying at least one initial keyword related to the selected second web content; identifying a plurality of related keywords related to the identified at least one initial keyword; converting the selected first web content, the identified at least one keyword, the selected plurality of second web content and the identified plurality of related keywords to an audio format; and transmitting the converted web content to the mobile telecommunications device via a telecommunications link, wherein the converted web content in audio format is interactive in response to input of the selected at least one initial keyword or at least one of the plurality of related keywords by the user. 3. The computer system of claim 1 , wherein converting the selected first web content in text format comprises the use of at least one text-to-speech transcoder. | 0.5 |
33. A non-transitory computer-readable medium having stored contents that, when executed, configure a computing system to perform a method, the method comprising: obtaining, by the configured computing system, information about a distributed group discussion having a plurality of content items submitted by a plurality of users related to multiple topics; determining, by the configured computing system, multiple visual aspects to use to display information to one or more users about the multiple topics, including at least one sizes of displayed items or vertical locations of displayed items; generating, by the configured computing system, information for display to the one or more users, the generated information including, for each of the multiple topics, at least one summarization that is based on a subset of the obtained information corresponding to the topic and that is represented using at least one of the multiple visual aspects; and providing, by the configured computing system, the generated information for display to the one or more users. | 33. A non-transitory computer-readable medium having stored contents that, when executed, configure a computing system to perform a method, the method comprising: obtaining, by the configured computing system, information about a distributed group discussion having a plurality of content items submitted by a plurality of users related to multiple topics; determining, by the configured computing system, multiple visual aspects to use to display information to one or more users about the multiple topics, including at least one sizes of displayed items or vertical locations of displayed items; generating, by the configured computing system, information for display to the one or more users, the generated information including, for each of the multiple topics, at least one summarization that is based on a subset of the obtained information corresponding to the topic and that is represented using at least one of the multiple visual aspects; and providing, by the configured computing system, the generated information for display to the one or more users. 36. The non-transitory computer-readable medium of claim 33 wherein the multiple topics are part of multiple categories of information, and wherein the generated information illustrates comparative information for the multiple categories of information. | 0.831004 |
3. The method of claim 1 , comprising: determining a first distance between the first space and the second space; determining a second distance between the first space and the third space; and determining a third distance between the second space and the third space, wherein determining the two dimensional geometric shape comprises determining the two dimensional geometric shape using the first distance, the second distance, and the third distance. | 3. The method of claim 1 , comprising: determining a first distance between the first space and the second space; determining a second distance between the first space and the third space; and determining a third distance between the second space and the third space, wherein determining the two dimensional geometric shape comprises determining the two dimensional geometric shape using the first distance, the second distance, and the third distance. 5. The method of claim 3 , wherein the two dimensional geometric shape comprises a word centroid and the document signature indicates a signature location of the centroid in the image. | 0.831724 |
5. The computer-implemented system of claim 1 , wherein the actual city elements are selected from the group consisting of: businesses, buildings, attractions, services, facilities, objects, and inhabitants. | 5. The computer-implemented system of claim 1 , wherein the actual city elements are selected from the group consisting of: businesses, buildings, attractions, services, facilities, objects, and inhabitants. 6. The computer-implemented system of claim 5 , wherein the businesses are selected from the group consisting of: professional offices, trade offices, banks, factories, real estate offices, hotels, motels, restaurants, diners, coffee shops, bars, night clubs, casinos, stores, shops, malls, and salons. | 0.943705 |
15. A computer program product, encoded on a non-transitory computer-readable medium, operable to cause one or more processors to perform operations for correcting words in transcribed text, the operations comprising: receiving speech audio data generated by a microphone of a computing device, wherein the speech audio data corresponds to an utterance received by the microphone; providing a transcription of the utterance for output in an output region of a display of the computing device, wherein the transcription of the utterance is obtained from an automated speech recognizer operable to transcribe the speech audio data corresponding to the utterance; receiving a user selection of a portion of the transcription of the utterance, the user-selected portion of the transcription of the utterance comprising one or more words; in response to receiving the user selection of the portion of the transcription of the utterance, presenting one or more controls at the display of the computing device that each correspond to (i) one or more alternate words for the user-selected portion of the transcription of the utterance or (ii) a remove command to remove the user-selected portion of the transcription of the utterance from the transcription of the utterance; receiving a user selection of a particular control from among the one or more controls; and updating the transcription of the utterance output in the output region of the display of the computing device based at least on the user selection of the particular control. | 15. A computer program product, encoded on a non-transitory computer-readable medium, operable to cause one or more processors to perform operations for correcting words in transcribed text, the operations comprising: receiving speech audio data generated by a microphone of a computing device, wherein the speech audio data corresponds to an utterance received by the microphone; providing a transcription of the utterance for output in an output region of a display of the computing device, wherein the transcription of the utterance is obtained from an automated speech recognizer operable to transcribe the speech audio data corresponding to the utterance; receiving a user selection of a portion of the transcription of the utterance, the user-selected portion of the transcription of the utterance comprising one or more words; in response to receiving the user selection of the portion of the transcription of the utterance, presenting one or more controls at the display of the computing device that each correspond to (i) one or more alternate words for the user-selected portion of the transcription of the utterance or (ii) a remove command to remove the user-selected portion of the transcription of the utterance from the transcription of the utterance; receiving a user selection of a particular control from among the one or more controls; and updating the transcription of the utterance output in the output region of the display of the computing device based at least on the user selection of the particular control. 18. The computer program product of claim 15 , wherein updating the transcription of the utterance output in the output region of the display of the computing device comprises performing operations to: determine an updated transcription of the utterance based at least on the user selection of the particular control, the updated transcription having a highest probability of being correct of all transcriptions of the utterance that are based at least on the user selection of the particular control, wherein the transcriptions of the utterance that are based at least on the user selection of the particular control are obtained from the automated speech recognizer; and update the transcription of the utterance output in the output region of the display of the computing device to include the updated transcription. | 0.564474 |
18. The method as claimed in claim 1 , wherein the providing data management services comprises, in response to user's action on a data warehouse object in the data warehouse, automatically processing data warehouse objects that are impacted by the user's action. | 18. The method as claimed in claim 1 , wherein the providing data management services comprises, in response to user's action on a data warehouse object in the data warehouse, automatically processing data warehouse objects that are impacted by the user's action. 19. The method as claimed in claim 18 , wherein the providing data management services comprises: automatically identifying the data warehouse objects that are impacted by the user's action; and updating the data warehouse objects impacted or presenting a list of the data warehouse objects impacted to the user for a further action. | 0.901909 |
8. The improvement of claim 1 wherein the inner core has a first longitudinal section and an integral second longitudinal section, the first longitudinal section having the slit, the first longitudinal section extending between the first and second bone attachment structures and the second longitudinal section extending between the second bone attachment structure and a third bone attachment structure. | 8. The improvement of claim 1 wherein the inner core has a first longitudinal section and an integral second longitudinal section, the first longitudinal section having the slit, the first longitudinal section extending between the first and second bone attachment structures and the second longitudinal section extending between the second bone attachment structure and a third bone attachment structure. 10. The improvement of claim 8 wherein the second longitudinal section is a solid rod. | 0.862777 |
8. A machine translation method, implemented using a computer, comprising: preparing a storage unit configured to store a plurality of interpretation data items each including a first expression element representing a first expression of a first language, an interpretation word set element including the first expression, and a second expression element representing a second expression of a second language, wherein the first expression is to be translated into the second expression, and the first expression and the second expression are included in a category; acquiring, by the computer, a predetermined expression of the first language, the predetermined expression being included in a structure of a to-be-translated document, wherein words or sentences are arranged regularly in the structure; acquiring, by the computer, a first word set element including the predetermined expression and one or more expressions having equivalent positional relationship to the predetermined expression in the structure; detecting, by the computer, a subset from the plurality of interpretation data items, each of the subset including an expression element representing the predetermined expression and one or more word set elements; performing, by the computer, matching between the first word set element and each of the one or more word set elements of the detected subset based on at least one of a number and an order of expressions of the first word set element; selecting, by the computer, from the detected subset, an interpretation data item according to the matching; and translating, by the computer, the predetermined expression into the second language, using the selected interpretation data item. | 8. A machine translation method, implemented using a computer, comprising: preparing a storage unit configured to store a plurality of interpretation data items each including a first expression element representing a first expression of a first language, an interpretation word set element including the first expression, and a second expression element representing a second expression of a second language, wherein the first expression is to be translated into the second expression, and the first expression and the second expression are included in a category; acquiring, by the computer, a predetermined expression of the first language, the predetermined expression being included in a structure of a to-be-translated document, wherein words or sentences are arranged regularly in the structure; acquiring, by the computer, a first word set element including the predetermined expression and one or more expressions having equivalent positional relationship to the predetermined expression in the structure; detecting, by the computer, a subset from the plurality of interpretation data items, each of the subset including an expression element representing the predetermined expression and one or more word set elements; performing, by the computer, matching between the first word set element and each of the one or more word set elements of the detected subset based on at least one of a number and an order of expressions of the first word set element; selecting, by the computer, from the detected subset, an interpretation data item according to the matching; and translating, by the computer, the predetermined expression into the second language, using the selected interpretation data item. 14. The method according to claim 8 , wherein the stored plurality of interpretation data items contain expressions of the second language corresponding to expressions of the first language and parts of speech corresponding to the expressions. | 0.597944 |
12. A system for performing claim analysis, comprising: a computer, comprising: an analysis application configured to perform steps, comprising: parsing a dependent claim to obtain one or more claim strings, each claim string comprising words within a dependent claim element; determining a number of claim strings of the dependent claim; initializing a dependent claim score by merging the number of claim strings with a first factor; and for each claim string parsed from the dependent claim: computing a word count for the words within the claim string, determining a weighted word count based on the word count and a second factor, merging the weighted word count to the dependent claim score; determining a parent claim score associated with a parent claim of the dependent claim; and merging the parent claim score with the dependent claim score. | 12. A system for performing claim analysis, comprising: a computer, comprising: an analysis application configured to perform steps, comprising: parsing a dependent claim to obtain one or more claim strings, each claim string comprising words within a dependent claim element; determining a number of claim strings of the dependent claim; initializing a dependent claim score by merging the number of claim strings with a first factor; and for each claim string parsed from the dependent claim: computing a word count for the words within the claim string, determining a weighted word count based on the word count and a second factor, merging the weighted word count to the dependent claim score; determining a parent claim score associated with a parent claim of the dependent claim; and merging the parent claim score with the dependent claim score. 15. The system of claim 12 , further configured to perform steps for: determining a broadest claim according to a minimum claim score; and displaying the broadest claim. | 0.709091 |
6. The apparatus as in claim 2 , wherein the candidate rephrased objects and the reference rephrased objects are data structures comprising: a representation of information derived from an original free-form text entry; and a representation of the difference between the information contained in the rephrased object and the original free-form text entry. | 6. The apparatus as in claim 2 , wherein the candidate rephrased objects and the reference rephrased objects are data structures comprising: a representation of information derived from an original free-form text entry; and a representation of the difference between the information contained in the rephrased object and the original free-form text entry. 7. The apparatus as in claim 6 , wherein the data structures further comprise: information regarding the processing that generated the rephrased object; and information regarding the context of the original free-form text entry. | 0.933318 |
2. The computerized method according to claim 1 , further comprising: determining using the processing circuit a first online event signal and a second online event signal based on each network device identifier's network activity; and determining using the processing circuit a time representation of the time between the first online event signal and the second online event signal. | 2. The computerized method according to claim 1 , further comprising: determining using the processing circuit a first online event signal and a second online event signal based on each network device identifier's network activity; and determining using the processing circuit a time representation of the time between the first online event signal and the second online event signal. 3. The computerized method according to claim 2 , further comprising: comparing using the processing circuit the time representation to a first predetermined value; and identifying using the processing circuit a long-term time representation, if the time representation is greater than the first predetermined value. | 0.930179 |
4. A method, comprising: rendering, by a system including a processor, a visualization comprising a first display object and a second display object, wherein the first display object and the second display object are related to at least one hardware device; obtaining, by the system, context information for a user identity of an industrial automation system comprising a state of the at least one hardware device within an industrial automation system; determining, by the system, a first level of relevance of the first display object to the user identity based on the context information; determining, by the system, a second level of relevance of the second display object to the user identity based on the context information, wherein the first level of relevance is determined to be higher than the second level of relevance; initiating, by the system, an update of the visualization to render the first display object more prominently than the second display object based on the first level of relevance being higher than the second level of relevance. | 4. A method, comprising: rendering, by a system including a processor, a visualization comprising a first display object and a second display object, wherein the first display object and the second display object are related to at least one hardware device; obtaining, by the system, context information for a user identity of an industrial automation system comprising a state of the at least one hardware device within an industrial automation system; determining, by the system, a first level of relevance of the first display object to the user identity based on the context information; determining, by the system, a second level of relevance of the second display object to the user identity based on the context information, wherein the first level of relevance is determined to be higher than the second level of relevance; initiating, by the system, an update of the visualization to render the first display object more prominently than the second display object based on the first level of relevance being higher than the second level of relevance. 5. The method of claim 4 , wherein the initiating the update of the visualization comprises increasing a size of the first display object relative to the second display object based on the first level of relevance being greater than the second level of relevance. | 0.644097 |
1. A method of dynamically creating a multimodal markup document, the method comprising: selecting a multimodal markup template, the multimodal markup template comprising visual markup and voice markup, the visual markup and voice markup operating to synchronize voice interactions specified by the voice markup and visual interactions specified by the visual markup, the multimodal markup template comprising identifications to dynamic content modules capable of creating dynamic content for insertion in the template; identifying in dependence upon the multimodal markup template a dynamic content module; instantiating the dynamic content module; executing a dynamic content creation function in the instantiated dynamic content module; receiving dynamic content from the dynamic content creation function; and including the dynamic content in the multimodal markup template. | 1. A method of dynamically creating a multimodal markup document, the method comprising: selecting a multimodal markup template, the multimodal markup template comprising visual markup and voice markup, the visual markup and voice markup operating to synchronize voice interactions specified by the voice markup and visual interactions specified by the visual markup, the multimodal markup template comprising identifications to dynamic content modules capable of creating dynamic content for insertion in the template; identifying in dependence upon the multimodal markup template a dynamic content module; instantiating the dynamic content module; executing a dynamic content creation function in the instantiated dynamic content module; receiving dynamic content from the dynamic content creation function; and including the dynamic content in the multimodal markup template. 2. The method of claim 1 wherein selecting a multimodal markup template further comprises identifying a multimodal markup template from URI encoded data embedded in a request for a multimodal markup document from a multimodal browser. | 0.808632 |
1. A method of compiling marketing information for a client, comprising: (a) crawling blog posts; (b) extracting an insight related to a topic from the crawled blog posts; (c) collecting one or more measurements of traffic to a client website, the traffic being referred to the client website by referring blog posts, the referring blog posts including the crawled blog posts; (d) associating the measurements of traffic with the extracted insight; and (e) aggregating the measurements of traffic associated with the insight across the crawled blog posts, wherein the aggregating comprises multiplying each measurement of traffic by a weighting factor associated with respective referring blog posts to obtain a product, and summing the products. | 1. A method of compiling marketing information for a client, comprising: (a) crawling blog posts; (b) extracting an insight related to a topic from the crawled blog posts; (c) collecting one or more measurements of traffic to a client website, the traffic being referred to the client website by referring blog posts, the referring blog posts including the crawled blog posts; (d) associating the measurements of traffic with the extracted insight; and (e) aggregating the measurements of traffic associated with the insight across the crawled blog posts, wherein the aggregating comprises multiplying each measurement of traffic by a weighting factor associated with respective referring blog posts to obtain a product, and summing the products. 5. The method of claim 1 , wherein the step (a) includes crawling blog posts, which contain at least one link to the client website. | 0.506494 |
1. A method for displaying a user-interactive collection of content associated with text on a web page, the method comprising: accessing an entity database storing a plurality of entity definitions associated with a plurality of text phrases, wherein each entity definition specifies a contextual category associated with a corresponding text phrase; parsing text on a web page; identifying entities in the entity database related to the parsed text; utilizing a geographic location to classify a meaning of text on the web page; filtering the entities based on the meaning of the text; providing an indication to visually identify the text on the web page; receiving an indication of a trigger event from a user; requesting and receiving web content related to the text; displaying the web content in a window rendered as an overlay on top of the web page, wherein the window displays options for interacting with the web information; and adjacent to the UI window, displaying an advertisement window with a web advertisement contextually related to a portion of the web information. | 1. A method for displaying a user-interactive collection of content associated with text on a web page, the method comprising: accessing an entity database storing a plurality of entity definitions associated with a plurality of text phrases, wherein each entity definition specifies a contextual category associated with a corresponding text phrase; parsing text on a web page; identifying entities in the entity database related to the parsed text; utilizing a geographic location to classify a meaning of text on the web page; filtering the entities based on the meaning of the text; providing an indication to visually identify the text on the web page; receiving an indication of a trigger event from a user; requesting and receiving web content related to the text; displaying the web content in a window rendered as an overlay on top of the web page, wherein the window displays options for interacting with the web information; and adjacent to the UI window, displaying an advertisement window with a web advertisement contextually related to a portion of the web information. 2. The method of claim 1 , further comprising using tracking data associated with the user to select the web advertisement for display in the advertisement window. | 0.566556 |
19. An article, comprising a tangible non-transitory storage medium, said non-transitory storage medium having stored thereon instructions that, when executed by a machine, result in: identifying at least two words in the text; determining category memberships for the at least two words; and using the category memberships for the at least two words to establish a signature for the at least two words, the signature for the at least two words representing the attitude about the text. | 19. An article, comprising a tangible non-transitory storage medium, said non-transitory storage medium having stored thereon instructions that, when executed by a machine, result in: identifying at least two words in the text; determining category memberships for the at least two words; and using the category memberships for the at least two words to establish a signature for the at least two words, the signature for the at least two words representing the attitude about the text. 20. An article according to claim 19 , wherein determining category memberships for the at least two words includes determining category memberships for the at least two words along at least a content dimension and a quality dimension. | 0.593071 |
13. A computer program product for asynchronous communications, the computer program product embodied on a non-transitory computer-readable medium, the computer program product comprising: computer program instructions for receiving at a library management system a recorded speech message from a call of a sender to a handheld device of a recipient, wherein the recorded speech message was recorded by the sender for the recipient to listen to on the handheld device, and wherein the sender is a first human user and the recipient is a second human user; computer program instructions for converting the recorded speech message to text; computer program instructions for identifying a recipient of the recorded speech message in dependence upon the text; computer program instructions for extracting keywords from the text; computer program instructions for searching content under management for the keywords; computer program instructions for associating the recorded speech message with content under management by a library management system in dependence upon the text, wherein associating the recorded speech message with content under management by a library management system in dependence upon the text further comprises identifying the associated content based on one or more of the keywords matching a title or metadata identification of the content under management; and computer program instructions for storing the recorded speech message and the associated content for transmission to another handheld device for the recipient. | 13. A computer program product for asynchronous communications, the computer program product embodied on a non-transitory computer-readable medium, the computer program product comprising: computer program instructions for receiving at a library management system a recorded speech message from a call of a sender to a handheld device of a recipient, wherein the recorded speech message was recorded by the sender for the recipient to listen to on the handheld device, and wherein the sender is a first human user and the recipient is a second human user; computer program instructions for converting the recorded speech message to text; computer program instructions for identifying a recipient of the recorded speech message in dependence upon the text; computer program instructions for extracting keywords from the text; computer program instructions for searching content under management for the keywords; computer program instructions for associating the recorded speech message with content under management by a library management system in dependence upon the text, wherein associating the recorded speech message with content under management by a library management system in dependence upon the text further comprises identifying the associated content based on one or more of the keywords matching a title or metadata identification of the content under management; and computer program instructions for storing the recorded speech message and the associated content for transmission to another handheld device for the recipient. 14. The computer program product of claim 13 further comprising computer program instructions for recording a speech message on handheld device and computer program instructions for transferring a media file containing the recorded speech message to a library management system. | 0.627771 |
38. The method according to claim 37 , wherein forwarding the formulated question or command to the agent architecture includes transmitting a request to the remotely located service. | 38. The method according to claim 37 , wherein forwarding the formulated question or command to the agent architecture includes transmitting a request to the remotely located service. 39. The method according to claim 38 , wherein the remotely located service is associated with a remotely located device. | 0.96603 |
Subsets and Splits
No saved queries yet
Save your SQL queries to embed, download, and access them later. Queries will appear here once saved.