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7. A computer implemented method according to claim 1 wherein said inferring step comprises the steps of: determining whether one or more of said new predicates is not useful to solve said query; and eliminating said non-useful new predicate.
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7. A computer implemented method according to claim 1 wherein said inferring step comprises the steps of: determining whether one or more of said new predicates is not useful to solve said query; and eliminating said non-useful new predicate. 8. A computer implemented method according to claim 7 wherein said eliminating step involves eliminating axiomatic predicates.
| 0.929287 |
16. The computer system of claim 15 , wherein when the second application program includes second information associated with the first information, and comprising means for performing the further step of displaying the second information.
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16. The computer system of claim 15 , wherein when the second application program includes second information associated with the first information, and comprising means for performing the further step of displaying the second information. 17. The computer system of claim 16 , further comprising means for completing at least one of the first and second information in the document.
| 0.820258 |
21. The product as recited in claim 21 further comprising a speech synthesis module for responding to the user in the language of the detected utterance.
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21. The product as recited in claim 21 further comprising a speech synthesis module for responding to the user in the language of the detected utterance. 21. The product as recited in claim 21 further comprising a speech synthesis module for responding to the user in the language of the detected utterance.
| 0.921074 |
19. The device of claim 16 , wherein the synthesizing of the speech is performed using selected voice units from the database, wherein the selected voice units comprise a first voice unit from the first portion of the voice data, and comprise a second voice unit from the second portion of the voice data.
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19. The device of claim 16 , wherein the synthesizing of the speech is performed using selected voice units from the database, wherein the selected voice units comprise a first voice unit from the first portion of the voice data, and comprise a second voice unit from the second portion of the voice data. 20. The device of claim 19 , wherein the synthesized speech is synthesized without parameterizing the first portion of the voice data and without parameterizing the second portion of the voice data.
| 0.816489 |
11. A computer system comprising: a mediation computer configured to mediate a conversation between users of at least two computers comprised of a plurality of messages, wherein the mediation computer is configured to receive user input comprising at least a portion of a message of the conversation, determine a candidate tag representative of a semantic context of the user input, provide an indication of the candidate tag to the user and receive a response from the user regarding validity of the candidate tag with respect to the semantic context of the user input, wherein the mediation computer is configured to determine the candidate tag by: (i) determining the candidate tag in an instance in which the user input relates to an initial message of the conversation based upon a domain within which the user input is provided, wherein the domain is selected from the group consisting of design, manufacturing and maintenance operations of the system within which the user input is provided; and (ii) determining the candidate tag in an instance in which the user input relates to an ongoing conversation based upon the semantic context of the conversation including a mapping of words in the conversation to concepts in the respective semantic context or matching of elements in the conversation to elements within a corpus of other conversations, wherein the mediation computer is further configured to cause the maintenance report to be generated and stored with the maintenance report modified to include the computer-mediated conversation and the candidate tag associated therewith; and an ancillary computer configured to review the maintenance report including the conversation following completion of the conversation.
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11. A computer system comprising: a mediation computer configured to mediate a conversation between users of at least two computers comprised of a plurality of messages, wherein the mediation computer is configured to receive user input comprising at least a portion of a message of the conversation, determine a candidate tag representative of a semantic context of the user input, provide an indication of the candidate tag to the user and receive a response from the user regarding validity of the candidate tag with respect to the semantic context of the user input, wherein the mediation computer is configured to determine the candidate tag by: (i) determining the candidate tag in an instance in which the user input relates to an initial message of the conversation based upon a domain within which the user input is provided, wherein the domain is selected from the group consisting of design, manufacturing and maintenance operations of the system within which the user input is provided; and (ii) determining the candidate tag in an instance in which the user input relates to an ongoing conversation based upon the semantic context of the conversation including a mapping of words in the conversation to concepts in the respective semantic context or matching of elements in the conversation to elements within a corpus of other conversations, wherein the mediation computer is further configured to cause the maintenance report to be generated and stored with the maintenance report modified to include the computer-mediated conversation and the candidate tag associated therewith; and an ancillary computer configured to review the maintenance report including the conversation following completion of the conversation. 13. A computer system according to claim 11 further comprising a memory configured to store the conversation including the plurality of messages and respective tags associated therewith, wherein the ancillary computer is configured to review the conversation stored by the memory.
| 0.553236 |
15. A non-transitory machine-readable medium storing a set of instructions that, when executed by one or more processors of a machine, cause the machine to perform operations to improve exposures of listings of items stored in one or more databases of an electronic commerce system across a plurality of front-end taxonomies associated with a plurality of subsystems of the electronic commerce system, the operations comprising: identifying that a listing of an item is exposed to a plurality of users of a first subsystem of the plurality of subsystems via a set of categories of a first front-end taxonomy of the plurality of front-end taxonomies, the first front-end taxonomy being associated with the first subsystem, the listing associated with a first inventory, the first inventory associated with the first subsystem; mapping the listing of the item to a set of categories of a global back-end taxonomy of the electronic commerce system, the global back-end taxonomy being maintained independently of the first front-end taxonomy and a second front-end taxonomy of the plurality of front-end taxonomies, the second front-end taxonomy being associated with a second subsystem of the plurality of subsystems, the mapping of the listing based on a product type of the listing; mapping a category of the set of categories of the global back-end taxonomy to a category of a set of categories of the second front-end taxonomy associated with the second subsystem, the mapping of the category based on the product type and a most common classification of other listings associated with a second inventory, the second inventory associated with the second subsystem; and exposing the listing of the item to a plurality of users of the second subsystem via the set of categories of the second front-end taxonomy based on the mapping of the listing of the item to the set of categories of the global back-end taxonomy and the mapping of the set of categories of the global back-end taxonomy to the category of the second front-end taxonomy, the exposing allowing a user of the second subsystem to access the listing associated with the first inventory from a user interface of the second subsystem.
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15. A non-transitory machine-readable medium storing a set of instructions that, when executed by one or more processors of a machine, cause the machine to perform operations to improve exposures of listings of items stored in one or more databases of an electronic commerce system across a plurality of front-end taxonomies associated with a plurality of subsystems of the electronic commerce system, the operations comprising: identifying that a listing of an item is exposed to a plurality of users of a first subsystem of the plurality of subsystems via a set of categories of a first front-end taxonomy of the plurality of front-end taxonomies, the first front-end taxonomy being associated with the first subsystem, the listing associated with a first inventory, the first inventory associated with the first subsystem; mapping the listing of the item to a set of categories of a global back-end taxonomy of the electronic commerce system, the global back-end taxonomy being maintained independently of the first front-end taxonomy and a second front-end taxonomy of the plurality of front-end taxonomies, the second front-end taxonomy being associated with a second subsystem of the plurality of subsystems, the mapping of the listing based on a product type of the listing; mapping a category of the set of categories of the global back-end taxonomy to a category of a set of categories of the second front-end taxonomy associated with the second subsystem, the mapping of the category based on the product type and a most common classification of other listings associated with a second inventory, the second inventory associated with the second subsystem; and exposing the listing of the item to a plurality of users of the second subsystem via the set of categories of the second front-end taxonomy based on the mapping of the listing of the item to the set of categories of the global back-end taxonomy and the mapping of the set of categories of the global back-end taxonomy to the category of the second front-end taxonomy, the exposing allowing a user of the second subsystem to access the listing associated with the first inventory from a user interface of the second subsystem. 17. The non-transitory machine-readable medium of claim 15 , wherein the item is one of a plurality of items listed on the electronic commerce system, and wherein a plurality of nodes of the global back-end taxonomy correspond to a plurality of product types associated with the plurality of items.
| 0.530526 |
1. A distributed interactive media system, said system comprising: a location server, said location server storing a location of an interactive application; an application server, said application server storing, at said location, said interactive application in a predetermined format, said interactive application calling for spoken text and speech recognition; a plurality of media resources, said plurality of media resources including at least one automatic speech recognition (ASR) engine and at least one text-to-speech (TTS) engine; a resource manager for managing usage of said media resources; and a browser, said browser obtaining said location from said location server and said interactive application in said predetermined format from said application server, said browser invoking said media resources through said resource manager in accordance with said interactive application, wherein said browser invokes said at least one TTS engine when said interactive application calls for spoken text and invokes said at least one ASR engine when said interactive application calls for speech recognition.
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1. A distributed interactive media system, said system comprising: a location server, said location server storing a location of an interactive application; an application server, said application server storing, at said location, said interactive application in a predetermined format, said interactive application calling for spoken text and speech recognition; a plurality of media resources, said plurality of media resources including at least one automatic speech recognition (ASR) engine and at least one text-to-speech (TTS) engine; a resource manager for managing usage of said media resources; and a browser, said browser obtaining said location from said location server and said interactive application in said predetermined format from said application server, said browser invoking said media resources through said resource manager in accordance with said interactive application, wherein said browser invokes said at least one TTS engine when said interactive application calls for spoken text and invokes said at least one ASR engine when said interactive application calls for speech recognition. 5. The distributed interactive media system of claim 1 , wherein said predetermined format is a markup language.
| 0.581395 |
24. A non-transitory computer-readable storage medium storing computer-executable instructions that when executed by a processor perform operations comprising: providing a software program for download to a first computing device associated with a user; based at least in part on the receipt of a verified phone address, creating a user account wherein the verified phone address is associated with the user account; enabling delivery of a voice message directed to the user to the first computing device associated with the user, wherein the delivered voice message is playable to the user via a user interface of the first software program; enabling the play the voice message via a web browser of a second computing device associated with the user; receiving via at least one network interface a presence indication transmission from the first computing device associated with the user, the presence indication transmission indicating that the first computing device associated with the user is online; and in response to a voice message deletion instruction received via the web browser of the second computing device associated with the user, enabling at least in part, synchronization of the deletion of the voice message stored on the first computing device associated with the user in cooperation with the software program on the first computing device associated with the user.
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24. A non-transitory computer-readable storage medium storing computer-executable instructions that when executed by a processor perform operations comprising: providing a software program for download to a first computing device associated with a user; based at least in part on the receipt of a verified phone address, creating a user account wherein the verified phone address is associated with the user account; enabling delivery of a voice message directed to the user to the first computing device associated with the user, wherein the delivered voice message is playable to the user via a user interface of the first software program; enabling the play the voice message via a web browser of a second computing device associated with the user; receiving via at least one network interface a presence indication transmission from the first computing device associated with the user, the presence indication transmission indicating that the first computing device associated with the user is online; and in response to a voice message deletion instruction received via the web browser of the second computing device associated with the user, enabling at least in part, synchronization of the deletion of the voice message stored on the first computing device associated with the user in cooperation with the software program on the first computing device associated with the user. 25. The non-transitory computer-readable storage medium as defined in claim 24 , wherein the verification of the phone address comprises verification that a received set of digits is a valid phone address.
| 0.68038 |
1. A method comprising: causing, by one or more processors, a first natural language processing (NLP) annotator of an NLP system to annotate a corpus, thereby producing an annotated corpus that includes a first set of annotation(s); causing, by one or more processors, a second NLP annotator of the NLP system to annotate the annotated corpus that includes the first set of annotation(s), thereby producing a second set of annotation(s) that annotate the annotated corpus that includes the first set of annotation(s); determining, by one or more processors, based, at least in part, on the second set of annotation(s), that a first annotation error has occurred in the annotation of the corpus by the first NLP annotator; identifying, by one or more processors, a cause of the first annotation error; generating, by one or more processors, a candidate set of annotation correction actions, where each annotation correction action of the set is directed to the identified cause and is adapted to prevent an occurrence of an error similar to the first annotation error by the first NLP annotator; selecting, by one or more processors, an annotation correction action from the candidate set of annotation correction actions, based, at least in part, on a set of annotation correction confidence characteristics and based, at least in part, on an impact analysis performed against one or more ground truth annotations, the ground truth annotations having been performed by humans; automatically applying, by one or more processors, the selected annotation correction action to the first NLP annotator; and causing, by one or more processors, the first NLP annotator to annotate a new corpus, thereby producing new annotation(s) based on the applied annotation correction action.
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1. A method comprising: causing, by one or more processors, a first natural language processing (NLP) annotator of an NLP system to annotate a corpus, thereby producing an annotated corpus that includes a first set of annotation(s); causing, by one or more processors, a second NLP annotator of the NLP system to annotate the annotated corpus that includes the first set of annotation(s), thereby producing a second set of annotation(s) that annotate the annotated corpus that includes the first set of annotation(s); determining, by one or more processors, based, at least in part, on the second set of annotation(s), that a first annotation error has occurred in the annotation of the corpus by the first NLP annotator; identifying, by one or more processors, a cause of the first annotation error; generating, by one or more processors, a candidate set of annotation correction actions, where each annotation correction action of the set is directed to the identified cause and is adapted to prevent an occurrence of an error similar to the first annotation error by the first NLP annotator; selecting, by one or more processors, an annotation correction action from the candidate set of annotation correction actions, based, at least in part, on a set of annotation correction confidence characteristics and based, at least in part, on an impact analysis performed against one or more ground truth annotations, the ground truth annotations having been performed by humans; automatically applying, by one or more processors, the selected annotation correction action to the first NLP annotator; and causing, by one or more processors, the first NLP annotator to annotate a new corpus, thereby producing new annotation(s) based on the applied annotation correction action. 3. The method of claim 1 , wherein the identified cause of the first annotation error is a missing item.
| 0.594934 |
17. The electronic device of claim 1 , wherein the one or more programs further include instructions for: receiving a speech input from a user, wherein the natural language text string corresponds to the speech input.
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17. The electronic device of claim 1 , wherein the one or more programs further include instructions for: receiving a speech input from a user, wherein the natural language text string corresponds to the speech input. 18. The electronic device of claim 17 , wherein the one or more programs further include instructions for: performing speech-to-text processing on the speech input to generate the natural language text string.
| 0.888729 |
1. A computer-implemented method for preparing, taking and scoring tests for a class of students and reporting the results thereof, the method comprising: electronically storing test questions and analysis in a database; electronically storing student identification information, including an email address for each student and authorized time accommodations pertaining to students in the class; electronic transmitting a URL to the email address for each student in the class providing a link to a test; individually accessing the test using the URL sent electronically by the teacher; and electronically retrieving and applying time accommodations corresponding to the student receiving the URL; automatically applying teacher preferences for each student accessing the test; automatically generating test questions saved in the database for each student accessing the test based on the teacher preferences; electronically responding to the questions and submitting the test for scoring; electronically scoring answers to the test questions for each of the students taking the test; electronically analyzing the answers to the tests provided by each of the students taking the test and grading each of the tests based on the teacher preferences; electronically sending each student the score and analysis corresponding to the test taken by the student; and electronically storing the score for each student in the database.
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1. A computer-implemented method for preparing, taking and scoring tests for a class of students and reporting the results thereof, the method comprising: electronically storing test questions and analysis in a database; electronically storing student identification information, including an email address for each student and authorized time accommodations pertaining to students in the class; electronic transmitting a URL to the email address for each student in the class providing a link to a test; individually accessing the test using the URL sent electronically by the teacher; and electronically retrieving and applying time accommodations corresponding to the student receiving the URL; automatically applying teacher preferences for each student accessing the test; automatically generating test questions saved in the database for each student accessing the test based on the teacher preferences; electronically responding to the questions and submitting the test for scoring; electronically scoring answers to the test questions for each of the students taking the test; electronically analyzing the answers to the tests provided by each of the students taking the test and grading each of the tests based on the teacher preferences; electronically sending each student the score and analysis corresponding to the test taken by the student; and electronically storing the score for each student in the database. 5. The method of claim 1 , wherein the questions include questions requiring an audible response.
| 0.812977 |
3. A computer implemented method for determining if an advertisement is relevant to a target document, the method comprising: identifying targeting information for the advertisement; identifying a set of one or more topics of the target document by analyzing the content of the target document; comparing the targeting information to the set of one or more topics to determine if a match exists; determining that the advertisement is relevant to the target document if the match exists; making a serving determination using the determination of whether or not the advertisement is relevant to the target document; and controlling serving of the advertisement for presentation to a requestor via a client device using the serving determination, wherein the advertisement belongs to an advertiser, wherein the targeting information includes a set of one or more topics previously provided from the advertiser, wherein analyzing the content comprises identifying a set of one or more topics by calculating weighted terms for the target document based on text within the target document, and wherein the set of one or more topics contains those of the weighted terms whose weight exceeds a defined threshold.
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3. A computer implemented method for determining if an advertisement is relevant to a target document, the method comprising: identifying targeting information for the advertisement; identifying a set of one or more topics of the target document by analyzing the content of the target document; comparing the targeting information to the set of one or more topics to determine if a match exists; determining that the advertisement is relevant to the target document if the match exists; making a serving determination using the determination of whether or not the advertisement is relevant to the target document; and controlling serving of the advertisement for presentation to a requestor via a client device using the serving determination, wherein the advertisement belongs to an advertiser, wherein the targeting information includes a set of one or more topics previously provided from the advertiser, wherein analyzing the content comprises identifying a set of one or more topics by calculating weighted terms for the target document based on text within the target document, and wherein the set of one or more topics contains those of the weighted terms whose weight exceeds a defined threshold. 5. The computer implemented method of claim 3 , wherein analyzing the content further comprises identifying a topic based on other portions of a collection of which the target document is a part, wherein the collection is one of (a) documents under a common directory, and (b) Web pages belonging to the same Website.
| 0.5 |
13. A method comprising: providing a question interface to the user of the social networking system for display, the question interface comprising a plurality of selectable topics, each selectable topic associated with one or more tags stored by the social networking system; receiving a selection of a topic in the question interface from the user; retrieving profile information related to the user, the profile information including the user's tag affinities; selecting questions based on tags related to the selected topic; for each of the questions, determining a score for the question by combining the user's tag affinities for the tags; for each of the questions, adjusting the score for the question based on a duration of time elapsed since the user last interacted with one or more questions associated with the tags; sorting the questions based on the adjusted scores for the questions; and providing one or more of the sorted questions in the question interface for display to the user.
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13. A method comprising: providing a question interface to the user of the social networking system for display, the question interface comprising a plurality of selectable topics, each selectable topic associated with one or more tags stored by the social networking system; receiving a selection of a topic in the question interface from the user; retrieving profile information related to the user, the profile information including the user's tag affinities; selecting questions based on tags related to the selected topic; for each of the questions, determining a score for the question by combining the user's tag affinities for the tags; for each of the questions, adjusting the score for the question based on a duration of time elapsed since the user last interacted with one or more questions associated with the tags; sorting the questions based on the adjusted scores for the questions; and providing one or more of the sorted questions in the question interface for display to the user. 16. The method of claim 13 , wherein the profile information further includes a history of the user's interactions with questions on the social networking system and wherein selecting questions based on tags related to the selected topic further comprises: determining a frequency of interaction for each of at least one past tag associated with the history of the user's interactions with questions on the social networking system; and selecting questions based on the past tags with a frequency of interaction that meets a predetermined threshold.
| 0.526196 |
1. A system for optimizing timing of responses to communications, comprising: an electronic communication system including: a contact center configured to receive a communication from a sender; and an operations center for processing the communication received by the contact center and including: a decision module configured to analyze the communication and determine whether a partial response to the communication is required, before a full response is sent to the communication, based on the communication's content and how such communications are typically processed, wherein the decision module determines whether the communication requires the partial response according to an estimated time required for the full response to the communication and based on the communication's content and how such communications are typically processed; and a response module configured to send the partial response to the sender, if required, wherein the decision module determines a new estimated time required for the full response to the communication after the response module sends the partial response, and the response module sends a new partial response, before the full response is sent to the communication, indicating that the communication is still being processed, after the new estimated time required has been exceeded and based on the communication's content and how such communications are typically processed.
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1. A system for optimizing timing of responses to communications, comprising: an electronic communication system including: a contact center configured to receive a communication from a sender; and an operations center for processing the communication received by the contact center and including: a decision module configured to analyze the communication and determine whether a partial response to the communication is required, before a full response is sent to the communication, based on the communication's content and how such communications are typically processed, wherein the decision module determines whether the communication requires the partial response according to an estimated time required for the full response to the communication and based on the communication's content and how such communications are typically processed; and a response module configured to send the partial response to the sender, if required, wherein the decision module determines a new estimated time required for the full response to the communication after the response module sends the partial response, and the response module sends a new partial response, before the full response is sent to the communication, indicating that the communication is still being processed, after the new estimated time required has been exceeded and based on the communication's content and how such communications are typically processed. 2. The system of claim 1 , wherein, when the estimated time required for the full response to the communication is lower than a threshold, then the decision module determines that the partial response is not required.
| 0.502451 |
1. A method for document classification, comprising: embedding n-grams from an input text in a latent space; embedding the input text in the latent space based on the embedded n-grams and weighting the n-grams according to a non-linear function q j = 1 Q ∑ k = 1 K sigmoid ( a k · j N + b k ) , using a mixture model on a relative position of the n-grams in the input text, where a k and b k are parameters to be learned, Q = ∑ j = 1 N q j and K specify a number of mixture quantities, sigmoid (•) is a non-linear transfer function, q j is the weight associated with a j th n-gram, j signifies the position of an n-gram in the input text, and N is the position of a final n-gram in the input text; classifying the document along one or more axes using a processor; and adjusting weights used to weight the n-grams based on the output of the classifying step.
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1. A method for document classification, comprising: embedding n-grams from an input text in a latent space; embedding the input text in the latent space based on the embedded n-grams and weighting the n-grams according to a non-linear function q j = 1 Q ∑ k = 1 K sigmoid ( a k · j N + b k ) , using a mixture model on a relative position of the n-grams in the input text, where a k and b k are parameters to be learned, Q = ∑ j = 1 N q j and K specify a number of mixture quantities, sigmoid (•) is a non-linear transfer function, q j is the weight associated with a j th n-gram, j signifies the position of an n-gram in the input text, and N is the position of a final n-gram in the input text; classifying the document along one or more axes using a processor; and adjusting weights used to weight the n-grams based on the output of the classifying step. 2. The method of claim 1 , wherein embedding the input text in the latent space is calculated as a weighted sum over the embedded n-grams in the input text.
| 0.625743 |
17. The non-transitory computer-usable medium of claim 16 , wherein the computer executable instructions are further configured for: creating a new rule that comports with the business vocabulary context in the existing software application.
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17. The non-transitory computer-usable medium of claim 16 , wherein the computer executable instructions are further configured for: creating a new rule that comports with the business vocabulary context in the existing software application. 18. The non-transitory computer-usable medium of claim 17 , wherein the computer executable instructions are further configured for: categorizing the new rule as a categorized new rule; and storing the categorized new rule in a rule repository that is accessible to the existing software application.
| 0.827521 |
1. A method, comprising: receiving, by a processor and from a first user, one or more comments related to a first document; identifying, by the processor, a second document that is not identical to the first document and includes at least a threshold amount of content from the first document; determining, by the processor, a document identifier associated with the second document; storing, by the processor, information that includes the one or more comments related to the first document and the document identifier associated with the second document, the stored information associating the one or more comments related to the first document and the document identifier associated with the second document; forming, by the processor and using the stored information, a web document that, when rendered, includes a first portion to present content associated with the second document and a second portion to present information associated with the one or more comments related to the first document, the first portion and the second portion being different; and enabling, by the processor, a second user to access the web document.
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1. A method, comprising: receiving, by a processor and from a first user, one or more comments related to a first document; identifying, by the processor, a second document that is not identical to the first document and includes at least a threshold amount of content from the first document; determining, by the processor, a document identifier associated with the second document; storing, by the processor, information that includes the one or more comments related to the first document and the document identifier associated with the second document, the stored information associating the one or more comments related to the first document and the document identifier associated with the second document; forming, by the processor and using the stored information, a web document that, when rendered, includes a first portion to present content associated with the second document and a second portion to present information associated with the one or more comments related to the first document, the first portion and the second portion being different; and enabling, by the processor, a second user to access the web document. 4. The method of claim 1 , where the document identifier comprises an address associated with the second document.
| 0.752632 |
7. A computer system for responding to user queries, the system comprising: at least one processor programmed to execute one or more computer program instructions which, when executed, cause the at least one processor to: receive a query submitted by a user; identify a set of documents that are related to the query; determine ratings associated with individual documents of the set of documents, wherein each of the ratings is either provided by the user or is an inferred rating for the associated document with respect to the user; determine, for each of the ratings associated with a particular document from the set of documents, a weight based on whether the rating (i) is provided by the user or (ii) is an inferred rating, wherein a weight for an inferred rating is determined based on a number of documents for which the user provided ratings in a category to which the particular document belongs and consistency of the ratings; determine an additional category related to one other document associated with one other inferred rating of the ratings, wherein determining a weight for each of the ratings comprises determining a weight for the one other inferred rating based on how many documents for which the user provided a rating that are related to the additional category such that the weight for the one other inferred rating is greater than the weight for the one inferred rating based on the number of documents for which the user provided a rating that are related to the additional category being greater than the number of documents for which the user provided a rating that are related to the category; compute, for the particular document a weighted rating based on the weight associated with the rating; rank the set of documents based on the weighted ratings of the set of documents; and generate, based on the ranking, a search report that indicates (i) at least some of the documents of the set of documents and (ii) at least one of the ratings.
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7. A computer system for responding to user queries, the system comprising: at least one processor programmed to execute one or more computer program instructions which, when executed, cause the at least one processor to: receive a query submitted by a user; identify a set of documents that are related to the query; determine ratings associated with individual documents of the set of documents, wherein each of the ratings is either provided by the user or is an inferred rating for the associated document with respect to the user; determine, for each of the ratings associated with a particular document from the set of documents, a weight based on whether the rating (i) is provided by the user or (ii) is an inferred rating, wherein a weight for an inferred rating is determined based on a number of documents for which the user provided ratings in a category to which the particular document belongs and consistency of the ratings; determine an additional category related to one other document associated with one other inferred rating of the ratings, wherein determining a weight for each of the ratings comprises determining a weight for the one other inferred rating based on how many documents for which the user provided a rating that are related to the additional category such that the weight for the one other inferred rating is greater than the weight for the one inferred rating based on the number of documents for which the user provided a rating that are related to the additional category being greater than the number of documents for which the user provided a rating that are related to the category; compute, for the particular document a weighted rating based on the weight associated with the rating; rank the set of documents based on the weighted ratings of the set of documents; and generate, based on the ranking, a search report that indicates (i) at least some of the documents of the set of documents and (ii) at least one of the ratings. 10. The system of claim 7 , wherein determining the respective weights for each of the ratings comprises determining a weight for one inferred rating of the ratings based on one or more degrees of similarity between (i) a document associated with the one inferred rating and (ii) one or more other documents for which the user has provided a rating on which the one inferred rating is based.
| 0.66506 |
1. A computer-implemented method for utilizing a plurality of recognizers to process an utterance based on a markup language document, comprising: receiving the markup language document; receiving the utterance; selecting at least one of the plurality of recognizers for returning a results set for the utterance based on markup language in the markup language document, the at least one of the plurality of recognizers for returning the results set for the utterance being selected based on markup language in the markup language document, the selection based on the markup language further comprising: recognizing a grammar used in the utterance; parsing the markup language document for at least one markup language tag identifying at least one of the plurality of recognizers for returning the results set for the utterance based on the grammar; and selecting, by an event handler, the at least one of the plurality of recognizers identified by the at least one markup language tag, the selected at least one of the plurality of recognizers comprising a local recognizer embedded on a client computing device, when the grammar includes data stored on the client computing device, the selected at least one of the plurality of recognizers comprising a network recognizer on a network server, when the grammar includes data which is retrieved via a query from the network server to a remote search engine; receiving the results set from the selected at least one of the plurality of recognizers in a format determined by a processing method specified in the markup language document; and executing an event in response to receiving the results set, the event comprising determining actions in response to receiving the results set, the actions being based on at least an assigned confidence score indicating an accuracy of a speech recognition for the utterance, the actions comprising ignoring the results set when the results sets comprises unprocessed results for the utterance and the confidence score is below a predetermined threshold, the actions further comprising preventing the results set from being displayed to a user.
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1. A computer-implemented method for utilizing a plurality of recognizers to process an utterance based on a markup language document, comprising: receiving the markup language document; receiving the utterance; selecting at least one of the plurality of recognizers for returning a results set for the utterance based on markup language in the markup language document, the at least one of the plurality of recognizers for returning the results set for the utterance being selected based on markup language in the markup language document, the selection based on the markup language further comprising: recognizing a grammar used in the utterance; parsing the markup language document for at least one markup language tag identifying at least one of the plurality of recognizers for returning the results set for the utterance based on the grammar; and selecting, by an event handler, the at least one of the plurality of recognizers identified by the at least one markup language tag, the selected at least one of the plurality of recognizers comprising a local recognizer embedded on a client computing device, when the grammar includes data stored on the client computing device, the selected at least one of the plurality of recognizers comprising a network recognizer on a network server, when the grammar includes data which is retrieved via a query from the network server to a remote search engine; receiving the results set from the selected at least one of the plurality of recognizers in a format determined by a processing method specified in the markup language document; and executing an event in response to receiving the results set, the event comprising determining actions in response to receiving the results set, the actions being based on at least an assigned confidence score indicating an accuracy of a speech recognition for the utterance, the actions comprising ignoring the results set when the results sets comprises unprocessed results for the utterance and the confidence score is below a predetermined threshold, the actions further comprising preventing the results set from being displayed to a user. 5. The method of claim 1 , wherein receiving the results set from the selected at least one of the plurality of recognizers in a format determined by a processing method specified in the markup language document comprises receiving the results set in at least one of an unprocessed results format and a processed results format, wherein the unprocessed results format comprises one or more terms comprising a speech recognition of the utterance and wherein the processed results format comprises a speech recognition of one or more terms associated with the utterance.
| 0.722168 |
3. The non-transitory, computer readable media as recited in claim 1 , wherein, in response to the user interacting with the interactivity element displayed in the touch sensitive display, the instructions also cause a second plurality of control interface elements to be temporarily added to the content access interface together with the first plurality of control interface elements and the one or more of the plurality of media interface elements, wherein each of the second plurality of control interface elements is representative of transport operational function of the first controllable appliance and each of the second plurality of control interface elements is selectable by the user to cause the smart device to transmit a command to cause the first controllable appliance to perform a transport control function corresponding to the selected one of the second plurality of control interface elements.
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3. The non-transitory, computer readable media as recited in claim 1 , wherein, in response to the user interacting with the interactivity element displayed in the touch sensitive display, the instructions also cause a second plurality of control interface elements to be temporarily added to the content access interface together with the first plurality of control interface elements and the one or more of the plurality of media interface elements, wherein each of the second plurality of control interface elements is representative of transport operational function of the first controllable appliance and each of the second plurality of control interface elements is selectable by the user to cause the smart device to transmit a command to cause the first controllable appliance to perform a transport control function corresponding to the selected one of the second plurality of control interface elements. 11. The non-transitory, computer readable media as recited in claim 3 , wherein the control interactivity element comprises an element that is intended to be dragged across the touch sensitive display.
| 0.93403 |
15. A computer-implemented system for performing speech recognition, the system comprising: at least one computer programmed to: initiate a communication session with a speaker, the communication session requiring automatic speech recognition (ASR); and determine a characteristic of the speaker, the characteristic selected from a group consisting of a speaker identity and at least one voice characteristic for the speaker; and an identification unit configured to identify a speaker-dependent phrase-based ASR grammar to use in the communication session, wherein different phrase-based grammars are used for different users based on at least one speaker-dependent feature independent of a gender of the users; an information collection unit configured to record feedback in real-time of ASR phrase processing operations during the communication session, wherein each ASR phrase processing operation seeks to match a spoken utterance against at least one entry within the identified speaker dependent, phrase-based grammar, each entry of the at least one entry within said identified speaker dependent, phrase-based grammar having a plurality of grammar option weights, each of the plurality of grammar option weights corresponding to a respective speech processing context, wherein the grammar option weights affect which entries are matched to the spoken utterances; and a logic unit configured to utilize said recorded feedback to automatically adjust the grammar option weights of the ASR grammar to improve accuracy of the identified speaker dependent, phrase-based grammar.
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15. A computer-implemented system for performing speech recognition, the system comprising: at least one computer programmed to: initiate a communication session with a speaker, the communication session requiring automatic speech recognition (ASR); and determine a characteristic of the speaker, the characteristic selected from a group consisting of a speaker identity and at least one voice characteristic for the speaker; and an identification unit configured to identify a speaker-dependent phrase-based ASR grammar to use in the communication session, wherein different phrase-based grammars are used for different users based on at least one speaker-dependent feature independent of a gender of the users; an information collection unit configured to record feedback in real-time of ASR phrase processing operations during the communication session, wherein each ASR phrase processing operation seeks to match a spoken utterance against at least one entry within the identified speaker dependent, phrase-based grammar, each entry of the at least one entry within said identified speaker dependent, phrase-based grammar having a plurality of grammar option weights, each of the plurality of grammar option weights corresponding to a respective speech processing context, wherein the grammar option weights affect which entries are matched to the spoken utterances; and a logic unit configured to utilize said recorded feedback to automatically adjust the grammar option weights of the ASR grammar to improve accuracy of the identified speaker dependent, phrase-based grammar. 17. The system of claim 15 , wherein the logic unit adjusts the ASR grammar to affect a plurality of possible matching entries responsive to a single ASR processed utterance.
| 0.591929 |
8. A method for generating contextual markups of formatted documents, comprising: a) inputting a document into a system for document analysis, comprising a processor and software configured to a) receive textual documents over an electronic communication network and convert textual documents into image files, identify text in said image files, wherein said text is mapped to the document image using a database comprising text of the document; b) permit a user to add contextual markups to said image files wherein said contextual markups are images or HTML tags that are added to an invisible image that maps exactly onto each image of said image file, and wherein said image file is not modified, c) generate an originality report, wherein said generating said originality report comprises the step of highlighting said sections of said image file identified in the originality report as allegedly containing plagiarized text, wherein said highlighting is glyph aware highlighting that associates glyphs with images using the pixel coordinates of the image, which maps to a text database of said document; and d) display said image file on a display screen, wherein said image file simultaneously displays said contextual markups and said highlights; b) adding contextual markups to said image document; c) generating an originality report and highlighting sections of said image file that allegedly contain plagiarized text using said glyph aware highlighting; and d) displaying said image containing said highlighting and said contextual markups, wherein said glyph aware highlighting and said contextual markups are displayed simultaneously.
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8. A method for generating contextual markups of formatted documents, comprising: a) inputting a document into a system for document analysis, comprising a processor and software configured to a) receive textual documents over an electronic communication network and convert textual documents into image files, identify text in said image files, wherein said text is mapped to the document image using a database comprising text of the document; b) permit a user to add contextual markups to said image files wherein said contextual markups are images or HTML tags that are added to an invisible image that maps exactly onto each image of said image file, and wherein said image file is not modified, c) generate an originality report, wherein said generating said originality report comprises the step of highlighting said sections of said image file identified in the originality report as allegedly containing plagiarized text, wherein said highlighting is glyph aware highlighting that associates glyphs with images using the pixel coordinates of the image, which maps to a text database of said document; and d) display said image file on a display screen, wherein said image file simultaneously displays said contextual markups and said highlights; b) adding contextual markups to said image document; c) generating an originality report and highlighting sections of said image file that allegedly contain plagiarized text using said glyph aware highlighting; and d) displaying said image containing said highlighting and said contextual markups, wherein said glyph aware highlighting and said contextual markups are displayed simultaneously. 9. The method of claim 8 , wherein said processor or software is further configured to store information pertaining to said received document in a database.
| 0.521474 |
15. A computer implemented system, comprising: one or more computer processors; and a non-transitory computer-readable storage medium comprising instructions, that when executed, control the one or more computer processors to be configured for: receiving a table containing a plurality of entries, each entry storing plain text; receiving an entity database containing an entity collection, the entity collection including a plurality of entity tags that belong to a category, wherein an entity tag from the plurality of entity tags is linked with metadata information from an open access database; determining that a set of entries from the plurality of entries belong to the category; matching an entry in the set of entries to the entity tag; linking the entity tag to the entry; searching, by the processor, an available resource other than the open access database to link additional data related to the entry according to the entity tag; selecting the additional data from a canvas overlying the available resource; and enriching, by the processor, the table to include the additional data in a new column.
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15. A computer implemented system, comprising: one or more computer processors; and a non-transitory computer-readable storage medium comprising instructions, that when executed, control the one or more computer processors to be configured for: receiving a table containing a plurality of entries, each entry storing plain text; receiving an entity database containing an entity collection, the entity collection including a plurality of entity tags that belong to a category, wherein an entity tag from the plurality of entity tags is linked with metadata information from an open access database; determining that a set of entries from the plurality of entries belong to the category; matching an entry in the set of entries to the entity tag; linking the entity tag to the entry; searching, by the processor, an available resource other than the open access database to link additional data related to the entry according to the entity tag; selecting the additional data from a canvas overlying the available resource; and enriching, by the processor, the table to include the additional data in a new column. 20. The computer implemented system of claim 15 , wherein receiving the table comprises: detecting an input representative of selecting an area of a web page; determining that the area of the web page substantially contains the table; and scraping the table from the web page.
| 0.5 |
3. A speech recognizing apparatus according to claim 1 wherein the input speech has syllables and wherein the duration predicator predicates the duration data for each one of the recognition units of the input speech using the following equation: ##EQU17## where represents a predicated value of the duration data of an n-th syllable of the input speech; d(i) represents the duration data of an i-th syllable of the input speech; and w(i) represents a weighing value of the duration data of an i-th syllable of the input speech.
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3. A speech recognizing apparatus according to claim 1 wherein the input speech has syllables and wherein the duration predicator predicates the duration data for each one of the recognition units of the input speech using the following equation: ##EQU17## where represents a predicated value of the duration data of an n-th syllable of the input speech; d(i) represents the duration data of an i-th syllable of the input speech; and w(i) represents a weighing value of the duration data of an i-th syllable of the input speech. 8. A speech recognizing apparatus according to claim 3 further comprising a weighing value determining unit for calculating the weighing value for each one of a plurality of factors, said weighting value is a degree of influence on the duration data, and a reference speech duration storage buffer for storing the weighing value and the duration data of each one of the recognition units already matched, and wherein the duration predicator predicates the duration of each one of the recognition units of the input speech using the following equation: ##EQU22## where represents the predicated value of the duration of the n-th syllable; d(i) represents the duration of the i-th syllable; dr(n,m) represents an average duration of the recognition unit within a same group as an i-th recognition unit at an m-th one of the plurality of factors; and .beta.m represents the weighing value of the m-th one of the plurality of factors.
| 0.68957 |
14. The method of claim 1 , wherein extracting is performed in a user interactive mode where a user provides user input facilitating extraction during the extraction.
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14. The method of claim 1 , wherein extracting is performed in a user interactive mode where a user provides user input facilitating extraction during the extraction. 15. The method of claim 14 , wherein the user input facilitating extraction during the extraction is provided as a result of a prompt to the user for each correlation.
| 0.933962 |
7. A method comprising: detecting, by use of a processor, a sub-logogram from a written input; selecting a first list of logograms, wherein each logogram of the first list of logograms comprises the sub-logogram, and the first list of logograms comprises a Unicode representation for each logogram of the first list of logograms; detecting a pronunciation from an audio input; selecting a second list of logograms, wherein each logogram of the second list of logograms comprises the pronunciation, and the second list of logograms comprises a Unicode representation for each logogram of the second list of logograms; selecting one or more logogram hints by selecting a list of Unicode representations that includes Unicode representations that are in both of the first and second lists of logograms; and displaying the one or more logogram hints to display a limited number of logogram hints to enable a user to quickly select a desired logogram, wherein each logogram hint of the one or more logogram hints comprises the sub-logogram.
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7. A method comprising: detecting, by use of a processor, a sub-logogram from a written input; selecting a first list of logograms, wherein each logogram of the first list of logograms comprises the sub-logogram, and the first list of logograms comprises a Unicode representation for each logogram of the first list of logograms; detecting a pronunciation from an audio input; selecting a second list of logograms, wherein each logogram of the second list of logograms comprises the pronunciation, and the second list of logograms comprises a Unicode representation for each logogram of the second list of logograms; selecting one or more logogram hints by selecting a list of Unicode representations that includes Unicode representations that are in both of the first and second lists of logograms; and displaying the one or more logogram hints to display a limited number of logogram hints to enable a user to quickly select a desired logogram, wherein each logogram hint of the one or more logogram hints comprises the sub-logogram. 10. The method of claim 7 , further comprising receiving a selection of a target logogram from the one or more logogram hints.
| 0.832895 |
7. The method of claim 1 , wherein assigning the selected sentences further comprises: for each selected sentence, assigning the selected sentence to one of a plurality of fringe groups or one of a plurality of core groups, wherein updating the training data further comprises associating each of the plurality of fringe groups with one of a plurality of fringe subclasses and each of the plurality of core groups with one of a plurality of core subclasses.
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7. The method of claim 1 , wherein assigning the selected sentences further comprises: for each selected sentence, assigning the selected sentence to one of a plurality of fringe groups or one of a plurality of core groups, wherein updating the training data further comprises associating each of the plurality of fringe groups with one of a plurality of fringe subclasses and each of the plurality of core groups with one of a plurality of core subclasses. 9. The method of claim 7 , wherein assigning the selected sentences further comprises: determining a distribution of confidence scores for the selected sentences; and for each selected sentence, assigning the selected sentence to one of the plurality of fringe groups or one of the plurality of core groups according to a distance between the confidence score of the selected sentence and a mean confidence score of the distribution.
| 0.806202 |
14. A non-transitory computer-readable storage medium carrying one or more sequences of instructions, wherein execution of the one or more sequences of instructions by one or more processors causes the one or more processors to perform the steps of: a database server rewriting an original query into a rewritten query, said original query including: a first path-based expression in a SELECT clause that evaluates to first one or more values, and second path-based expressions in both a FROM clause and a WHERE clause; wherein the rewritten query includes a first rewritten expression that causes the first one or more values to be computed using streaming evaluation; wherein the rewritten query includes second rewritten expressions that correspond to said second path-based expressions; said database server computing the first written expression using streaming evaluation; said database server computing the second rewritten expressions using XML index evaluation of an XML index that indexes nodes in a collection of XML documents, wherein each index entry of entries of said XML index contains location data that identifies a location of an element within a representation of an XML document of said collection of XML documents; wherein the second rewritten expression evaluates to an output for location information within a representation of a particular XML document, wherein said output of said second rewritten expression is an input to said first rewritten expression, wherein said location information is derived from location data from an entry in said XML index; and wherein computing the first rewritten expression includes using said location information to locate an element within said representation of said particular XML document using streaming evaluation.
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14. A non-transitory computer-readable storage medium carrying one or more sequences of instructions, wherein execution of the one or more sequences of instructions by one or more processors causes the one or more processors to perform the steps of: a database server rewriting an original query into a rewritten query, said original query including: a first path-based expression in a SELECT clause that evaluates to first one or more values, and second path-based expressions in both a FROM clause and a WHERE clause; wherein the rewritten query includes a first rewritten expression that causes the first one or more values to be computed using streaming evaluation; wherein the rewritten query includes second rewritten expressions that correspond to said second path-based expressions; said database server computing the first written expression using streaming evaluation; said database server computing the second rewritten expressions using XML index evaluation of an XML index that indexes nodes in a collection of XML documents, wherein each index entry of entries of said XML index contains location data that identifies a location of an element within a representation of an XML document of said collection of XML documents; wherein the second rewritten expression evaluates to an output for location information within a representation of a particular XML document, wherein said output of said second rewritten expression is an input to said first rewritten expression, wherein said location information is derived from location data from an entry in said XML index; and wherein computing the first rewritten expression includes using said location information to locate an element within said representation of said particular XML document using streaming evaluation. 15. The non-transitory computer-readable storage medium of claim 14 , wherein computing the first rewritten expression includes using said location information to locate an element within said representation.
| 0.553209 |
22. An apparatus for generating a knowledge system, comprising: one or more processors; a memory; connected to the processors by a bus; and one or more stored sequences of instructions which, when executed by the one or more processors, cause the one or more processors to carry out the steps of: receiving a set of rules, specifying actions to be taken in response to finding specific types of input data and a format of an output t-box; receiving a first set of input information, in a format satisfying the rules; wherein the input information has sufficient structure to enable rules to be applied to the input information to determine individual fields therefrom; generating from the first set of input information and the set of rules a t-box comprising categories and relationships about categories, and an a-box comprising assertions of individual instances of the categories of the t-box, wherein the a-box is generated by applying the set of rules to the first set of input information, and wherein the t-box and the a-box are generated concurrently such that the a-box is generated while the t-box is being generated; generating a Web Ontology Language (“OWL”) database using the a-box and the t-box; and generating a knowledge base based on OWL statements of the OWL database.
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22. An apparatus for generating a knowledge system, comprising: one or more processors; a memory; connected to the processors by a bus; and one or more stored sequences of instructions which, when executed by the one or more processors, cause the one or more processors to carry out the steps of: receiving a set of rules, specifying actions to be taken in response to finding specific types of input data and a format of an output t-box; receiving a first set of input information, in a format satisfying the rules; wherein the input information has sufficient structure to enable rules to be applied to the input information to determine individual fields therefrom; generating from the first set of input information and the set of rules a t-box comprising categories and relationships about categories, and an a-box comprising assertions of individual instances of the categories of the t-box, wherein the a-box is generated by applying the set of rules to the first set of input information, and wherein the t-box and the a-box are generated concurrently such that the a-box is generated while the t-box is being generated; generating a Web Ontology Language (“OWL”) database using the a-box and the t-box; and generating a knowledge base based on OWL statements of the OWL database. 31. The apparatus of claim 22 , wherein the set of rules comprises instructions for processing tags of a markup language.
| 0.658111 |
1. A computer implemented method comprising: translating an abstract phrase from a first language to a second language; receiving the translated abstract phrase comprising a text phrase and a variable at a particular position in the text phrase; receiving a text value for the variable; combining the text phrase of the abstract phrase and the text value according to the particular position of the variable; applying, by a computer system, an integration rule at a boundary of the text phrase of the abstract phrase and the text value to produce an integrated phrase, the integration rule based on a language rule for the second language, wherein the integration rule modifies a portion of the text phrase of the abstract phrase or a portion of the text value.
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1. A computer implemented method comprising: translating an abstract phrase from a first language to a second language; receiving the translated abstract phrase comprising a text phrase and a variable at a particular position in the text phrase; receiving a text value for the variable; combining the text phrase of the abstract phrase and the text value according to the particular position of the variable; applying, by a computer system, an integration rule at a boundary of the text phrase of the abstract phrase and the text value to produce an integrated phrase, the integration rule based on a language rule for the second language, wherein the integration rule modifies a portion of the text phrase of the abstract phrase or a portion of the text value. 7. The method of claim 1 , wherein the abstract phrase is a translation of an original abstract phrase in a different language, the original abstract phrase comprising the same variable.
| 0.802156 |
18. The system for ranking search results using user preferences of claim 17 , wherein the sets of instructions when executed further cause the processor to use a first classification for each of the ranking factors based on whether the ranking factors are default factors.
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18. The system for ranking search results using user preferences of claim 17 , wherein the sets of instructions when executed further cause the processor to use a first classification for each of the ranking factors based on whether the ranking factors are default factors. 19. The system for ranking search results using user preferences of claim 18 , wherein the sets of instructions when executed further cause the processor to use a second classification for each of the ranking factors based on whether the ranking factors depend upon the user query.
| 0.81713 |
21. A computer-readable medium comprising code for causing an apparatus to recognize gesture, the code when executed causes the apparatus to: generate raw data of a gesture from one or more gesture capturing sensors; categorize the raw data into a plurality of gesture elements; determine a contextual dependency between the plurality of gesture elements, wherein the contextual dependency comprises probabilities of the plurality of gesture elements appearing next to each other in a temporal order or sequence; recategorize the raw data based on the contextual dependency between the plurality of gesture elements; and recognize the gesture based on the determined gesture elements.
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21. A computer-readable medium comprising code for causing an apparatus to recognize gesture, the code when executed causes the apparatus to: generate raw data of a gesture from one or more gesture capturing sensors; categorize the raw data into a plurality of gesture elements; determine a contextual dependency between the plurality of gesture elements, wherein the contextual dependency comprises probabilities of the plurality of gesture elements appearing next to each other in a temporal order or sequence; recategorize the raw data based on the contextual dependency between the plurality of gesture elements; and recognize the gesture based on the determined gesture elements. 22. The computer-readable medium of claim 21 , wherein the code when executed further causes the apparatus to recategorize the raw data by: in a first time interval, categorizing the raw data of a first portion of the gesture to be a first gesture element; and in a second time interval after the first time interval, categorizing the raw data of the first portion of the gesture as a second gesture element based on the contextual dependency of the gesture elements.
| 0.660377 |
13. The method of claim 1 wherein the content is accessed via a consumer electronics (CE) device, such that the step of monitoring further includes the step of monitoring user interaction with the device.
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13. The method of claim 1 wherein the content is accessed via a consumer electronics (CE) device, such that the step of monitoring further includes the step of monitoring user interaction with the device. 18. The method of claim 13 wherein: the content is accessed via a CE device, and the device can be connected to a local area network; and searching available sources further includes forming a query based on the key information and searching the Internet using the query.
| 0.856664 |
5. The method of claim 1 where the running of the dialog script on the mobile communication device comprises at least one of acoustically and optically presenting information to the user.
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5. The method of claim 1 where the running of the dialog script on the mobile communication device comprises at least one of acoustically and optically presenting information to the user. 7. The method of claim 5 where the optical presentation comprises presenting at least a part of the information as selectable via a touch screen.
| 0.927663 |
1. A method for automatically integrating data across disparate information systems, comprising: developing a first set of mapping relations that map entities in a source structured data model to corresponding entities in a target structured data model; developing a second set of mapping relations that map entities in the source structured data model and entities in the target structured data model to one or more shared contexts; processing the first and second sets of mapping relations to generate a new structured data model; and generating a web service comprising executable code that publishes the new structured data model to implement workflow between the source information system and the destination information system, the workflow comprising a path through a sequence of information systems processed by traversing through entities of the new structured data model to resolve an operation of the web service.
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1. A method for automatically integrating data across disparate information systems, comprising: developing a first set of mapping relations that map entities in a source structured data model to corresponding entities in a target structured data model; developing a second set of mapping relations that map entities in the source structured data model and entities in the target structured data model to one or more shared contexts; processing the first and second sets of mapping relations to generate a new structured data model; and generating a web service comprising executable code that publishes the new structured data model to implement workflow between the source information system and the destination information system, the workflow comprising a path through a sequence of information systems processed by traversing through entities of the new structured data model to resolve an operation of the web service. 6. The method of claim 1 , further comprising: processing the first set of mapping relations and the second set of mapping relations to generate a schema.
| 0.64807 |
1. A method comprising: receiving, at an external processing unit, speech from a user; processing the speech via an acoustic modeling process and a phoneme evaluation process; scoring Hidden Markov Models (HMMs) in association with the phoneme evaluation process by the following: receiving, at a co-processing unit, HMM information from an external processing unit, wherein the HMM information is derived from a plurality of HMMs, each HMM having a different type of data structure, wherein the different structures comprise Ergodic HMM structures, left-to-right structures, and parallel path left-to-right HMM structures; formatting, with the co-processing unit, the HMM information from each of the plurality of HMMs into a common HMM data structure to access the HMM information based on a priori knowledge of one or more fields and one or more indices in the common HMM data structure, wherein the formatting comprises formatting HMM information from at least one of a plurality of fields of the plurality of HMMs into the common HMM data structure; processing, with the co-processing unit, back pointer data and first HMM state scores for one or more NULL states in the common HMM data structure, each NULL state being a non-emitting state identified by a state-type flag; after processing the back pointer data and the first HMM state scores for each of the one or more NULL states in the common HMM data structure, processing, with the co-processing unit, second HMM state scores for one or more non-NULL states in the common HMM data structure based on at least one predecessor state; transferring the second HMM state scores from the co-processing unit to the external processing unit; and outputting, via the external processing unit, decoded speech based on the second HMM state scores.
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1. A method comprising: receiving, at an external processing unit, speech from a user; processing the speech via an acoustic modeling process and a phoneme evaluation process; scoring Hidden Markov Models (HMMs) in association with the phoneme evaluation process by the following: receiving, at a co-processing unit, HMM information from an external processing unit, wherein the HMM information is derived from a plurality of HMMs, each HMM having a different type of data structure, wherein the different structures comprise Ergodic HMM structures, left-to-right structures, and parallel path left-to-right HMM structures; formatting, with the co-processing unit, the HMM information from each of the plurality of HMMs into a common HMM data structure to access the HMM information based on a priori knowledge of one or more fields and one or more indices in the common HMM data structure, wherein the formatting comprises formatting HMM information from at least one of a plurality of fields of the plurality of HMMs into the common HMM data structure; processing, with the co-processing unit, back pointer data and first HMM state scores for one or more NULL states in the common HMM data structure, each NULL state being a non-emitting state identified by a state-type flag; after processing the back pointer data and the first HMM state scores for each of the one or more NULL states in the common HMM data structure, processing, with the co-processing unit, second HMM state scores for one or more non-NULL states in the common HMM data structure based on at least one predecessor state; transferring the second HMM state scores from the co-processing unit to the external processing unit; and outputting, via the external processing unit, decoded speech based on the second HMM state scores. 4. The method of claim 1 , wherein the formatting comprises formatting an HMM identification, a number of states associated with an HMM structure, a best score associated with the HMM structure, a state pointer for each of the one or more NULL and non-NULL states, an observation probability for each of the one or more non-NULL states, a path pointer for each of the one or more plurality of NULL states and one or more non-NULL states, and the state-type flag for each of the one or more plurality of NULL states and one or more non-NULL states, or a combination thereof for each of the plurality of HMMs into the common HMM data structure.
| 0.54972 |
1. A software documentation system, comprising: at least one processor that executes the following computer executable components stored on at least one non-transitory computer readable medium: a selection component that detects a project component within a context of a current language, the detected project component includes at least one documentation object associated with a software development tool in the software documentation system; a translation viewer provides an automated interface that displays alternative language documentation associated with the detected project component during editing of the at least one documentation object associated with the detected project component in the current language, when the alternative language documentation corresponding to the at least one documentation object exists in a storage medium operatively coupled to the software development tool; and an editor associated with the translation viewer that is linked to the context of the current language, the editor enables modification of the at least one documentation object associated with the detected project component, wherein the translation viewer provides an alert that is indicative of an existence of the alternative language documentation and provides a reminder that the alternative language documentation is to be adjusted in view of changes made to the at least one documentation object via the editor.
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1. A software documentation system, comprising: at least one processor that executes the following computer executable components stored on at least one non-transitory computer readable medium: a selection component that detects a project component within a context of a current language, the detected project component includes at least one documentation object associated with a software development tool in the software documentation system; a translation viewer provides an automated interface that displays alternative language documentation associated with the detected project component during editing of the at least one documentation object associated with the detected project component in the current language, when the alternative language documentation corresponding to the at least one documentation object exists in a storage medium operatively coupled to the software development tool; and an editor associated with the translation viewer that is linked to the context of the current language, the editor enables modification of the at least one documentation object associated with the detected project component, wherein the translation viewer provides an alert that is indicative of an existence of the alternative language documentation and provides a reminder that the alternative language documentation is to be adjusted in view of changes made to the at least one documentation object via the editor. 10. The system of claim 1 , further comprising an automatic language translator to facilitate creation of the alternative language documentation from one or more comments, in a first language, supplied to the project component.
| 0.543129 |
8. The method of claim 1 , wherein the electronic device comprises a first electronic device, and wherein transferring the data to the desired memory storage location comprises: transmitting the data to a desired memory storage location in a second electronic device.
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8. The method of claim 1 , wherein the electronic device comprises a first electronic device, and wherein transferring the data to the desired memory storage location comprises: transmitting the data to a desired memory storage location in a second electronic device. 9. The method of claim 8 , wherein transmitting the data comprises: transmitting the data via a radio-frequency, infrared, and/or wired connection to the second electronic device, wherein the second electronic device comprises at least one of a removable memory card, a desktop personal computer, and/or a file-share server/website.
| 0.840943 |
12. The system of claim 9 further comprising: textual XML query parser for providing a parsed XML query; and query optimizer for optimizing data flow.
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12. The system of claim 9 further comprising: textual XML query parser for providing a parsed XML query; and query optimizer for optimizing data flow. 13. The system of claim 12 further comprising a data flow modeler for receiving said parsed XML query and producing an equivalent data flow model.
| 0.942685 |
7. The audio data processing system of claim 6 , wherein said voice analysis portion is operable to perform at least one of spectral analysis, stress analysis and layered voice analysis on a portion of the speech data.
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7. The audio data processing system of claim 6 , wherein said voice analysis portion is operable to perform at least one of spectral analysis, stress analysis and layered voice analysis on a portion of the speech data. 8. The audio data processing system of claim 7 , wherein said voice analysis portion is further operable to determine at least one of gender, age and emotional temperament of the first user based on the performance of at the least one of spectral analysis, stress analysis and layered voice analysis on the portion of the speech data.
| 0.884718 |
10. A method for receiving page-specific user feedback concerning a particular web page of a website, comprising: using a first icon viewable on the particular web page to solicit one or more page-specific subjective ratings concerning the particular web page as a whole from a user that has accessed the particular web page; using a second icon viewable on the particular web page to solicit one or more page-specific open-ended comments concerning the particular web page from the user; and using software associated with the first and second icons to receive one or more page-specific subjective ratings concerning the particular web page as a whole and one or more page-specific open-ended comments concerning the particular web page from the user for reporting to a website owner, the software operable to require the user to provide one or more page-specific subjective ratings concerning the particular web page as a whole in order to provide one or more page-specific open-ended comments concerning the particular web page, association of the one or more required page-specific subjective ratings concerning the particular web page as a whole with the one or more page-specific open-ended comments concerning the particular web page making the one or more page-specific open-ended comments concerning the particular web page more meaningful to and useable by the website owner.
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10. A method for receiving page-specific user feedback concerning a particular web page of a website, comprising: using a first icon viewable on the particular web page to solicit one or more page-specific subjective ratings concerning the particular web page as a whole from a user that has accessed the particular web page; using a second icon viewable on the particular web page to solicit one or more page-specific open-ended comments concerning the particular web page from the user; and using software associated with the first and second icons to receive one or more page-specific subjective ratings concerning the particular web page as a whole and one or more page-specific open-ended comments concerning the particular web page from the user for reporting to a website owner, the software operable to require the user to provide one or more page-specific subjective ratings concerning the particular web page as a whole in order to provide one or more page-specific open-ended comments concerning the particular web page, association of the one or more required page-specific subjective ratings concerning the particular web page as a whole with the one or more page-specific open-ended comments concerning the particular web page making the one or more page-specific open-ended comments concerning the particular web page more meaningful to and useable by the website owner. 15. The method of claim 10 , wherein the software associated with the first and second icons is incorporated into software of the particular web page and the user need not download software separate from the particular web page to provide the one or more page-specific subjective ratings or the one or more page-specific open-ended comments.
| 0.586893 |
18. A computer program product for providing language translation between first and second communication terminals, the computer program product comprising a non-transitory computer readable storage medium having computer readable program code embodied therein that, when executed by a processor, causes the processor to: establish communication between the first and second communication terminals; map a signal received from the first communication terminal to machine-readable intermediate data indicative of sounds in a first human language, wherein the signal represents speech in the first human language and comprises features extracted according to a parametric model that is different than that used by the first communication terminal when operating in a non-language translation mode; translate the machine-readable intermediate data indicative of sounds in the first human language to further machine-readable intermediate data indicative of sounds in a second human language; generate a translated signal representing speech and/or text in the second human language, which is different from the first human language, in response to the further intermediate data, the speech and/or text represented by the translated signal having a meaning corresponding to that of the speech represented by the received signal; and provide the translated signal to the second communication terminal, wherein, when executed by the processor, the computer readable program code further causes the processor to: provide a request to the first communication terminal to use the parametric model to generate resenting speech in the first human language, wherein the signal representing speech in the first human language is received from the first communication terminal in response to the request to provide automatic capability negotiation between a language translation device and the first communication terminal.
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18. A computer program product for providing language translation between first and second communication terminals, the computer program product comprising a non-transitory computer readable storage medium having computer readable program code embodied therein that, when executed by a processor, causes the processor to: establish communication between the first and second communication terminals; map a signal received from the first communication terminal to machine-readable intermediate data indicative of sounds in a first human language, wherein the signal represents speech in the first human language and comprises features extracted according to a parametric model that is different than that used by the first communication terminal when operating in a non-language translation mode; translate the machine-readable intermediate data indicative of sounds in the first human language to further machine-readable intermediate data indicative of sounds in a second human language; generate a translated signal representing speech and/or text in the second human language, which is different from the first human language, in response to the further intermediate data, the speech and/or text represented by the translated signal having a meaning corresponding to that of the speech represented by the received signal; and provide the translated signal to the second communication terminal, wherein, when executed by the processor, the computer readable program code further causes the processor to: provide a request to the first communication terminal to use the parametric model to generate resenting speech in the first human language, wherein the signal representing speech in the first human language is received from the first communication terminal in response to the request to provide automatic capability negotiation between a language translation device and the first communication terminal. 19. The computer program product of claim 18 , wherein the signal representing speech in the first human language is more error resilient than a vocoded signal with respect to radio transmission.
| 0.595519 |
11. The computer-implemented method of claim 10 , wherein the method comprises, for the at least one misalignment, determining that said word, and said other word, match words of a predetermined set of words, and assigning a subscore to said at least one misalignment based on said predetermined set of words.
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11. The computer-implemented method of claim 10 , wherein the method comprises, for the at least one misalignment, determining that said word, and said other word, match words of a predetermined set of words, and assigning a subscore to said at least one misalignment based on said predetermined set of words. 15. The computer-implemented method of claim 11 , wherein said assigning a subscore to said at least one misalignment based on the predetermined set of words comprises assigning a negative subscore to said at least one misalignment.
| 0.945345 |
9. The system of claim 1 , wherein the operations further comprise executing an abuse management action in response to classifying the mobile message as being the abusive message.
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9. The system of claim 1 , wherein the operations further comprise executing an abuse management action in response to classifying the mobile message as being the abusive message. 10. The system of claim 9 , wherein the executing the abuse management action comprises discontinuing a messaging service associated with the first communication device.
| 0.970196 |
4. The user-interactive automatic translation device for a mobile device of claim 1 , wherein the automatic translation controller includes: a sentence recognition pre-process for recognizing the text string sentence by sentence; a source language morpheme analyzing and tagging unit for analyzing source language morphemes of the sentence-by-sentence recognized text string based on first automatic translation information stored in the automatic translation information DB, performing tagging on the result and restoring each of vocabularies included in the text string into original form thereof to apply parts of speech to the recovered text string; a source language structure analyzing unit for analyzing a grammatical correlation and a modification structure of vocabularies included in each sentence of the recovered text string based on second automatic translation information stored in the automatic translation information DB; a source language/target language converting unit for performing a source language-to-target language conversion on the analyzed text string based on third automatic translation information stored in the automatic translation information DB to convert vocabularies of source language to vocabularies of target language; and a target language generating unit for applying a grammar of target language to the structure-converted and vocabulary-converted text string to generate a translation.
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4. The user-interactive automatic translation device for a mobile device of claim 1 , wherein the automatic translation controller includes: a sentence recognition pre-process for recognizing the text string sentence by sentence; a source language morpheme analyzing and tagging unit for analyzing source language morphemes of the sentence-by-sentence recognized text string based on first automatic translation information stored in the automatic translation information DB, performing tagging on the result and restoring each of vocabularies included in the text string into original form thereof to apply parts of speech to the recovered text string; a source language structure analyzing unit for analyzing a grammatical correlation and a modification structure of vocabularies included in each sentence of the recovered text string based on second automatic translation information stored in the automatic translation information DB; a source language/target language converting unit for performing a source language-to-target language conversion on the analyzed text string based on third automatic translation information stored in the automatic translation information DB to convert vocabularies of source language to vocabularies of target language; and a target language generating unit for applying a grammar of target language to the structure-converted and vocabulary-converted text string to generate a translation. 7. The user-interactive automatic translation device for a mobile device of claim 4 , wherein the second automatic translation information includes a structure analysis rule and a translation pattern.
| 0.843558 |
22. A device, comprising: a display screen for displaying m-words of data; a text entry device for entering data; a processor receiving data from the text entry device and causing it to be displayed on the display screen; a nonvolatile memory storing a pre-defined x-gram dictionary containing a plurality of entries, where x≧2, each said x-gram dictionary entry including an index, a candidate word and a frequency; said processor selecting a list of n-number of candidate words from said dictionary whose index matches the a precursor, where n>1; said processor causing m-number of candidate words from said list of candidate words to be displayed on said display screen, where m>1; said processor causing the display to prompt the user to select one of the displayed candidate words or enter a desired word using said text entry device; upon initial activation of the device and before text is input into a text field of said text entry device, initializing the precursor to a predefined word, wherein the predefined word is selected from the x-gram dictionary from among the plurality of entries as the word associated with the highest order of frequency count, and after the user selects or enters a word, said processor setting the precursor to equal the word selected or entered by the user; said processor selecting a list of n-number of candidate words from said dictionary whose index matches the precursor, where n>1; whereby said precursor provides a context for predicting a next word to be entered into said text entry device.
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22. A device, comprising: a display screen for displaying m-words of data; a text entry device for entering data; a processor receiving data from the text entry device and causing it to be displayed on the display screen; a nonvolatile memory storing a pre-defined x-gram dictionary containing a plurality of entries, where x≧2, each said x-gram dictionary entry including an index, a candidate word and a frequency; said processor selecting a list of n-number of candidate words from said dictionary whose index matches the a precursor, where n>1; said processor causing m-number of candidate words from said list of candidate words to be displayed on said display screen, where m>1; said processor causing the display to prompt the user to select one of the displayed candidate words or enter a desired word using said text entry device; upon initial activation of the device and before text is input into a text field of said text entry device, initializing the precursor to a predefined word, wherein the predefined word is selected from the x-gram dictionary from among the plurality of entries as the word associated with the highest order of frequency count, and after the user selects or enters a word, said processor setting the precursor to equal the word selected or entered by the user; said processor selecting a list of n-number of candidate words from said dictionary whose index matches the precursor, where n>1; whereby said precursor provides a context for predicting a next word to be entered into said text entry device. 23. The device according to claim 22 , wherein: said precursor is initialized to one or two immediately preceding word(s).
| 0.679104 |
8. A data updating method for a terminal coupled to a server via a network, the terminal including a speech recognition system and holding map data including a landmark, the speech recognition system managing recognition data including a word corresponding to a name of the landmark included in the held map data, the data update method comprising the steps of: sending, by the terminal, update area information indicating an area of the map data to be updated, and update data on the area to be updated to the server; generating, by the server, in a case of which recognition data of the area indicated by the update area information sent from the terminal has been changed, after a time point indicated by the update data sent from the terminal, difference data between latest recognition data and recognition data corresponding to the area indicated by the update area information at a time indicated by the update data; sending, by the server, the generated difference data to the terminal along with map data on the area indicated by the update area information; updating, by the terminal, the map data held in the terminal based on the map data sent from the server; and updating, by the terminal, the managed recognition data based on the difference data sent from the server; wherein: the recognition data includes confusion information, the confusion information including a confusion word having a tendency to cause a recognition error with the word corresponding to a name of the landmark, and a confusion score which represents the tendency of the confusion word to cause recognition error; the server sends the difference data including the confusion information to the terminal; and the method further comprises the step of updating, by the terminal, the confusion information included in the recognition data held by the terminal based on the confusion information sent from the server.
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8. A data updating method for a terminal coupled to a server via a network, the terminal including a speech recognition system and holding map data including a landmark, the speech recognition system managing recognition data including a word corresponding to a name of the landmark included in the held map data, the data update method comprising the steps of: sending, by the terminal, update area information indicating an area of the map data to be updated, and update data on the area to be updated to the server; generating, by the server, in a case of which recognition data of the area indicated by the update area information sent from the terminal has been changed, after a time point indicated by the update data sent from the terminal, difference data between latest recognition data and recognition data corresponding to the area indicated by the update area information at a time indicated by the update data; sending, by the server, the generated difference data to the terminal along with map data on the area indicated by the update area information; updating, by the terminal, the map data held in the terminal based on the map data sent from the server; and updating, by the terminal, the managed recognition data based on the difference data sent from the server; wherein: the recognition data includes confusion information, the confusion information including a confusion word having a tendency to cause a recognition error with the word corresponding to a name of the landmark, and a confusion score which represents the tendency of the confusion word to cause recognition error; the server sends the difference data including the confusion information to the terminal; and the method further comprises the step of updating, by the terminal, the confusion information included in the recognition data held by the terminal based on the confusion information sent from the server. 10. The data updating method according to claim 8 , further comprising the steps of: referring to, by the terminal, the confusion information based on a recognition result of a speech uttered by a user; and correcting, by the terminal, the recognition results based on the referred confusion information.
| 0.542019 |
1. A network system that enables indexing of a user-accessible resource stored on a third-party server, the system comprising: a data storage device configured to store indexable metadata, and a processor in communication with the data storage device and configured to: determine access control information for the user-accessible resource stored on the third-party server, wherein the user-accessible resource access control information has different permissions than access control information for the network system; provide access to the user-accessible resource based on the user-accessible resource access control information; communicate the access control information to the third-party server; receive, from the third-party server, indexable metadata describing at least a portion of content of the user-accessible resource, wherein the content of the user-accessible resource is not searchable by a searching functionality of the processor; set a threshold amount of indexable metadata to be accepted from the third-party server; determine a received amount of indexable metadata from the third-party server; compare the threshold amount to the received amount of metadata; reject the indexable metadata if the received amount exceeds the threshold amount; process the received indexable metadata if the indexable metadata is accepted; and arrange the received indexable metadata on the data storage device in a manner that is searchable by the searching functionality of the processor.
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1. A network system that enables indexing of a user-accessible resource stored on a third-party server, the system comprising: a data storage device configured to store indexable metadata, and a processor in communication with the data storage device and configured to: determine access control information for the user-accessible resource stored on the third-party server, wherein the user-accessible resource access control information has different permissions than access control information for the network system; provide access to the user-accessible resource based on the user-accessible resource access control information; communicate the access control information to the third-party server; receive, from the third-party server, indexable metadata describing at least a portion of content of the user-accessible resource, wherein the content of the user-accessible resource is not searchable by a searching functionality of the processor; set a threshold amount of indexable metadata to be accepted from the third-party server; determine a received amount of indexable metadata from the third-party server; compare the threshold amount to the received amount of metadata; reject the indexable metadata if the received amount exceeds the threshold amount; process the received indexable metadata if the indexable metadata is accepted; and arrange the received indexable metadata on the data storage device in a manner that is searchable by the searching functionality of the processor. 5. The network system according to claim 1 , further comprising: a local data storage device configured to store data created by the network system, wherein the local data storage device is separate from the data storage device.
| 0.652184 |
13. A non-transitory machine-readable medium carrying instructions which, when executed by one or more processors, cause: generating a generic relevance function based on training data from a plurality of first users and that is not based on a specific context associated with any of the plurality of first users; storing the generic relevance function in a machine-readable storage medium; collecting context-specific training data, wherein the context-specific training data is based on a plurality of second users and a specific context associated with the plurality of second users; adapting the generic relevance function to produce a context-specific relevance function, wherein the adapting comprises using the generic relevance function and the context-specific training data as input to a machine learning technique to generate the context-specific relevance function; after producing the context-specific relevance function, receiving a query from a particular user; processing the query to identify results of the query; identifying a particular context of the query or of the particular user; selecting, based on the particular context, a particular context-specific relevance function from among the plurality of context-specific relevance functions; using the particular context-specific relevance function to determine relevance of each of the results only in response to determining that the particular context is the same as the specific context upon which the particular context-specific relevance function is based; based on the particular context-specific relevance function, assigning a relevance value to each of the results; and sending, to the particular user, at least a subset of the results to be displayed.
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13. A non-transitory machine-readable medium carrying instructions which, when executed by one or more processors, cause: generating a generic relevance function based on training data from a plurality of first users and that is not based on a specific context associated with any of the plurality of first users; storing the generic relevance function in a machine-readable storage medium; collecting context-specific training data, wherein the context-specific training data is based on a plurality of second users and a specific context associated with the plurality of second users; adapting the generic relevance function to produce a context-specific relevance function, wherein the adapting comprises using the generic relevance function and the context-specific training data as input to a machine learning technique to generate the context-specific relevance function; after producing the context-specific relevance function, receiving a query from a particular user; processing the query to identify results of the query; identifying a particular context of the query or of the particular user; selecting, based on the particular context, a particular context-specific relevance function from among the plurality of context-specific relevance functions; using the particular context-specific relevance function to determine relevance of each of the results only in response to determining that the particular context is the same as the specific context upon which the particular context-specific relevance function is based; based on the particular context-specific relevance function, assigning a relevance value to each of the results; and sending, to the particular user, at least a subset of the results to be displayed. 24. The machine-readable medium of claim 13 , wherein the generic relevance function comprises a Gaussian mixture model.
| 0.618028 |
13. A method implemented within a computer system that includes a processor and memory storing instructions which, when executed by the processor implement the method for responding to a query using a query evaluator that utilizes a data provider to virtualize data access to an object so that a subset of a plurality of properties of the object are accessible to the query evaluator without constructing the entire object, the method comprising: an act of a computer system that includes one or more processors receiving a property value access query, wherein the property value access query queries for a property value of a property identified in a previously received data construction statement that describes at least a portion of a syntax tree of an object having a plurality of properties, and wherein the value of at least one of the plurality of properties is determinable by execution of a query expression; an act of the computer system identifying a data provider created from the previously received data construction statement based on data contained in the property value access query, wherein the data provider virtualizes data access to the object and facilitates lazy evaluation of queries on the object by creating a partial construction of the object based on the data construction statement, wherein the partial construction of the object provides access to values of one or more properties of the object by executing one or more query expressions corresponding to the one or more properties without having to evaluate the entire data construction statement or fully construct the entire object; an act of the computer system placing the identified data provider in a known location associated with the query evaluator; an act of the computer system creating a data consumer for the property value access query; an act of the data consumer accessing the identified data provider from the known location; an act of the data consumer requesting the property value of the identified property from the data provider; an act of the data consumer receiving the property value of the identified property from the data provider; an act of the data consumer placing the received property value in the known location for further processing.
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13. A method implemented within a computer system that includes a processor and memory storing instructions which, when executed by the processor implement the method for responding to a query using a query evaluator that utilizes a data provider to virtualize data access to an object so that a subset of a plurality of properties of the object are accessible to the query evaluator without constructing the entire object, the method comprising: an act of a computer system that includes one or more processors receiving a property value access query, wherein the property value access query queries for a property value of a property identified in a previously received data construction statement that describes at least a portion of a syntax tree of an object having a plurality of properties, and wherein the value of at least one of the plurality of properties is determinable by execution of a query expression; an act of the computer system identifying a data provider created from the previously received data construction statement based on data contained in the property value access query, wherein the data provider virtualizes data access to the object and facilitates lazy evaluation of queries on the object by creating a partial construction of the object based on the data construction statement, wherein the partial construction of the object provides access to values of one or more properties of the object by executing one or more query expressions corresponding to the one or more properties without having to evaluate the entire data construction statement or fully construct the entire object; an act of the computer system placing the identified data provider in a known location associated with the query evaluator; an act of the computer system creating a data consumer for the property value access query; an act of the data consumer accessing the identified data provider from the known location; an act of the data consumer requesting the property value of the identified property from the data provider; an act of the data consumer receiving the property value of the identified property from the data provider; an act of the data consumer placing the received property value in the known location for further processing. 16. The method as recited in claim 13 , wherein the act of the data consumer receiving the property value of the identified property from the data provider comprises an act of the data consumer receiving a further data provider from the data provider, and wherein the further data provider virtualizes the property value from the data provider.
| 0.625428 |
9. At least one data processing system, comprising: a processor; and an accessible memory, the at least one data processing system configured to: receive metadata for a plurality of searchable objects, the metadata including at least one of an object type definition and object properties; define search filter rules based on user properties and data conditions; perform a search according to a rule-based configuration, the rule-based configuration including filters for object properties and filter ordering rules, the filter ordering rules specifying the order in which the filters are applied; and display search results according to the rule-based configuration.
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9. At least one data processing system, comprising: a processor; and an accessible memory, the at least one data processing system configured to: receive metadata for a plurality of searchable objects, the metadata including at least one of an object type definition and object properties; define search filter rules based on user properties and data conditions; perform a search according to a rule-based configuration, the rule-based configuration including filters for object properties and filter ordering rules, the filter ordering rules specifying the order in which the filters are applied; and display search results according to the rule-based configuration. 10. The data processing system of claim 9 , wherein the data processing system maintains property constants that define which objects are indexed in a search engine and which object properties can be searched.
| 0.701705 |
17. An information system, comprising: a content database to store context-sensitive content items; a content suggestion module implemented using a processor, the content suggestion module configured for selection of suggested content from the context-sensitive content in the content database, the context-sensitive content being relevant to attainment of an overall goal that is attempted by a human subject, wherein the overall goal is attained in connection with changes to human behavior by the human subject in a plurality of real-world activities, and wherein to select the suggested content, the content suggestion module is configured to: establish a filter and a weight for narrowing the selection of context-sensitive content using a condition relevant to the attainment of the overall goal, the condition provided from a profile of the human subject, wherein the profile tracks a behavior characteristic of the human subject affecting the attainment of the overall goal by the human subject; match the context-sensitive content to the human subject according to the condition, by applying the filter to exclude content from the context-sensitive content not satisfying the condition; and prioritize the context-sensitive content to the human subject according to the condition, by applying the weight to produce the selection of the suggested content from the context-sensitive content having a largest prioritization for the condition and having a relevance match to the profile of the human subject; and a content delivery module implemented using the processor, the content delivery module configured to electronically provide the selection of the suggested content based on timing, and modify content of the selection of the suggested content to increase relevance to the human subject; wherein the selection of the suggested content includes one or more suggested actions for performance by the human subject, the one or more suggested actions relevant to the attainment of the overall goal by the human subject.
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17. An information system, comprising: a content database to store context-sensitive content items; a content suggestion module implemented using a processor, the content suggestion module configured for selection of suggested content from the context-sensitive content in the content database, the context-sensitive content being relevant to attainment of an overall goal that is attempted by a human subject, wherein the overall goal is attained in connection with changes to human behavior by the human subject in a plurality of real-world activities, and wherein to select the suggested content, the content suggestion module is configured to: establish a filter and a weight for narrowing the selection of context-sensitive content using a condition relevant to the attainment of the overall goal, the condition provided from a profile of the human subject, wherein the profile tracks a behavior characteristic of the human subject affecting the attainment of the overall goal by the human subject; match the context-sensitive content to the human subject according to the condition, by applying the filter to exclude content from the context-sensitive content not satisfying the condition; and prioritize the context-sensitive content to the human subject according to the condition, by applying the weight to produce the selection of the suggested content from the context-sensitive content having a largest prioritization for the condition and having a relevance match to the profile of the human subject; and a content delivery module implemented using the processor, the content delivery module configured to electronically provide the selection of the suggested content based on timing, and modify content of the selection of the suggested content to increase relevance to the human subject; wherein the selection of the suggested content includes one or more suggested actions for performance by the human subject, the one or more suggested actions relevant to the attainment of the overall goal by the human subject. 23. The information system of claim 17 , further comprising: a monitoring module configured to monitor progress of the human subject toward at least one of: the overall goal, completion of a suggested action presented to the human subject from the suggested content, or completing a playlist of suggested actions presented to the human subject from the suggested content; wherein the monitoring module is further configured to monitor a response of the human subject to the suggested content.
| 0.585132 |
4. The method for controlling a printer in a networked environment utilizing printer usage statistics and document features according to claim 1 , further comprising: retrieving user specific information from the print server; and obtaining print settings information from at least one printer.
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4. The method for controlling a printer in a networked environment utilizing printer usage statistics and document features according to claim 1 , further comprising: retrieving user specific information from the print server; and obtaining print settings information from at least one printer. 6. The method for controlling a printer in a networked environment utilizing printer usage statistics and document features according to claim 4 , wherein said print settings information includes at least one member selected from the group consisting of printer information, printer location, printing quality, and estimated document printing cost.
| 0.890733 |
1. A method comprising: displaying, on a web browser interface of a client device, a first web page representing a first document, wherein the first document as displayed includes a transporter component, the transporter component comprising references to a plurality of additional documents; determining that a particular reference to one of the additional documents has been selected; in response to determining that the particular reference has been selected, requesting and receiving a second document from a server device, wherein the second document is associated with the particular reference; and displaying, on the web browser interface of the client device, a representation of the second document, wherein when the second document is associated with the first document by a continuous scrolling feature, the web browser interface displays a modified version of the first web page with the first document followed by the second document, and wherein when the second document is not associated with the first document by the continuous scrolling feature, the web browser interface displays a second web page including the second document but not including the first document.
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1. A method comprising: displaying, on a web browser interface of a client device, a first web page representing a first document, wherein the first document as displayed includes a transporter component, the transporter component comprising references to a plurality of additional documents; determining that a particular reference to one of the additional documents has been selected; in response to determining that the particular reference has been selected, requesting and receiving a second document from a server device, wherein the second document is associated with the particular reference; and displaying, on the web browser interface of the client device, a representation of the second document, wherein when the second document is associated with the first document by a continuous scrolling feature, the web browser interface displays a modified version of the first web page with the first document followed by the second document, and wherein when the second document is not associated with the first document by the continuous scrolling feature, the web browser interface displays a second web page including the second document but not including the first document. 8. The method of claim 1 , further comprising: while displaying the first document, displaying a first uniform resource locator (URL) associated with the first document; and while displaying the second document, displaying a second URL associated with the second document.
| 0.785296 |
1. A method for transliteration by a transliteration device including a receiver, a processor, and a display, the method comprising: receiving, by the receiver, a text input in a source language from a user; creating, by the processor, source language sub-phonetic units for each word in the text input; converting, by the processor, the source language sub-phonetic units for the each word in the text input to target language sub-phonetic units; retrieving, by the processor, ranking of each of the target language sub-phonetic units from a database; creating, by the processor, target language words based on the target language sub-phonetic units and the ranking of each of the target language sub-phonetic units; identifying, by the processor, candidate target language words by performing a reverse transliteration for the created target language words; and displaying, by the display, the candidate target language words to the user.
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1. A method for transliteration by a transliteration device including a receiver, a processor, and a display, the method comprising: receiving, by the receiver, a text input in a source language from a user; creating, by the processor, source language sub-phonetic units for each word in the text input; converting, by the processor, the source language sub-phonetic units for the each word in the text input to target language sub-phonetic units; retrieving, by the processor, ranking of each of the target language sub-phonetic units from a database; creating, by the processor, target language words based on the target language sub-phonetic units and the ranking of each of the target language sub-phonetic units; identifying, by the processor, candidate target language words by performing a reverse transliteration for the created target language words; and displaying, by the display, the candidate target language words to the user. 4. The method of claim 1 further comprising generating a correspondence between the each source language sub-phonetic unit and the each target language sub-phonetic unit.
| 0.631483 |
16. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising: receiving, by a computing device, audio data that corresponds to an utterance; determining that the utterance likely includes a particular, predefined hotword; in response to determining that the utterance likely includes the particular, predefined hotword, determining score that reflects a loudness of the audio data; determining a duration of a delay period, wherein the duration of the delay period is inversely proportional to the loudness of the audio data; activating a mode in which the computing device temporarily listens, for the duration of the delay period, for a predetermined audio signal that indicates that another computing device is commencing speech recognition processing on the audio data; after the duration of the delay period has elapsed without hearing the predetermined audio signal from another computing device, deactivating the mode and transmitting the predetermined audio signal that indicates that the computing device is commencing speech recognition processing on the audio data; and after transmitting the predetermined audio signal, processing at least a portion of the audio data using an automated speech recognizer on the computing device.
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16. A non-transitory computer-readable medium storing software comprising instructions executable by one or more computers which, upon such execution, cause the one or more computers to perform operations comprising: receiving, by a computing device, audio data that corresponds to an utterance; determining that the utterance likely includes a particular, predefined hotword; in response to determining that the utterance likely includes the particular, predefined hotword, determining score that reflects a loudness of the audio data; determining a duration of a delay period, wherein the duration of the delay period is inversely proportional to the loudness of the audio data; activating a mode in which the computing device temporarily listens, for the duration of the delay period, for a predetermined audio signal that indicates that another computing device is commencing speech recognition processing on the audio data; after the duration of the delay period has elapsed without hearing the predetermined audio signal from another computing device, deactivating the mode and transmitting the predetermined audio signal that indicates that the computing device is commencing speech recognition processing on the audio data; and after transmitting the predetermined audio signal, processing at least a portion of the audio data using an automated speech recognizer on the computing device. 19. The medium of claim 16 , wherein the duration of the delay period is zero when the score that reflects a loudness of the audio data satisfies a threshold.
| 0.893728 |
1. A system for generating a language-independent representation of a software project's structure from its source code comprises: one or more language analyzers, each comprising a language structurer system and a language inferencer system for a selected language, wherein said language structurer system generates a language-specific representation of code structure from the software project, and said language inferencer system augments the language-specific representation with additional, inferred information; one or more language translators in communication with said one or more language analyzers for mapping from language-specific components to language-independent components, wherein said language-independent components represent a source-to-source translation that maintains a semantic structure of the software project's source code such that each language-independent component corresponds to at least one of a function, a method, a package, a class, a type, a field, a variable declaration, a comment, an interface, a reference to the function, a reference to the method, a reference to the package, a reference to the class, a reference to the type, a reference to the field, and a reference to the variable declaration; and a database for storage of the language-independent components.
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1. A system for generating a language-independent representation of a software project's structure from its source code comprises: one or more language analyzers, each comprising a language structurer system and a language inferencer system for a selected language, wherein said language structurer system generates a language-specific representation of code structure from the software project, and said language inferencer system augments the language-specific representation with additional, inferred information; one or more language translators in communication with said one or more language analyzers for mapping from language-specific components to language-independent components, wherein said language-independent components represent a source-to-source translation that maintains a semantic structure of the software project's source code such that each language-independent component corresponds to at least one of a function, a method, a package, a class, a type, a field, a variable declaration, a comment, an interface, a reference to the function, a reference to the method, a reference to the package, a reference to the class, a reference to the type, a reference to the field, and a reference to the variable declaration; and a database for storage of the language-independent components. 6. The system of claim 1 , wherein said language inferencer system augments the language-specific representation with global information regarding the language-specific components of the software project.
| 0.535917 |
1. A method comprising: receiving a selection of a business intelligence report element of a first business intelligence report specification, the first business intelligence report specification in a first file format; creating a serialized description of the business intelligence report element in a second file format based on a business intelligence report element data model; receiving an instruction to add the business intelligence report element to a second business intelligence report specification, the second business intelligence report specification in a third file format; and adding the business intelligence report element to the second business intelligence report specification in the third file format based on the serialized description of the business intelligence report element.
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1. A method comprising: receiving a selection of a business intelligence report element of a first business intelligence report specification, the first business intelligence report specification in a first file format; creating a serialized description of the business intelligence report element in a second file format based on a business intelligence report element data model; receiving an instruction to add the business intelligence report element to a second business intelligence report specification, the second business intelligence report specification in a third file format; and adding the business intelligence report element to the second business intelligence report specification in the third file format based on the serialized description of the business intelligence report element. 5. A method according to claim 1 , wherein the business intelligence report element comprises a structure, a style and a semantic, and wherein adding the business intelligence report element to the second business intelligence report specification in the third file format comprises: determining whether to add the style only, the structure only, the style and structure only, or the style, structure and semantic of the business intelligence report element to the second business intelligence report specification; if it is determined to add the style only, creating the style in a style dictionary of the second business intelligence report specification; if it is determined to add the structure only, creating a template object based on the business intelligence report element; if it is determined to add the style and structure only, creating a template object based on the business intelligence report element, and creating the style in a style dictionary of the second business intelligence report specification; and if it is determined to add the style, structure and semantic, creating data sources in the second business intelligence report specification corresponding to one or more queries of the business intelligence report element, creating the one or more queries in the second business intelligence report specification based on a query definition of the serialized description, creating the business intelligence report element in the second business intelligence report specification, and creating the style in a style dictionary of the second business intelligence report specification.
| 0.575502 |
1. A method performed by one or more server devices, the method comprising: identifying, by a processor of the one or more server devices, a document relating to a search term, the document comprising structural elements; locating, by a processor of the one or more server devices, occurrences of the search term in the document; grouping, by a processor of the one or more server devices, the occurrences of the search term into at least one cluster, the grouping being based on relative locations of the occurrences of the search term, and the grouping favoring a cluster that lies within a particular structural element, of the structural elements, over a cluster that lies within multiple structural elements of the structural elements; identifying, by a processor of the one or more server devices, a structural element, of the structural elements, encompassing the at least one cluster; and providing, by a processor of the one or more server devices and for presentation, information associated with the identified structural element.
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1. A method performed by one or more server devices, the method comprising: identifying, by a processor of the one or more server devices, a document relating to a search term, the document comprising structural elements; locating, by a processor of the one or more server devices, occurrences of the search term in the document; grouping, by a processor of the one or more server devices, the occurrences of the search term into at least one cluster, the grouping being based on relative locations of the occurrences of the search term, and the grouping favoring a cluster that lies within a particular structural element, of the structural elements, over a cluster that lies within multiple structural elements of the structural elements; identifying, by a processor of the one or more server devices, a structural element, of the structural elements, encompassing the at least one cluster; and providing, by a processor of the one or more server devices and for presentation, information associated with the identified structural element. 15. The method of claim 1 , where the information associated with the identified structural element includes a portion of the document that does not include an occurrence of the search term.
| 0.738349 |
8. The computer system of claim 1 wherein the manufacturing data model further includes a navigation model that describes links between configured data items within the manufacturing data model.
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8. The computer system of claim 1 wherein the manufacturing data model further includes a navigation model that describes links between configured data items within the manufacturing data model. 9. The computer system of claim 8 wherein link descriptions specifying relationships between sub-data items of the named data item are included in the information response.
| 0.934362 |
1. A method of performing a database join, comprising: receiving a query specifying a join of a first table and a second table; determining a new predicate for the query based on a bit map, for a plurality of tuples of the join, between a first column of the first table, and a second column of the second table; and modifying the query such that the query comprises the new predicate; generating the bit map, wherein generating the bit map comprises: determining a plurality of potential value pairs between the first column and the second column; determining a plurality of actual value pairs in a plurality of tuples resulting from the join query; and setting a bit in the bit map to 1 for each of the plurality of actual value pairs.
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1. A method of performing a database join, comprising: receiving a query specifying a join of a first table and a second table; determining a new predicate for the query based on a bit map, for a plurality of tuples of the join, between a first column of the first table, and a second column of the second table; and modifying the query such that the query comprises the new predicate; generating the bit map, wherein generating the bit map comprises: determining a plurality of potential value pairs between the first column and the second column; determining a plurality of actual value pairs in a plurality of tuples resulting from the join query; and setting a bit in the bit map to 1 for each of the plurality of actual value pairs. 5. The method recited in claim 1 , comprising compressing the mapping.
| 0.902473 |
5. The method of claim 4 , wherein analyzing the first window of digital sampling includes analyzing the first window to the point of the last sample determined to be included within the first window.
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5. The method of claim 4 , wherein analyzing the first window of digital sampling includes analyzing the first window to the point of the last sample determined to be included within the first window. 6. The method of claim 5 , further comprising: analyzing, by the word counting device, the second window beginning at the point of the first sample determined to be included within the second window.
| 0.910694 |
11. The method of claim 1 , wherein the object represents one of an actor, a dancer, a marching band participant, or a combination thereof and wherein the text is one of a play, a television show, a movie, a musical, musical score, or a combination thereof, and the method further comprising: associating a sequential series of identification numbers with a sequential series of lines of the text; determining a set of one or more characters associated with at least a subset of the sequential series of lines of the text; and displaying at least one character in the set of one or more characters with at least the subset sequential series of numbers to enable a user to identify one or characters that may be played by one person.
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11. The method of claim 1 , wherein the object represents one of an actor, a dancer, a marching band participant, or a combination thereof and wherein the text is one of a play, a television show, a movie, a musical, musical score, or a combination thereof, and the method further comprising: associating a sequential series of identification numbers with a sequential series of lines of the text; determining a set of one or more characters associated with at least a subset of the sequential series of lines of the text; and displaying at least one character in the set of one or more characters with at least the subset sequential series of numbers to enable a user to identify one or characters that may be played by one person. 14. The information processing system of claim 11 , wherein the object represents a prop.
| 0.912721 |
7. A method of transferring interface documents for a web service comprising a service document and one or more reference definition documents, the method comprising: parsing the service document to extract the location of the reference definition documents; moving the service document to a temporary storage location; moving the reference definition documents to the temporary storage location; for each document that references one of the reference definition documents, modifying its location value to the temporary storage location; changing a name of at least one of the reference definition documents when two or more of the reference definition documents have a same name; and moving all of the reference definition documents to the new storage location to form an integrated file; wherein for each interface document, the service document and the reference definition documents are each stored in different file locations, and each interface document comprises a Web Services Description Language (WSDL) document or a Web Application Description Language (WADL) document; wherein after the moving all of the reference definition documents, the service document and the reference definition documents are each stored in a same file location.
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7. A method of transferring interface documents for a web service comprising a service document and one or more reference definition documents, the method comprising: parsing the service document to extract the location of the reference definition documents; moving the service document to a temporary storage location; moving the reference definition documents to the temporary storage location; for each document that references one of the reference definition documents, modifying its location value to the temporary storage location; changing a name of at least one of the reference definition documents when two or more of the reference definition documents have a same name; and moving all of the reference definition documents to the new storage location to form an integrated file; wherein for each interface document, the service document and the reference definition documents are each stored in different file locations, and each interface document comprises a Web Services Description Language (WSDL) document or a Web Application Description Language (WADL) document; wherein after the moving all of the reference definition documents, the service document and the reference definition documents are each stored in a same file location. 11. The method of claim 7 , wherein the reference definition documents comprise Extensible Markup Language Schema Definition (XSD) documents.
| 0.611709 |
8. A non-transitory computer readable medium storing a computer program which when executed by at least one processor selects content in a document created from a template comprising a set of template pages preconfigured with fields and placeholder content, the computer program comprising sets of instructions for: displaying a page of the document based on one of the preconfigured template pages of the template used to create the document, said page comprising a field storing template-based placeholder content or storing user-generated content, wherein the preconfigured template pages are initially populated with the placeholder content that is replaceable with the user-generated content; receiving, at the document, a selection of a portion of the content, wherein the selection is based on a click operation within the field of either the placeholder content or user-generated content; and in response to receiving, at the document, the selection: determining whether the field contains the placeholder content or the user-generated content; when the field contains the placeholder content: automatically selecting within the field all of the placeholder content of the field when the selection comprises clicking on the placeholder content of the field; and when the field contains the user-generated content: selecting within the field only the portion of the user-generated content of the field.
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8. A non-transitory computer readable medium storing a computer program which when executed by at least one processor selects content in a document created from a template comprising a set of template pages preconfigured with fields and placeholder content, the computer program comprising sets of instructions for: displaying a page of the document based on one of the preconfigured template pages of the template used to create the document, said page comprising a field storing template-based placeholder content or storing user-generated content, wherein the preconfigured template pages are initially populated with the placeholder content that is replaceable with the user-generated content; receiving, at the document, a selection of a portion of the content, wherein the selection is based on a click operation within the field of either the placeholder content or user-generated content; and in response to receiving, at the document, the selection: determining whether the field contains the placeholder content or the user-generated content; when the field contains the placeholder content: automatically selecting within the field all of the placeholder content of the field when the selection comprises clicking on the placeholder content of the field; and when the field contains the user-generated content: selecting within the field only the portion of the user-generated content of the field. 15. The non-transitory computer readable medium of claim 8 , wherein the template-based placeholder content of the field is default text content.
| 0.626976 |
1. A computer system comprising the following: one or more processors; one or more computer-readable storage media having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computing system to execute a method for processing a query using schema graph traversal, the method comprising the following: an act of receiving a query at the computer system from a query sender, the query specifying one or more relational tables and their relationships that are to be retrieved from a relational database; an act of creating a schema graph comprising one or more graph nodes representing relational tables and one or more edges that identify relationships between the relational tables, the graph nodes including relational data that was loaded from a first storage area, the schema graph itself being stored in a second storage area, wherein the creating the schema graph includes at least the following: accessing a plurality of relational tables; generating a plurality of graph nodes, with a separate graph node for each of the plurality of relational tables represented by the schema graph; generating a plurality of edges between different graph nodes that define the relationships between the relational tables, at least a first edge of the plurality of edges and a second edge of the plurality of edges define different relationship attributes, such that nodes connected by the first edge have at least one of a different type or a different quantity of relationships than different nodes that are connected by the second edge; and visually representing the schema graph with the plurality of nodes and the plurality of edges, wherein the first and second edges are represented as separate lines with different display attributes, the different display attributes corresponding to different relationship attributes between different nodes; an act of traversing the schema graph, beginning at a set of graph nodes and continuing along the edges to one or more other graph nodes until the query has been satisfied; and an act of reporting the results of the graph traversal.
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1. A computer system comprising the following: one or more processors; one or more computer-readable storage media having stored thereon computer-executable instructions that, when executed by the one or more processors, cause the computing system to execute a method for processing a query using schema graph traversal, the method comprising the following: an act of receiving a query at the computer system from a query sender, the query specifying one or more relational tables and their relationships that are to be retrieved from a relational database; an act of creating a schema graph comprising one or more graph nodes representing relational tables and one or more edges that identify relationships between the relational tables, the graph nodes including relational data that was loaded from a first storage area, the schema graph itself being stored in a second storage area, wherein the creating the schema graph includes at least the following: accessing a plurality of relational tables; generating a plurality of graph nodes, with a separate graph node for each of the plurality of relational tables represented by the schema graph; generating a plurality of edges between different graph nodes that define the relationships between the relational tables, at least a first edge of the plurality of edges and a second edge of the plurality of edges define different relationship attributes, such that nodes connected by the first edge have at least one of a different type or a different quantity of relationships than different nodes that are connected by the second edge; and visually representing the schema graph with the plurality of nodes and the plurality of edges, wherein the first and second edges are represented as separate lines with different display attributes, the different display attributes corresponding to different relationship attributes between different nodes; an act of traversing the schema graph, beginning at a set of graph nodes and continuing along the edges to one or more other graph nodes until the query has been satisfied; and an act of reporting the results of the graph traversal. 6. The computer system of claim 1 , wherein a user specifies one or more columns from at least one database table that are to be added to the schema graph.
| 0.51808 |
23. A system for synthesizing speech from a text comprising: a server in communication via a network, with a browser on a client computer of a user; a text-to-speech (TTS) application, in communication with the client computer of the user, operable to generate a voice font based on speech waveforms, wherein the user creates a personalized speech audio data on the client computer, and the personalized speech audio data is encoded into one or more waveforms at the client computer, wherein the waveforms are transmitted from the client computer remotely accessing a voice font generator of the TTS application via the network, wherein generating the voice font after the waveforms are transmitted comprises: associating the waveforms transmitted to the voice font generator with corresponding basic phonetic units, wherein the plurality of predetermined utterances is parsed into one or more basic phonetic units comprising at least one of phonemes, diphones, semi-syllables, or syllables, identifying the one or more basic phonetic units based on corresponding characteristics of a basic phonetic unit, and associating the one or more basic phonetic units with corresponding segments of the waveforms in a data structure, wherein the data structure comprises a table having one column correspond to one or more identifiers of the one or more basic phonetic units, and having another column correspond to the segments of the waveforms, wherein each identifier corresponds to one or more segments of the waveforms in the table; a text to speech engine to concatenate a personalized voice font into a chain according to an order of the basic phonetic units in the text, the basic phonetic units are parsed into phonemes, diphones, semi-syllables, or syllables and identified by an associated diphone, a triphone, a semi-syllable, or a syllable that is associated with a corresponding segment in a waveform; the text to speech engine to download concatenated speech segments to the client computer; and a TTS web service having a user interface, wherein the user interface is a function selector, a voice font selector and other services configured to allow a user to remotely perform text-to-speech through the network.
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23. A system for synthesizing speech from a text comprising: a server in communication via a network, with a browser on a client computer of a user; a text-to-speech (TTS) application, in communication with the client computer of the user, operable to generate a voice font based on speech waveforms, wherein the user creates a personalized speech audio data on the client computer, and the personalized speech audio data is encoded into one or more waveforms at the client computer, wherein the waveforms are transmitted from the client computer remotely accessing a voice font generator of the TTS application via the network, wherein generating the voice font after the waveforms are transmitted comprises: associating the waveforms transmitted to the voice font generator with corresponding basic phonetic units, wherein the plurality of predetermined utterances is parsed into one or more basic phonetic units comprising at least one of phonemes, diphones, semi-syllables, or syllables, identifying the one or more basic phonetic units based on corresponding characteristics of a basic phonetic unit, and associating the one or more basic phonetic units with corresponding segments of the waveforms in a data structure, wherein the data structure comprises a table having one column correspond to one or more identifiers of the one or more basic phonetic units, and having another column correspond to the segments of the waveforms, wherein each identifier corresponds to one or more segments of the waveforms in the table; a text to speech engine to concatenate a personalized voice font into a chain according to an order of the basic phonetic units in the text, the basic phonetic units are parsed into phonemes, diphones, semi-syllables, or syllables and identified by an associated diphone, a triphone, a semi-syllable, or a syllable that is associated with a corresponding segment in a waveform; the text to speech engine to download concatenated speech segments to the client computer; and a TTS web service having a user interface, wherein the user interface is a function selector, a voice font selector and other services configured to allow a user to remotely perform text-to-speech through the network. 28. A system as recited in claim 23 wherein the TTS application comprises a TTS engine, the TTS engine including a speech synthesizer operable to convert specified text to speech in a voice corresponding to the generated voice font.
| 0.895045 |
1. A method of receiving input into a vehicle from a user, said method comprising the steps of: providing a surface within reach of a hand of the user; sensing a plurality of locations on the surface that are touched by the user; determining an alphanumeric character having a shape most similar to the plurality of touched locations on the surface; transmitting an input to an electronic system of the vehicle, the input being dependent upon the determined alphanumeric character; informing the user of the alphanumeric character and/or a word in which the alphanumeric character is included; and receiving feedback from the user regarding whether the alphanumeric character and/or word is an alphanumeric character and/or word that the user intended to be determined in the determining step, wherein the sensing and determining steps are repeated until a word formed by the alphanumeric characters is identified, the informing step comprising audibly or visually informing the user of the identified word.
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1. A method of receiving input into a vehicle from a user, said method comprising the steps of: providing a surface within reach of a hand of the user; sensing a plurality of locations on the surface that are touched by the user; determining an alphanumeric character having a shape most similar to the plurality of touched locations on the surface; transmitting an input to an electronic system of the vehicle, the input being dependent upon the determined alphanumeric character; informing the user of the alphanumeric character and/or a word in which the alphanumeric character is included; and receiving feedback from the user regarding whether the alphanumeric character and/or word is an alphanumeric character and/or word that the user intended to be determined in the determining step, wherein the sensing and determining steps are repeated until a word formed by the alphanumeric characters is identified, the informing step comprising audibly or visually informing the user of the identified word. 3. The method of claim 1 comprising the further step, in response to receiving feedback from the user that the alphanumeric character or word is correct, of transmitting a second input to an electronic system, the second input being dependent upon the alphanumeric character or word.
| 0.5808 |
19. A non-transitory computer readable medium operating with system hardware for dynamically integrating a business logic rule into an application, the non-transitory computer readable medium including program instructions for performing the steps of: stating the business logic rule as an expression in a functional language; parsing the expression directly into an executable routine by associating with the expression one or more functions and defined operators that correspond to one or more pre-coded subroutines and associating values with the one or more functions by calling the functions and parameters in the expression with associated values passed in; and calling, by the application, the executable routine.
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19. A non-transitory computer readable medium operating with system hardware for dynamically integrating a business logic rule into an application, the non-transitory computer readable medium including program instructions for performing the steps of: stating the business logic rule as an expression in a functional language; parsing the expression directly into an executable routine by associating with the expression one or more functions and defined operators that correspond to one or more pre-coded subroutines and associating values with the one or more functions by calling the functions and parameters in the expression with associated values passed in; and calling, by the application, the executable routine. 22. The non-transitory computer readable medium of claim 19 wherein the computer readable medium comprises further instructions for, in response to re-defining one or more parameters, revising fields and subfields of the associated database.
| 0.602251 |
8. The method as set forth in claim 1 wherein the correlating and matching comprises assigning to each literary element one or more attributes selected from the group consisting of level of importance within the segment, level of prevalence within the segment, number of parties in a relationship to which the literary element pertains in the segment, and number of plot devices in the segment to which the literary element pertains.
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8. The method as set forth in claim 1 wherein the correlating and matching comprises assigning to each literary element one or more attributes selected from the group consisting of level of importance within the segment, level of prevalence within the segment, number of parties in a relationship to which the literary element pertains in the segment, and number of plot devices in the segment to which the literary element pertains. 11. The method as set forth in claim 8 wherein the correlating and matching further comprises calculating an overall weight for a literary element within the entire digital work of literature by applying a mathematical weighting function to the one or more attributes.
| 0.868394 |
1. A method of providing voicemail to a mobile telephone, in which a caller initiates a voice call to the mobile telephone, but that call is diverted to a voicemail server, with the caller then leaving a voice message on the voicemail server, the method comprising the steps of: when a recording time of the voice message exceeds a maximum time, sending a standard notification to the mobile telephone indicating that an end-user of the mobile telephone has a new voicemail to listen to; when the recording time of the voice message is less than a maximum time: converting the voice message to an audio file format; sending or streaming the audio file to a voice to text transcription system comprising at least one computer adapted to play back the voice message to an operator to enable the operator to transcribe the voice message into the computer to generate a transcribed text message; including a unique identification in the transcribed text message that links the text message to the voice message held at the voicemail server; sending the transcribed text message to the mobile phone; and providing the voice message held at the server to the mobile telephone when the end-user of the mobile telephone selects or uses the unique identification.
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1. A method of providing voicemail to a mobile telephone, in which a caller initiates a voice call to the mobile telephone, but that call is diverted to a voicemail server, with the caller then leaving a voice message on the voicemail server, the method comprising the steps of: when a recording time of the voice message exceeds a maximum time, sending a standard notification to the mobile telephone indicating that an end-user of the mobile telephone has a new voicemail to listen to; when the recording time of the voice message is less than a maximum time: converting the voice message to an audio file format; sending or streaming the audio file to a voice to text transcription system comprising at least one computer adapted to play back the voice message to an operator to enable the operator to transcribe the voice message into the computer to generate a transcribed text message; including a unique identification in the transcribed text message that links the text message to the voice message held at the voicemail server; sending the transcribed text message to the mobile phone; and providing the voice message held at the server to the mobile telephone when the end-user of the mobile telephone selects or uses the unique identification. 5. The method of claim 1 in which the transcription system does not display to the operator the telephone number associated with the mobile telephone.
| 0.544551 |
1. A method for register-transfer level (RTL) design checking for exploring simulation mismatches, synthesis mismatches, or ambiguous language semantics associated with generating a derived design from RTL design code, the method comprising: providing the RTL design code, to at least one processor, to generate an internal representation for verification of an electronic circuit design; comparing, by a design match engine, the RTL design code with design violation patterns contained in a design violation pattern database, wherein the design violation patterns identify violations relating to the simulation mismatches, synthesis mismatches, or ambiguous language semantics associated with generating the derived design that are otherwise undetected during equivalence checking between the derived design and the RTL design code; assigning a rule object to a design pattern in the RTL design code, by the at least one processor, when the design match engine determines that the design pattern in the RTL design code matches one of the design violation patterns in the design violation pattern database; and generating, with the at least one processor, a violation report comprising the rule objects and their corresponding design violation patterns.
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1. A method for register-transfer level (RTL) design checking for exploring simulation mismatches, synthesis mismatches, or ambiguous language semantics associated with generating a derived design from RTL design code, the method comprising: providing the RTL design code, to at least one processor, to generate an internal representation for verification of an electronic circuit design; comparing, by a design match engine, the RTL design code with design violation patterns contained in a design violation pattern database, wherein the design violation patterns identify violations relating to the simulation mismatches, synthesis mismatches, or ambiguous language semantics associated with generating the derived design that are otherwise undetected during equivalence checking between the derived design and the RTL design code; assigning a rule object to a design pattern in the RTL design code, by the at least one processor, when the design match engine determines that the design pattern in the RTL design code matches one of the design violation patterns in the design violation pattern database; and generating, with the at least one processor, a violation report comprising the rule objects and their corresponding design violation patterns. 11. The method of claim 1 , wherein the method further comprises, selecting at least one of a hi-lighted unit and a hi-lighted connection corresponding to one of the rule objects in a design schematic, and graphically displaying on a display the corresponding rule object in the violation report.
| 0.600227 |
1. A system for increasing the utility of a communication between communicating parties, the system comprising: a reliability analyzer that predicts reliability of communication channels, the reliability analyzer including a reliability predictor that generates a probability that a communication will be completed with predetermined desired transmission qualities and a reliability prediction integrator that updates one or more pieces of information that are employed in selecting a communication channel for communication and updates an expected utility that is computed without regard to reliability; and a channel manager that selects the communication channel based on analyzing extrinsic data in association with the communication channel maximizing utility of communication between the communicating parties as a function of the reliability prediction.
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1. A system for increasing the utility of a communication between communicating parties, the system comprising: a reliability analyzer that predicts reliability of communication channels, the reliability analyzer including a reliability predictor that generates a probability that a communication will be completed with predetermined desired transmission qualities and a reliability prediction integrator that updates one or more pieces of information that are employed in selecting a communication channel for communication and updates an expected utility that is computed without regard to reliability; and a channel manager that selects the communication channel based on analyzing extrinsic data in association with the communication channel maximizing utility of communication between the communicating parties as a function of the reliability prediction. 13. The system of claim 1 , wherein the utility is further based upon preferences of one or more of the communicating parties.
| 0.636481 |
3. A document layout system comprising: a computer embodying: a candidate layout generator that constructs a plurality of candidate layouts for selected content; a layout quality tagger that tags the candidate layouts with overall layout quality criterion values using an overall layout quality criterion combining a set of component quality criteria as a weighted linear combination of kernels, each kernel corresponding to an inner product comparing component quality criteria values of a training layout with corresponding component quality criteria values of an input layout, the kernels corresponding to inner products between a first vector φ(x k ) and a second vector φ(x) where x k denotes a vector representing the component quality criteria values for training layout k, x denotes a vector representing the component quality criteria values for the input layout, and φ denotes a non-linear vector transform; and a layout selector that selects a layout for the selected content from amongst the candidate layouts based on the tagged overall layout quality criterion values.
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3. A document layout system comprising: a computer embodying: a candidate layout generator that constructs a plurality of candidate layouts for selected content; a layout quality tagger that tags the candidate layouts with overall layout quality criterion values using an overall layout quality criterion combining a set of component quality criteria as a weighted linear combination of kernels, each kernel corresponding to an inner product comparing component quality criteria values of a training layout with corresponding component quality criteria values of an input layout, the kernels corresponding to inner products between a first vector φ(x k ) and a second vector φ(x) where x k denotes a vector representing the component quality criteria values for training layout k, x denotes a vector representing the component quality criteria values for the input layout, and φ denotes a non-linear vector transform; and a layout selector that selects a layout for the selected content from amongst the candidate layouts based on the tagged overall layout quality criterion values. 7. The document layout system as set forth in claim 3 , wherein the candidate layout generator comprises: a user interface by which an associated user constructs candidate layouts.
| 0.876565 |
10. The one or more computer memory of claim 7 wherein comparing the testable code sequence comprises executing instructions for weak second-order pattern matching.
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10. The one or more computer memory of claim 7 wherein comparing the testable code sequence comprises executing instructions for weak second-order pattern matching. 11. The one or more computer memory of claim 10 wherein comparing the testable code sequence further comprises executing a set-bound instruction.
| 0.959983 |
133. The system of claim 132 , wherein the gesture notation represents a gesture vocabulary, and the gesture signal comprises communications of the gesture vocabulary.
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133. The system of claim 132 , wherein the gesture notation represents a gesture vocabulary, and the gesture signal comprises communications of the gesture vocabulary. 135. The system of claim 133 , wherein the gesture vocabulary represents in textual form an orientation of kinematic linkages of the body.
| 0.906977 |
1. One or more non-transitory computer-readable media, comprising: one or more instructions that, when executed by a processor of a device, cause the processor to: select a location in a model having executable semantics, the selected location having one or more dependencies with one or more other locations in the model; detect at least one complexity in the model, the at least one complexity affecting the selected location, and interfering with a verification of the model; identify a source for the at least one complexity, the source located at one of the one or more other locations; and eliminate or reduce the source for the at least one complexity, thereby allowing successful verification of the model.
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1. One or more non-transitory computer-readable media, comprising: one or more instructions that, when executed by a processor of a device, cause the processor to: select a location in a model having executable semantics, the selected location having one or more dependencies with one or more other locations in the model; detect at least one complexity in the model, the at least one complexity affecting the selected location, and interfering with a verification of the model; identify a source for the at least one complexity, the source located at one of the one or more other locations; and eliminate or reduce the source for the at least one complexity, thereby allowing successful verification of the model. 2. The one or more non-transitory computer-readable media of claim 1 further comprising: one or more further instructions that, when executed by the processor, cause the processor to: receive information from a user; and utilize the received information to identify the source for the at least one complexity.
| 0.628903 |
8. A system for scalable user intent mining, comprising at least one processor, at least one memory, and at least one program stored in the memory and to be executed by the at least one processor, wherein the at least one processor executes the at least one program to: detect named entities from a plurality of query logs in a public query log dataset; generate corresponding features of the plurality of query logs based on the detected named entities; apply a multimodal restricted boltzmann machine (RBM) on the generated features of the plurality of query logs in the public query log dataset to generate a plurality of public query representations; apply the multimodal RBM on a plurality of history queries of the user to train a personalized multimodal RBM; and predict user intent using one of the public multimodal RBM and the personalized multimodal RBM, so that an accuracy of predicting the user intent is improved by using the personalized multimodal RBM.
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8. A system for scalable user intent mining, comprising at least one processor, at least one memory, and at least one program stored in the memory and to be executed by the at least one processor, wherein the at least one processor executes the at least one program to: detect named entities from a plurality of query logs in a public query log dataset; generate corresponding features of the plurality of query logs based on the detected named entities; apply a multimodal restricted boltzmann machine (RBM) on the generated features of the plurality of query logs in the public query log dataset to generate a plurality of public query representations; apply the multimodal RBM on a plurality of history queries of the user to train a personalized multimodal RBM; and predict user intent using one of the public multimodal RBM and the personalized multimodal RBM, so that an accuracy of predicting the user intent is improved by using the personalized multimodal RBM. 10. The system according to claim 8 , wherein applying the multimodal RBM on a plurality of history queries of the user to train a personalized multimodal RBM further includes: detecting named entities from the plurality of history queries of the user; generating corresponding features of the plurality of history queries of the user based on the detected named entities; generating personal query representations of the plurality of history queries of the user using the public multimodal RBM learned from the public query log dataset; and training the personalized multimodal RBM using a plurality of queries for personality learning, wherein the plurality of queries for personality learning include a plurality of queries from one or more relevant users and the plurality of history queries.
| 0.579205 |
7. The method as claimed in claim 1 , further comprising: combining one or more characters identified through the character-recognition-processing of the image obtained in the preview mode and having a predetermined maximum number of characters as a first word; searching a dictionary database that stores dictionary information on various languages using the first word; and outputting a word corresponding to the first word in at least one of the various languages according to a result of the search of the dictionary database using the first word.
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7. The method as claimed in claim 1 , further comprising: combining one or more characters identified through the character-recognition-processing of the image obtained in the preview mode and having a predetermined maximum number of characters as a first word; searching a dictionary database that stores dictionary information on various languages using the first word; and outputting a word corresponding to the first word in at least one of the various languages according to a result of the search of the dictionary database using the first word. 8. The method as claimed in claim 7 , further comprising excluding characters from the first word one by one; identifying new words from characters remaining in the first word after excluding characters from the first word; searching the dictionary database using the respective new words; and outputting words corresponding to the respective new words according to a result of the search of the dictionary database using the respective new words.
| 0.617446 |
1. A method, executed by a computer system, of forming a unified classifier for a category, the method comprising: storing a taxonomy of categories, the categories for labeling videos; accessing a video repository; retrieving from the video repository a training set of videos for a category from the taxonomy of categories, the training set comprising a positive training set of videos labeled with the category, and a negative training set of videos not labeled with the category; forming a plurality of positive bags, each positive bag comprising a plurality of the videos from the positive training set; forming a plurality of negative bags, each negative bag comprising a plurality of the videos from the negative training set; applying a boosting algorithm to obtain a plurality of sets of weights, wherein each set of weights comprises one weight for each bag, the weight for each bag based on a weight of each video in the plurality of videos in the bag; training a unified classifier, wherein training the unified classifier is based at least in part on the plurality of positive bags, the plurality of negative bags, and the plurality of sets of weights; and storing the unified classifier.
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1. A method, executed by a computer system, of forming a unified classifier for a category, the method comprising: storing a taxonomy of categories, the categories for labeling videos; accessing a video repository; retrieving from the video repository a training set of videos for a category from the taxonomy of categories, the training set comprising a positive training set of videos labeled with the category, and a negative training set of videos not labeled with the category; forming a plurality of positive bags, each positive bag comprising a plurality of the videos from the positive training set; forming a plurality of negative bags, each negative bag comprising a plurality of the videos from the negative training set; applying a boosting algorithm to obtain a plurality of sets of weights, wherein each set of weights comprises one weight for each bag, the weight for each bag based on a weight of each video in the plurality of videos in the bag; training a unified classifier, wherein training the unified classifier is based at least in part on the plurality of positive bags, the plurality of negative bags, and the plurality of sets of weights; and storing the unified classifier. 2. The method of claim 1 , wherein the videos of the positive training set include false positives and true positives with respect to the labeled category, and each of the positive bags comprises at least one true positive video and at least one false positive video.
| 0.597475 |
1. A computing system comprising: one or more processors; one or more non-transitory computer-readable data storage devices; program instructions, stored on at least one of the one or more computer-readable tangible data storage devices, to receive one or more inputs identifying one or more application model subsets of an application model; program instructions, stored on at least one of the one or more computer-readable tangible data storage devices, to receive one or more inputs identifying one or more audiences; program instructions, stored on at least one of the one or more computer-readable tangible data storage devices, to receive, for at least one respective audience from the one or more audiences, at least one input associating one or more respective application model subsets from the one or more application model subsets with the at least one respective audience; program instructions, stored on at least one of the one or more computer-readable tangible data storage devices, to receive one or more inputs identifying each of one or more semantic constructs of the application model with at least one of the application model subsets, including the one or more respective application model subsets; program instructions, stored on at least one of the one or more computer-readable tangible data storage devices, to generate one or more application model documentation topics from the application model for the one or more semantic constructs identified with the one or more respective application model subsets associated with the at least one respective audience; program instructions, stored on at least one of the one or more computer-readable tangible data storage devices, to generate one or more application model build artifacts based on one or more of the respective application model subsets associated with the one or more semantic constructs identified with the one or more respective application model subsets; and program instructions, stored on at least one of the one or more computer-readable tangible data storage devices, to generate one or more application model documentation artifacts based on one or more of the application model documentation topics applicable to the one or more application model build artifacts.
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1. A computing system comprising: one or more processors; one or more non-transitory computer-readable data storage devices; program instructions, stored on at least one of the one or more computer-readable tangible data storage devices, to receive one or more inputs identifying one or more application model subsets of an application model; program instructions, stored on at least one of the one or more computer-readable tangible data storage devices, to receive one or more inputs identifying one or more audiences; program instructions, stored on at least one of the one or more computer-readable tangible data storage devices, to receive, for at least one respective audience from the one or more audiences, at least one input associating one or more respective application model subsets from the one or more application model subsets with the at least one respective audience; program instructions, stored on at least one of the one or more computer-readable tangible data storage devices, to receive one or more inputs identifying each of one or more semantic constructs of the application model with at least one of the application model subsets, including the one or more respective application model subsets; program instructions, stored on at least one of the one or more computer-readable tangible data storage devices, to generate one or more application model documentation topics from the application model for the one or more semantic constructs identified with the one or more respective application model subsets associated with the at least one respective audience; program instructions, stored on at least one of the one or more computer-readable tangible data storage devices, to generate one or more application model build artifacts based on one or more of the respective application model subsets associated with the one or more semantic constructs identified with the one or more respective application model subsets; and program instructions, stored on at least one of the one or more computer-readable tangible data storage devices, to generate one or more application model documentation artifacts based on one or more of the application model documentation topics applicable to the one or more application model build artifacts. 11. The computing system of claim 1 , further comprising program instructions, stored on at least one of the one or more computer-readable tangible data storage devices, to generate topics for semantic constructs for application model documentation for the one or more application model build artifacts, wherein generating the topics comprises: determining application model subsets that contain a respective semantic construct; determining audiences associated with the application model subsets determined to contain the respective semantic construct; generating a topic for each of the audiences containing content related to a union of subsets associated with the audience; and merging topics containing identical content.
| 0.5 |
1. A method of processing a flow description document, the method comprising steps of: extracting, from a first flow description document, a first description which specifies services to be invoked by the first flow description document, and extracting, from a second flow description document, a second description which specifies services to be invoked by the second flow description document; detecting a common part between the first description of the first flow description document and the second description of the second flow description document, wherein services specified by the first description extracted from the first flow description document include one or more services among services specified by the second description extracted from the second flow description document; and rewriting the common part in the second flow description document into a reference to the common part in the first flow description document, wherein the reference includes identification information of the first flow description document, and information which specifies a start tag and end tag of the common part.
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1. A method of processing a flow description document, the method comprising steps of: extracting, from a first flow description document, a first description which specifies services to be invoked by the first flow description document, and extracting, from a second flow description document, a second description which specifies services to be invoked by the second flow description document; detecting a common part between the first description of the first flow description document and the second description of the second flow description document, wherein services specified by the first description extracted from the first flow description document include one or more services among services specified by the second description extracted from the second flow description document; and rewriting the common part in the second flow description document into a reference to the common part in the first flow description document, wherein the reference includes identification information of the first flow description document, and information which specifies a start tag and end tag of the common part. 6. The method according to claim 1 , wherein the start tag and the end tag of the common part are tags of a markup language.
| 0.937687 |
6. An interactive learning system as defined in claim 4 wherein said tokens stored in said memory means comprise: a commutable type of token which requires that three entries be found in one of two possible sequences; and a one of type of token which requires that one of two possible entries be found.
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6. An interactive learning system as defined in claim 4 wherein said tokens stored in said memory means comprise: a commutable type of token which requires that three entries be found in one of two possible sequences; and a one of type of token which requires that one of two possible entries be found. 7. An interactive learning system as defined in claim 6 wherein each of said entries of said tokens comprises at least one ASCII character.
| 0.953846 |
1. An implant adapted to be implanted in a spine of a patient comprising: a body including a shield with a shield cavity, the shield cavity having a first end and a second end; a deflection rod having a fixed end and a free end and a longitudinal axis, the deflection rod mounted in said shield cavity such that the fixed end is secured in the first end of the shield cavity and the free end extends out of the second end of the shield cavity; said deflection rod being spaced from said shield along a first portion of said deflection rod extending from the free end and into the shield cavity such that said first portion of said deflection rod is configured for deflection perpendicular to the longitudinal axis in response to a load applied to the free end of the deflection rod, said deflection of said first portion of said deflection rod being limited by the shield; and wherein said defection rod comprises a superelastic material.
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1. An implant adapted to be implanted in a spine of a patient comprising: a body including a shield with a shield cavity, the shield cavity having a first end and a second end; a deflection rod having a fixed end and a free end and a longitudinal axis, the deflection rod mounted in said shield cavity such that the fixed end is secured in the first end of the shield cavity and the free end extends out of the second end of the shield cavity; said deflection rod being spaced from said shield along a first portion of said deflection rod extending from the free end and into the shield cavity such that said first portion of said deflection rod is configured for deflection perpendicular to the longitudinal axis in response to a load applied to the free end of the deflection rod, said deflection of said first portion of said deflection rod being limited by the shield; and wherein said defection rod comprises a superelastic material. 3. The implant of claim 1 , wherein deflection of the free end of the deflection rod requires approximately 300 lbs force per inch over a first 0.06 inches of travel and approximately 1000 lbs per inch over a further 0.04 inches of travel.
| 0.71752 |
16. The computer-implemented method of 15 , further comprising executing at least a portion of the machine-readable instructions.
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16. The computer-implemented method of 15 , further comprising executing at least a portion of the machine-readable instructions. 18. The computer-implemented method of claim 16 , wherein executing at least a portion of the machine-readable instructions comprises executing all of the machine-readable instructions except for at least one of the machine-readable instructions.
| 0.945455 |
6. The method as recited in claim 5 , wherein the act of receiving a form of user input comprises an act of receiving keyboard driven cursor movement; and wherein the act of re-positioning the closing code construct comprises an act of moving the closing code construct along with the cursor in response to the keyboard driven cursor movement.
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6. The method as recited in claim 5 , wherein the act of receiving a form of user input comprises an act of receiving keyboard driven cursor movement; and wherein the act of re-positioning the closing code construct comprises an act of moving the closing code construct along with the cursor in response to the keyboard driven cursor movement. 7. The method as recited in claim 6 , wherein the keyboard driven cursor movement comprises arrow key cursor movement.
| 0.978754 |
1. An apparatus to authenticate an identification document, the identification document comprising: an image including steganographically encoded first machine-readable information including a first plural-bit message, a background including steganographically encoded second machine-readable information including a second plural-bit message, and semantic information including authentication information carried on or in the identification document, the apparatus comprising: a first reader configured to determine the first plural-bit message based on the first machine-readable information and determine the second plural-bit message based on the second machine-readable information; a second reader configured to determine authentication information from the semantic information carried on or in the identification document; and an electronic processor configured to: decrypt the first plural-bit message or the authentication information; and determine whether the identification document is authentic based at least in part on the first plural-bit message, the second plural-bit message, and the authentication information, wherein the second plural-bit message comprises information from the first plural-bit message and the authentication information.
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1. An apparatus to authenticate an identification document, the identification document comprising: an image including steganographically encoded first machine-readable information including a first plural-bit message, a background including steganographically encoded second machine-readable information including a second plural-bit message, and semantic information including authentication information carried on or in the identification document, the apparatus comprising: a first reader configured to determine the first plural-bit message based on the first machine-readable information and determine the second plural-bit message based on the second machine-readable information; a second reader configured to determine authentication information from the semantic information carried on or in the identification document; and an electronic processor configured to: decrypt the first plural-bit message or the authentication information; and determine whether the identification document is authentic based at least in part on the first plural-bit message, the second plural-bit message, and the authentication information, wherein the second plural-bit message comprises information from the first plural-bit message and the authentication information. 3. The apparatus of claim 1 , wherein the semantic information comprises data representing a photograph.
| 0.576289 |
1. One or more non-transitory computer-readable media having computer-executable instructions embodied thereon that, when executed by a computing device, facilitate a method of providing context-sensitive writing assistance, the method comprising: determining a context of a textual communication that a user is composing, wherein the context comprises a specific recipient to which the textual communication is addressed; selecting one or more dictionaries from a plurality of dictionaries, wherein the one or more dictionaries include words that are consistent with a communication style used in previous textual communications addressed to the specific recipient or written by the specific recipient; and providing, by way of the computing device, writing assistance that utilizes the one or more dictionaries, thereby tuning the writing assistance to match the communication style, wherein the writing assistance comprises a text slang to proper English conversion function that is activated only when a text-slang dictionary is not one of the one or more dictionaries, wherein the writing assistance is provided while the textual communication is being composed.
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1. One or more non-transitory computer-readable media having computer-executable instructions embodied thereon that, when executed by a computing device, facilitate a method of providing context-sensitive writing assistance, the method comprising: determining a context of a textual communication that a user is composing, wherein the context comprises a specific recipient to which the textual communication is addressed; selecting one or more dictionaries from a plurality of dictionaries, wherein the one or more dictionaries include words that are consistent with a communication style used in previous textual communications addressed to the specific recipient or written by the specific recipient; and providing, by way of the computing device, writing assistance that utilizes the one or more dictionaries, thereby tuning the writing assistance to match the communication style, wherein the writing assistance comprises a text slang to proper English conversion function that is activated only when a text-slang dictionary is not one of the one or more dictionaries, wherein the writing assistance is provided while the textual communication is being composed. 7. The media of claim 1 , wherein the method further comprises receiving an initial default preference for the one or more dictionaries from the user for the specific recipient.
| 0.577304 |
12. A computer program product for translating digital content from a source language to a target language, the computer program product comprising: a computer readable storage medium having computer readable program code embodied therewith, that when executed by a computer causes the computer to: provide for display a message to a user, the message containing digital content from a page to be translated from the source language to the target language and a context of the digital content in the source language, wherein the context of the digital content includes a representation of at least a portion of the page including the digital content and one or more additional digital content in the source language in the page, and wherein the representation of the page preserves a layout and style of the digital content and the one or more additional digital content in the page; receive from the user a proposed translation of the digital content into the target language; and submit the proposed translation to a translation server.
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12. A computer program product for translating digital content from a source language to a target language, the computer program product comprising: a computer readable storage medium having computer readable program code embodied therewith, that when executed by a computer causes the computer to: provide for display a message to a user, the message containing digital content from a page to be translated from the source language to the target language and a context of the digital content in the source language, wherein the context of the digital content includes a representation of at least a portion of the page including the digital content and one or more additional digital content in the source language in the page, and wherein the representation of the page preserves a layout and style of the digital content and the one or more additional digital content in the page; receive from the user a proposed translation of the digital content into the target language; and submit the proposed translation to a translation server. 15. The computer program product of claim 12 , further comprising computer readable program code configured to: display the translated digital content to a reviewer in a review tool; and receive input from the reviewer pertaining to any translated phrases for correction.
| 0.602816 |
7. The method of claim 1 in which the answer DBS includes steps for enabling any user of the answer DBS to bet on which competing answer will win in a bet controversy.
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7. The method of claim 1 in which the answer DBS includes steps for enabling any user of the answer DBS to bet on which competing answer will win in a bet controversy. 8. The method of claim 7 , the answer DBS further: creating a betting line regarding which answer will be judged best, generating said line from the bet offers and bet agreements made by users regarding which competing answer is best dynamically designating the answer that is favored according to the betting line as the current answer, until such time as a judge decides which competing answer is best upon the judge entering a decision as to which answer is best, the answer DBS storing the decision and designating the winning answer as the current answer, and the author of that answer as the current author.
| 0.915334 |
23. The decoding device of claim 21 , further comprising: a demodulator configured to receive a modulated signal and demodulating the modulated signal into at least the m-bit information words.
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23. The decoding device of claim 21 , further comprising: a demodulator configured to receive a modulated signal and demodulating the modulated signal into at least the m-bit information words. 24. The decoding device of claim 23 , further comprising: a reproducing device configured to reproduce the modulated signal from a recording medium, and to demodulate the modulated signal into at least the m-bit information words.
| 0.831162 |
19. The method of claim 14 , further comprising executing the output module to provide output to the user in the form of a graphical representation, wherein the content of the graphical representation is determined by the user input character string.
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19. The method of claim 14 , further comprising executing the output module to provide output to the user in the form of a graphical representation, wherein the content of the graphical representation is determined by the user input character string. 24. The method of claim 19 , further comprising using the output module to provide output to the user in form of a sequence of colors determined by the user input character string.
| 0.929407 |
11. An apparatus comprising: a database of reviews; and a review-provider server that accepts as input a review request for a reviewed subject from a first networked computer, wherein said review request is responsive to processing of a client-side script by said first networked computer and further wherein said client-side script is caused to be received by said first networked computer by a networked third-party server; selects one or more reviews of said reviewed subject responsive to said review request from said database of reviews; and sends at least a portion of said one or more reviews to said first networked computer.
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11. An apparatus comprising: a database of reviews; and a review-provider server that accepts as input a review request for a reviewed subject from a first networked computer, wherein said review request is responsive to processing of a client-side script by said first networked computer and further wherein said client-side script is caused to be received by said first networked computer by a networked third-party server; selects one or more reviews of said reviewed subject responsive to said review request from said database of reviews; and sends at least a portion of said one or more reviews to said first networked computer. 19. The apparatus of claim 11 , wherein said first networked computer is associated with a requesting user and further wherein said review-provider server computes a social distance between said requesting user and a user-author of one of said one or more reviews.
| 0.846878 |
4. The method of claim 2 wherein the sub-path definition comprises a modified path expression configured to match a plurality of path expressions corresponding to the plurality of covered descendant elements.
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4. The method of claim 2 wherein the sub-path definition comprises a modified path expression configured to match a plurality of path expressions corresponding to the plurality of covered descendant elements. 6. The method of claim 4 further comprising returning, by the indexing engine, a notification that the clause cannot be processed by the inverted multi-path index when at least one of the path expression in the clause does not match the modified path expression and the index property cannot produce an indexed value satisfying the clause.
| 0.893579 |
1. A computer-implemented method comprising: determining a collection of named entity terms within a data store coupled to a computer of a user, a named entity term having an associated weight indicating a likelihood that the named entity term is included is a named entity; identifying an event comprising a user interaction with an article on the computer; identifying a plurality of named entity terms associated with the event; identifying, from the collection the weight associated with each of the plurality of named entity terms; responsive to identifying the weight associated with each of the plurality of named entity terms, automatically creating an implicit search query based at least in part on the plurality of named entity terms and the associated weights, the implicit search query based on a first named entity term with an associated weight indicating a higher likelihood that the first named entity term is a named entity more than on a second named entity term with an associated weight indicating a lower likelihood that the second named entity term is a named entity; generating, from the computer, a plurality of search results relevant to the implicit search query; and providing for display the generated plurality of search results.
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1. A computer-implemented method comprising: determining a collection of named entity terms within a data store coupled to a computer of a user, a named entity term having an associated weight indicating a likelihood that the named entity term is included is a named entity; identifying an event comprising a user interaction with an article on the computer; identifying a plurality of named entity terms associated with the event; identifying, from the collection the weight associated with each of the plurality of named entity terms; responsive to identifying the weight associated with each of the plurality of named entity terms, automatically creating an implicit search query based at least in part on the plurality of named entity terms and the associated weights, the implicit search query based on a first named entity term with an associated weight indicating a higher likelihood that the first named entity term is a named entity more than on a second named entity term with an associated weight indicating a lower likelihood that the second named entity term is a named entity; generating, from the computer, a plurality of search results relevant to the implicit search query; and providing for display the generated plurality of search results. 4. The method of claim 1 , wherein determining the collection of named entity terms comprises analyzing an email data store.
| 0.615457 |
1. A method of analyzing data, comprising: generating, by an entity, a query based at least in part on a topic of interest; executing the query on a plurality of data sources; selecting, by the entity, a data source from the plurality of data sources for monitoring based on a correlation between the data source and the topic of interest, the correlation determined based on results of the executed query; monitoring, based on a set schedule, the data source for matches to the query to extract data from the data source when at least an update to stored data matches the query, newly added data matches the query, or a combination thereof; extracting data from the data source when at least the update to the stored data matches the query, the newly added data matches the query, or the combination thereof; determining an extraction rate for extracting the data, the extraction rate indicating an amount of the data that is extracted over a first time period; determining a first processing rate for processing the extracted data with a number of parallel processors, the first processing rate indicating an amount of extracted data that is processed over a second time period; dynamically adjusting the number of parallel processors for analyzing the extracted data based on the extraction rate to obtain a second processing rate that is greater than the first processing rate; analyzing, with the parallel processors, the extracted data to determine at least one of a sentiment, an index, a pattern, or a combination thereof; establishing a two-way communication channel, between at least the entity that selected the data source for monitoring and a user device of a user that provided the data to the data source, based on the analysis of the extracted data; transmitting, from the entity via the two-way communication channel, a first message directed to the user device based on the analysis of the extracted data; and receiving, from the user device via the two-way communication channel, a second message in response to the first message directed to the user device.
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1. A method of analyzing data, comprising: generating, by an entity, a query based at least in part on a topic of interest; executing the query on a plurality of data sources; selecting, by the entity, a data source from the plurality of data sources for monitoring based on a correlation between the data source and the topic of interest, the correlation determined based on results of the executed query; monitoring, based on a set schedule, the data source for matches to the query to extract data from the data source when at least an update to stored data matches the query, newly added data matches the query, or a combination thereof; extracting data from the data source when at least the update to the stored data matches the query, the newly added data matches the query, or the combination thereof; determining an extraction rate for extracting the data, the extraction rate indicating an amount of the data that is extracted over a first time period; determining a first processing rate for processing the extracted data with a number of parallel processors, the first processing rate indicating an amount of extracted data that is processed over a second time period; dynamically adjusting the number of parallel processors for analyzing the extracted data based on the extraction rate to obtain a second processing rate that is greater than the first processing rate; analyzing, with the parallel processors, the extracted data to determine at least one of a sentiment, an index, a pattern, or a combination thereof; establishing a two-way communication channel, between at least the entity that selected the data source for monitoring and a user device of a user that provided the data to the data source, based on the analysis of the extracted data; transmitting, from the entity via the two-way communication channel, a first message directed to the user device based on the analysis of the extracted data; and receiving, from the user device via the two-way communication channel, a second message in response to the first message directed to the user device. 10. The method of claim 1 , further comprising analyzing, by an entity user corresponding to the entity, the results of the query in view of the topic of interest and a sub-topic of interest; and determining, by the entity user, the correlation between the data source and the topic of interest based on the analysis of the results of the query.
| 0.552251 |
13. A communication system comprising: an audio visual asset recorded by a first user using a predetermined script to communicate with a second user; at least one audio visual segment created by partitioning the audio visual asset such that a variable final message compilation is anticipated; at least one of a naming paradigm and a data tagging system to tag the at least one audio visual segment such that the at least one audio visual segment is accessible via an audio visual data tag and is exported to the variable final message compilation; a multimedia synthesis compiler to compile the variable final message compilation upon uploading of the at least one audio visual segment into the multimedia synthesis compiler; and a message sent to the second user from the variable final message compilation based on the at least one audio visual segment.
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13. A communication system comprising: an audio visual asset recorded by a first user using a predetermined script to communicate with a second user; at least one audio visual segment created by partitioning the audio visual asset such that a variable final message compilation is anticipated; at least one of a naming paradigm and a data tagging system to tag the at least one audio visual segment such that the at least one audio visual segment is accessible via an audio visual data tag and is exported to the variable final message compilation; a multimedia synthesis compiler to compile the variable final message compilation upon uploading of the at least one audio visual segment into the multimedia synthesis compiler; and a message sent to the second user from the variable final message compilation based on the at least one audio visual segment. 15. The system of claim 13 wherein the multimedia synthesis compiler compiles the variable final message compilation such that the final message compilation is outputted in at least one audio visual segment.
| 0.724868 |
8. A system, comprising: at least one hardware processor; and at least one non-transitory computer-readable storage medium storing instructions that, when executed by the at least one hardware processor, cause the at least one hardware processor to perform: accessing information specifying at least one referential expression for a first referent and at least one anaphoric expression for the first referent; accessing a template including human-language text, a first tag that serves as a placeholder for a first text portion including a first reference to the first referent, and a second tag that serves as a placeholder for a second text portion including a second reference to a second referent; automatically identifying, using software encoding at least one system rule, text to use for the first text portion at least in part by determining whether to use, for the first text portion, the at least one referential expression or the at least one anaphoric expression, wherein the determining comprises: determining to use the at least one anaphoric expression as the text for the first text portion when the system has determined to use the at least one referential expression to replace the second tag in the template, and when the second tag is within a threshold distance of the first tag in the template; automatically generating output text including the human-language text and the identified text for the first text portion; and presenting, via a device, the automatically generated output text to a user.
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8. A system, comprising: at least one hardware processor; and at least one non-transitory computer-readable storage medium storing instructions that, when executed by the at least one hardware processor, cause the at least one hardware processor to perform: accessing information specifying at least one referential expression for a first referent and at least one anaphoric expression for the first referent; accessing a template including human-language text, a first tag that serves as a placeholder for a first text portion including a first reference to the first referent, and a second tag that serves as a placeholder for a second text portion including a second reference to a second referent; automatically identifying, using software encoding at least one system rule, text to use for the first text portion at least in part by determining whether to use, for the first text portion, the at least one referential expression or the at least one anaphoric expression, wherein the determining comprises: determining to use the at least one anaphoric expression as the text for the first text portion when the system has determined to use the at least one referential expression to replace the second tag in the template, and when the second tag is within a threshold distance of the first tag in the template; automatically generating output text including the human-language text and the identified text for the first text portion; and presenting, via a device, the automatically generated output text to a user. 10. The system of claim 8 , wherein the first reference in the first text portion to the first referent matches the second reference to the second referent, and wherein the at least one anaphoric expression comprises a plural anaphoric expression for referring simultaneously to both the first referent and the second referent.
| 0.689038 |
1. A computer program product, comprising: a non-transitory computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code comprising: computer-readable program code configured to compute a concept score for a first concept in a first case, wherein the concept score is based on whether the first concept is present in at least one of a candidate answer and an item of supporting evidence; computer-readable program code configured to adjust the concept score based on a coefficient for the first concept in a machine learning concept model for the first concept, wherein the coefficient reflects a relevance of the first concept in generating a correct response to the first case; computer-readable program code configured to exclude the first concept from consideration when analyzing the candidate answer and the item of supporting evidence to generate a response to the first case upon determining at least one of: (i) that the adjusted concept score does not exceed a predefined minimum weight threshold and (ii) that the coefficient does not exceed a predefined noise threshold; and computer-readable program code configured to consider the first concept when analyzing the candidate answer and the item of supporting evidence to generate the response to the first case upon determining at least one of the concept score and the coefficient exceeds a predefined maximum weight threshold.
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1. A computer program product, comprising: a non-transitory computer-readable storage medium having computer-readable program code embodied therewith, the computer-readable program code comprising: computer-readable program code configured to compute a concept score for a first concept in a first case, wherein the concept score is based on whether the first concept is present in at least one of a candidate answer and an item of supporting evidence; computer-readable program code configured to adjust the concept score based on a coefficient for the first concept in a machine learning concept model for the first concept, wherein the coefficient reflects a relevance of the first concept in generating a correct response to the first case; computer-readable program code configured to exclude the first concept from consideration when analyzing the candidate answer and the item of supporting evidence to generate a response to the first case upon determining at least one of: (i) that the adjusted concept score does not exceed a predefined minimum weight threshold and (ii) that the coefficient does not exceed a predefined noise threshold; and computer-readable program code configured to consider the first concept when analyzing the candidate answer and the item of supporting evidence to generate the response to the first case upon determining at least one of the concept score and the coefficient exceeds a predefined maximum weight threshold. 5. The computer program product of claim 1 , further comprising: computer-readable program code configured to generate, based on the first concept score, a response to the first case.
| 0.678883 |
33. A computer-implemented method for providing an annotation of a digital work, comprising: under control of instructions that are executed by one or more computing devices: obtaining a first representation of a digital work, the first representation comprising one or more images; obtaining a second representation of the digital work, the second representation comprising content of the digital work in a form that allows particular content of the digital work to be indicated, the particular content being correlatable with one or more locations in the one or more images at which the particular content is represented; receiving an annotation of the digital work in regard to indicated particular content of the digital work; and providing to a user the annotation in context with regard to the digital work.
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33. A computer-implemented method for providing an annotation of a digital work, comprising: under control of instructions that are executed by one or more computing devices: obtaining a first representation of a digital work, the first representation comprising one or more images; obtaining a second representation of the digital work, the second representation comprising content of the digital work in a form that allows particular content of the digital work to be indicated, the particular content being correlatable with one or more locations in the one or more images at which the particular content is represented; receiving an annotation of the digital work in regard to indicated particular content of the digital work; and providing to a user the annotation in context with regard to the digital work. 39. The method of claim 33 , wherein the digital work originates from a source and wherein the user to whom the annotation is provided and the source of the digital work are different.
| 0.562072 |
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