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1. A computerized method for responding to a user query, the method comprising: receiving a query submitted by a user; electronically searching, via a processing device, a corpus comprising a plurality of documents to identify one or more hits, wherein each hit is a document from the corpus that is determined to be relevant to the query; generating a search report including a listing of the one or more hits; transmitting the search report to the user, wherein for each hit that is not an annotated hit, providing a control element selectable by the user to create a new annotation associated with the hit; receiving one or more annotations related to the one or more hits from the user, wherein the one or more annotations include one or more user-entered keywords describing the one or more hits; generating one or more annotation abstracts for the one or more hits based on the one or more annotations, the one or more annotation abstracts comprising one or more portions of a document associated with the one or more hits, the portions of the document relevant to the one or more user-generated keywords describing the one or more hits; adding to a data store the one or more annotations relating to the one or more hits provided by the user in order to create a library of annotations; electronically accessing, via the processing device, the library of annotations created by the user, each annotation being associated with at least one of the documents in the corpus and including user-specific metadata related to that document; classifying the one or more hits according to the one or more annotations; identifying one or more interests of the user based on the classification of the hits related to the one or more annotations; determining an intended scope of the query submitted by the user based on the one or more interests, the intended scope comprising a classification of hits from a plurality of disparate classifications of hits; detecting whether a search term associated with the query is present for each document in the corpus associated with the one or more annotations, wherein a given document is identified as a hit in the event that the search term is present in the document and the document is associated with the intended scope of the query, wherein the user-specific metadata includes a plurality of fields and the query specifies which of the fields are to be considered during an act of identifying documents and which of the fields are to be excluded during the act of identifying documents; electronically identifying, via the processing device, as an annotated hit, each of the hits that is associated with a matching one of the annotations in the fields being considered and associated with the intended scope of the query; determining an inferred rating for each hit that is not an annotated hit on the basis of similarity of a hit that is not an annotated hit with one or more annotated hits and a rating of the one or more annotated hits; in response to receiving the one or more annotations, automatically regenerating the search report to update the search report, the search report comprising: the listing of the hits ranked accordingly to the inferred rating of the hits that are not annotated hits and the rating of the annotated hits, and the one or more annotation abstracts, the search report further indicating, for each hit, whether the hit is an annotated hit; and transmitting the regenerated search report to the user.
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1. A computerized method for responding to a user query, the method comprising: receiving a query submitted by a user; electronically searching, via a processing device, a corpus comprising a plurality of documents to identify one or more hits, wherein each hit is a document from the corpus that is determined to be relevant to the query; generating a search report including a listing of the one or more hits; transmitting the search report to the user, wherein for each hit that is not an annotated hit, providing a control element selectable by the user to create a new annotation associated with the hit; receiving one or more annotations related to the one or more hits from the user, wherein the one or more annotations include one or more user-entered keywords describing the one or more hits; generating one or more annotation abstracts for the one or more hits based on the one or more annotations, the one or more annotation abstracts comprising one or more portions of a document associated with the one or more hits, the portions of the document relevant to the one or more user-generated keywords describing the one or more hits; adding to a data store the one or more annotations relating to the one or more hits provided by the user in order to create a library of annotations; electronically accessing, via the processing device, the library of annotations created by the user, each annotation being associated with at least one of the documents in the corpus and including user-specific metadata related to that document; classifying the one or more hits according to the one or more annotations; identifying one or more interests of the user based on the classification of the hits related to the one or more annotations; determining an intended scope of the query submitted by the user based on the one or more interests, the intended scope comprising a classification of hits from a plurality of disparate classifications of hits; detecting whether a search term associated with the query is present for each document in the corpus associated with the one or more annotations, wherein a given document is identified as a hit in the event that the search term is present in the document and the document is associated with the intended scope of the query, wherein the user-specific metadata includes a plurality of fields and the query specifies which of the fields are to be considered during an act of identifying documents and which of the fields are to be excluded during the act of identifying documents; electronically identifying, via the processing device, as an annotated hit, each of the hits that is associated with a matching one of the annotations in the fields being considered and associated with the intended scope of the query; determining an inferred rating for each hit that is not an annotated hit on the basis of similarity of a hit that is not an annotated hit with one or more annotated hits and a rating of the one or more annotated hits; in response to receiving the one or more annotations, automatically regenerating the search report to update the search report, the search report comprising: the listing of the hits ranked accordingly to the inferred rating of the hits that are not annotated hits and the rating of the annotated hits, and the one or more annotation abstracts, the search report further indicating, for each hit, whether the hit is an annotated hit; and transmitting the regenerated search report to the user. 13. The method of claim 1 wherein the library of annotations further includes at least one annotation that is associated with a group of documents in the corpus and wherein any hit that is one of the group of documents is identified as an annotated hit.
| 0.543649 |
18. The device of claim 15 , wherein the operations comprise: after storing the speaker-dependent speech recognition model, receiving a spoken input; and obtaining a result of performing speech recognition on the spoken input using the speaker-dependent speech recognition model.
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18. The device of claim 15 , wherein the operations comprise: after storing the speaker-dependent speech recognition model, receiving a spoken input; and obtaining a result of performing speech recognition on the spoken input using the speaker-dependent speech recognition model. 20. The device of claim 18 , wherein the operations comprise performing a voice dialing operation using the result.
| 0.899129 |
10. The method of claim 1 , comprising: determining a type of script that corresponds to the handwritten input; determining a heuristic that is associated with the type of script, wherein the cut point data is obtained based on the heuristic.
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10. The method of claim 1 , comprising: determining a type of script that corresponds to the handwritten input; determining a heuristic that is associated with the type of script, wherein the cut point data is obtained based on the heuristic. 11. The method of claim 10 , wherein a type of script is a Latin script, Cyrillic script, or a Japanese script.
| 0.945347 |
1. A method comprising: obtaining, by a knowledge acquisition engine, search information by analyzing a search request received from a client system; parsing the search request comprising textual characters to identify keywords, wherein the identified keywords are used to construct corresponding values for predefined fields; identifying, by the knowledge acquisition engine, a first knowledge base by matching the search information with contents of the first knowledge base, wherein matching the search information with contents of the first knowledge base includes accessing an index that has been compiled from the first knowledge base; identifying, by the knowledge acquisition engine, a second knowledge base by matching the search information with contents of the second knowledge base; acquiring knowledge of a first type by sending, by the knowledge acquisition engine, a first request to the first knowledge base; and acquiring knowledge of a second type by sending, by the knowledge acquisition engine, a second request to the second knowledge base, the first request and the second request sent sequentially, the second request generated to include a first search term including a portion of the search request originally received from the client system, the second request further comprising a second search term obtained from knowledge acquired in response to the first request to the first knowledge base, the first and second search terms comprising text, wherein the knowledge acquisition engine is implemented on at least one processor.
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1. A method comprising: obtaining, by a knowledge acquisition engine, search information by analyzing a search request received from a client system; parsing the search request comprising textual characters to identify keywords, wherein the identified keywords are used to construct corresponding values for predefined fields; identifying, by the knowledge acquisition engine, a first knowledge base by matching the search information with contents of the first knowledge base, wherein matching the search information with contents of the first knowledge base includes accessing an index that has been compiled from the first knowledge base; identifying, by the knowledge acquisition engine, a second knowledge base by matching the search information with contents of the second knowledge base; acquiring knowledge of a first type by sending, by the knowledge acquisition engine, a first request to the first knowledge base; and acquiring knowledge of a second type by sending, by the knowledge acquisition engine, a second request to the second knowledge base, the first request and the second request sent sequentially, the second request generated to include a first search term including a portion of the search request originally received from the client system, the second request further comprising a second search term obtained from knowledge acquired in response to the first request to the first knowledge base, the first and second search terms comprising text, wherein the knowledge acquisition engine is implemented on at least one processor. 6. The method of claim 1 , wherein matching the search information with contents of the second knowledge base includes accessing an index that has been compiled from the second knowledge base.
| 0.580013 |
8. The method of claim 1 , wherein the determining whether the message is an unauthorized user account communication comprises: generating an alert indicating that the message is an unauthorized user account communication.
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8. The method of claim 1 , wherein the determining whether the message is an unauthorized user account communication comprises: generating an alert indicating that the message is an unauthorized user account communication. 10. The method of claim 8 , wherein generating the alert comprises: generating the alert comprising a location of a device from which the message was received.
| 0.915777 |
24. A device, comprising: a processor; a memory coupled to said processor, wherein said memory comprises program instructions executable by said processor to implement a remote service process configured to: provide a markup language schema within a distributed computing system, wherein said markup language schema defines a message interface for a plurality of events generated by the remote service process and indicates the plurality of events to be published by the remote service; and provide an address for said remote service process within a distributed computing system generate an event; generate a message in a markup language, wherein the message includes a markup language representation of the event generated by the remote service process; and send the message over a network to one or more event message gate units in a distributed computing system that have each automatically subscribed to the event with the remote service process in response to one or more client processes registering interest in the event with the respective event message gate unit; wherein each of the one or more event message gate units is operable to distribute the markup language representation of the event sent in the message from the remote service process to the one or more client processes registered with the respective event message gate unit to receive the event from the remote service process, wherein to distribute the markup language representation of the event, each of the one or more event message gate units is operable to send the markup language representation of the event from the respective event message gate unit to the one or more client processes; wherein each of the one or more event message gate constructed, using computer-executable message endpoint construction code on the client platform according to the markup language schema and the provided address for the remote service process, wherein each of the event message gate units automatically constructed within a runtime system of the client platform, and wherein each of the event message gate units implements an API to send and receive event messages to and from the service; and wherein said markup language representation is in a data representation format which is independent of said client platform.
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24. A device, comprising: a processor; a memory coupled to said processor, wherein said memory comprises program instructions executable by said processor to implement a remote service process configured to: provide a markup language schema within a distributed computing system, wherein said markup language schema defines a message interface for a plurality of events generated by the remote service process and indicates the plurality of events to be published by the remote service; and provide an address for said remote service process within a distributed computing system generate an event; generate a message in a markup language, wherein the message includes a markup language representation of the event generated by the remote service process; and send the message over a network to one or more event message gate units in a distributed computing system that have each automatically subscribed to the event with the remote service process in response to one or more client processes registering interest in the event with the respective event message gate unit; wherein each of the one or more event message gate units is operable to distribute the markup language representation of the event sent in the message from the remote service process to the one or more client processes registered with the respective event message gate unit to receive the event from the remote service process, wherein to distribute the markup language representation of the event, each of the one or more event message gate units is operable to send the markup language representation of the event from the respective event message gate unit to the one or more client processes; wherein each of the one or more event message gate constructed, using computer-executable message endpoint construction code on the client platform according to the markup language schema and the provided address for the remote service process, wherein each of the event message gate units automatically constructed within a runtime system of the client platform, and wherein each of the event message gate units implements an API to send and receive event messages to and from the service; and wherein said markup language representation is in a data representation format which is independent of said client platform. 26. The device as recited in claim 24 , wherein the markup language schema defines a plurality of messages including markup language representations of the plurality of events generated by the service process.
| 0.873321 |
20. A device, comprising: a processor to execute machine-readable instructions, the instructions when executed causing the processor to: receive a command, the command comprising: a first name, a second name, and a dot operator, the dot operator being between the first name and the second name; detect a possible mistake in the second name; access a set of known identifiers, the set of known identifiers including expected identifiers; calculate a first numerical score for the known identifiers using a keyboard penalty matrix and based on the possible mistake detected in the second name and the known identifiers; and select one or more expected identifiers for the second name, the selecting being based on the first numerical score.
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20. A device, comprising: a processor to execute machine-readable instructions, the instructions when executed causing the processor to: receive a command, the command comprising: a first name, a second name, and a dot operator, the dot operator being between the first name and the second name; detect a possible mistake in the second name; access a set of known identifiers, the set of known identifiers including expected identifiers; calculate a first numerical score for the known identifiers using a keyboard penalty matrix and based on the possible mistake detected in the second name and the known identifiers; and select one or more expected identifiers for the second name, the selecting being based on the first numerical score. 24. The device of claim 20 , where the second name is located to the right of the first name on a command line or in a software code listing and the second name is within scope of the first name.
| 0.681855 |
16. A system, comprising: a data store storing a query log that includes a set of previous search tokens from previous queries that were received during a current search session; and data processing apparatus including one or more processors configured to interact with the data store and to perform actions including: receiving a current search query during a current search session, the current search query comprising one or more current search tokens; comparing the one or more current search tokens to the set of previous search tokens; identifying, as a potentially inaccurate search token, at least one of the one or more current search tokens that is not included in the set of previous search tokens; identifying a possible replacement token for the potentially inaccurate search token; wherein the possible replacement token is a token with which the potentially inaccurate search token was previously replaced with at least a minimum specified rate; identifying related tokens from a query log based upon previous search queries associated with the current search session; determining whether the possible replacement token for the potentially inaccurate search token is included in the group of related tokens; and in response to determining that the possible replacement token is among the group of related tokens, generating a modified search query that includes the possible replacement token.
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16. A system, comprising: a data store storing a query log that includes a set of previous search tokens from previous queries that were received during a current search session; and data processing apparatus including one or more processors configured to interact with the data store and to perform actions including: receiving a current search query during a current search session, the current search query comprising one or more current search tokens; comparing the one or more current search tokens to the set of previous search tokens; identifying, as a potentially inaccurate search token, at least one of the one or more current search tokens that is not included in the set of previous search tokens; identifying a possible replacement token for the potentially inaccurate search token; wherein the possible replacement token is a token with which the potentially inaccurate search token was previously replaced with at least a minimum specified rate; identifying related tokens from a query log based upon previous search queries associated with the current search session; determining whether the possible replacement token for the potentially inaccurate search token is included in the group of related tokens; and in response to determining that the possible replacement token is among the group of related tokens, generating a modified search query that includes the possible replacement token. 17. The system of claim 16 , wherein the one or more processors are further configured to identify the potentially inaccurate search token by performing actions including identifying a potentially misspelled search token
| 0.62807 |
10. An apparatus for classifying a mood of a music file, comprising: a timbre extraction unit to extract a Modified Discrete Cosine Transformation-based timbre feature from a compressed domain of a music file; a tempo extraction unit to extract a Modified Discrete Cosine Transformation-based tempo feature from the compressed domain of the music file; and a mood classification unit to classify the mood of the music file based on the extracted timbre feature and the extracted tempo feature, wherein the timbre extraction unit extracts the Modified Discrete Cosine Transformation-based timbre feature from the compressed domain of the music file by extracting Modified Discrete Cosine Transformation coefficients by decoding a part of the music file; selecting the Modified Discrete Cosine Transformation coefficients of a predetermined number of sub-bands from the extracted Modified Discrete Cosine Transformation coefficients; and extracting a spectral centroid, a bandwidth, a rolloff, and a flux from the selected Modified Discrete Cosine Transformation coefficients, and wherein the mood classification unit comprises: a first classification unit classifying a genre of the music file based on the extracted timbre feature; and a second classification unit reclassifying a category of the music file based on the extracted tempo feature when uncertainty of a genre classification result is greater than a predetermined value.
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10. An apparatus for classifying a mood of a music file, comprising: a timbre extraction unit to extract a Modified Discrete Cosine Transformation-based timbre feature from a compressed domain of a music file; a tempo extraction unit to extract a Modified Discrete Cosine Transformation-based tempo feature from the compressed domain of the music file; and a mood classification unit to classify the mood of the music file based on the extracted timbre feature and the extracted tempo feature, wherein the timbre extraction unit extracts the Modified Discrete Cosine Transformation-based timbre feature from the compressed domain of the music file by extracting Modified Discrete Cosine Transformation coefficients by decoding a part of the music file; selecting the Modified Discrete Cosine Transformation coefficients of a predetermined number of sub-bands from the extracted Modified Discrete Cosine Transformation coefficients; and extracting a spectral centroid, a bandwidth, a rolloff, and a flux from the selected Modified Discrete Cosine Transformation coefficients, and wherein the mood classification unit comprises: a first classification unit classifying a genre of the music file based on the extracted timbre feature; and a second classification unit reclassifying a category of the music file based on the extracted tempo feature when uncertainty of a genre classification result is greater than a predetermined value. 11. The apparatus of claim 10 , further comprising a display unit displaying a result of the classifying of the mood of the music file in an order according to mood classification reliability.
| 0.653383 |
1. A portable dataport for document retrieving, inter-relating, annotating and management comprising: an electronic document storage device associated with the dataport, for storing a plurality of related electronic documents associated with a project, wherein the plurality of related electronic documents are at least a one dimensional grid; and a view manager having a plurality of scrollable image viewers in communication with the electronic document storage device, wherein a related electronic document of the plurality of related electronic documents is loaded into one scrollable image viewer of the plurality of scrollable image viewers for immediate viewing as a currently viewed document, wherein a scale of the currently viewed document is saved in the view manager, wherein an (x, y) coordinate of a corner of a viewable area of the currently viewed document is saved in the view manager, wherein the scale of the currently viewed document and the (x, y) coordinate of the corner of the viewable area of the currently viewed document are applied to a subsequently viewed document when the subsequently viewed document is painted in another scrollable image viewer of the plurality of scrollable image viewers such that a viewable area of the subsequently viewed document is the same as the viewable area of the currently viewed document, wherein the subsequently viewed document is another related electronic document of the plurality of related electronic documents associated with the project, and wherein the dataport, using the view manager, takes a snapshot of a particular portion of the currently viewed document, wherein the snapshot identifies a location and a magnification of detail of a portion of the currently viewed document, creates a copy of the document portion, and permits a user to directly annotate on the document portion copy.
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1. A portable dataport for document retrieving, inter-relating, annotating and management comprising: an electronic document storage device associated with the dataport, for storing a plurality of related electronic documents associated with a project, wherein the plurality of related electronic documents are at least a one dimensional grid; and a view manager having a plurality of scrollable image viewers in communication with the electronic document storage device, wherein a related electronic document of the plurality of related electronic documents is loaded into one scrollable image viewer of the plurality of scrollable image viewers for immediate viewing as a currently viewed document, wherein a scale of the currently viewed document is saved in the view manager, wherein an (x, y) coordinate of a corner of a viewable area of the currently viewed document is saved in the view manager, wherein the scale of the currently viewed document and the (x, y) coordinate of the corner of the viewable area of the currently viewed document are applied to a subsequently viewed document when the subsequently viewed document is painted in another scrollable image viewer of the plurality of scrollable image viewers such that a viewable area of the subsequently viewed document is the same as the viewable area of the currently viewed document, wherein the subsequently viewed document is another related electronic document of the plurality of related electronic documents associated with the project, and wherein the dataport, using the view manager, takes a snapshot of a particular portion of the currently viewed document, wherein the snapshot identifies a location and a magnification of detail of a portion of the currently viewed document, creates a copy of the document portion, and permits a user to directly annotate on the document portion copy. 22. The portable dataport of claim 1 , wherein the plurality of related electronic documents are a plurality of related electronic drawings.
| 0.713312 |
7. The apparatus of claim 6 , wherein each of the plurality of nodes has (1) a label indicative of an operand or all elements and a flag indicative of whether or not the node is highlighted or (2) a pointer to another nested object, a user-defined label, and a flag indicative of whether or not the node is highlighted.
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7. The apparatus of claim 6 , wherein each of the plurality of nodes has (1) a label indicative of an operand or all elements and a flag indicative of whether or not the node is highlighted or (2) a pointer to another nested object, a user-defined label, and a flag indicative of whether or not the node is highlighted. 12. The apparatus of claim 7 , wherein the drawing component (1) draws a rectangle associated with an all-element node and highlights the all-element node if a flag of the all-element node is true, and (2) if a node associated with a drawn rectangle has a lower node which has not been associated with a rectangle, draws a rectangle associated with the lower node in the interior of the drawn rectangle so as not to overlap another rectangle placed inside the drawn rectangle.
| 0.85612 |
11. The program of claim 10 wherein the modeling software for the business process is a model for handling of letters received by a company and the specialist descriptions in the specialist hardware are of different specialist areas of the company involved in handling those letters.
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11. The program of claim 10 wherein the modeling software for the business process is a model for handling of letters received by a company and the specialist descriptions in the specialist hardware are of different specialist areas of the company involved in handling those letters. 12. The method of claim 11 wherein the specialist areas in the specialist software include customer service and bookkeeping areas of the business process.
| 0.866753 |
28. A system, comprising: one or more processors of one or more computing systems; and one or more memories including stored instructions that, when executed by at least one of the one or more processors, cause the at least one processor to: obtain, via electronic interactions over one or more computer networks, information from one or more network-accessible sites including a plurality of textual comments that are supplied by multiple users to the one or more network-accessible sites over multiple prior time periods and that are related to multiple topics; analyze, for each of the multiple prior time periods, multiple textual comments from the plurality that are for the prior time period and identify a subset of the multiple textual comments whose contents are associated with a specified content category; determine, for each of the multiple prior time periods, an actual quantity of the identified textual comments for the prior time period that are associated with an indicated topic from the multiple topics; predict, for each of multiple future time periods, an expected quantity of future textual comments associated with the indicated topic that will be supplied by users during the future time period, the predicting being based at least in part on the determined actual quantities for the multiple prior time periods and by using a first defined template representing a first set of changes in quantity over time; generate, from the determined actual quantities for the multiple prior time periods, a new defined template that includes the determined actual quantities for the multiple prior time periods and that represents a second set of changes in quantity of textual comments over time; provide, via additional electronic interactions over the one or more computer networks, information to one or more recipients that includes, for each of one or more of the multiple future time periods, an indication of the predicted expected quantity of future textual comments for the future time period; and use, at a later time after the generating of the new defined template, the new defined template to provide additional predictions of expected future quantities of textual comments for additional future time periods based on additional actual quantities of textual comments received preceding the additional future time periods.
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28. A system, comprising: one or more processors of one or more computing systems; and one or more memories including stored instructions that, when executed by at least one of the one or more processors, cause the at least one processor to: obtain, via electronic interactions over one or more computer networks, information from one or more network-accessible sites including a plurality of textual comments that are supplied by multiple users to the one or more network-accessible sites over multiple prior time periods and that are related to multiple topics; analyze, for each of the multiple prior time periods, multiple textual comments from the plurality that are for the prior time period and identify a subset of the multiple textual comments whose contents are associated with a specified content category; determine, for each of the multiple prior time periods, an actual quantity of the identified textual comments for the prior time period that are associated with an indicated topic from the multiple topics; predict, for each of multiple future time periods, an expected quantity of future textual comments associated with the indicated topic that will be supplied by users during the future time period, the predicting being based at least in part on the determined actual quantities for the multiple prior time periods and by using a first defined template representing a first set of changes in quantity over time; generate, from the determined actual quantities for the multiple prior time periods, a new defined template that includes the determined actual quantities for the multiple prior time periods and that represents a second set of changes in quantity of textual comments over time; provide, via additional electronic interactions over the one or more computer networks, information to one or more recipients that includes, for each of one or more of the multiple future time periods, an indication of the predicted expected quantity of future textual comments for the future time period; and use, at a later time after the generating of the new defined template, the new defined template to provide additional predictions of expected future quantities of textual comments for additional future time periods based on additional actual quantities of textual comments received preceding the additional future time periods. 29. The system of claim 28 wherein the predicting of expected quantities of future textual comments for the multiple future time periods includes generating trend information based on the determined actual quantities of identified textual comments for at least some of the prior time periods, and determining the predicted expected quantities for at least some of the multiple future time periods based on the generated trend information.
| 0.627539 |
1. A method comprising: outputting, by a computing device and for display at a presence-sensitive display, a graphical keyboard comprising a plurality of keys; receiving, by the computing device, an indication of a multi-touch gesture detected at the presence-sensitive display, the multi-touch gesture performed by a user having a first finger and a second finger, the multi-touch gesture comprising a first sub-gesture of the first finger that traverses a first group of keys of the plurality of keys and a second sub-gesture of the second finger that traverses a second group of keys of the plurality of keys, the first sub-gesture being disjoint from the second sub-gesture, wherein at least a portion of the first sub-gesture is performed simultaneously with at least a portion the second sub-gesture; determining, by the computing device and in response to receiving the indication of the first sub-gesture of the first finger and the second sub-gesture of the second finger, a candidate word based at least in part on the first and second groups of keys, wherein the determining comprises: determining, by the computing device and based at least in part on the first sub-gesture of the first finger, a first group of points on the presence-sensitive display traversed by the first sub-gesture; determining, by the computing device and based at least in part on the second sub-gesture of the second finger, a second group of points on the presence-sensitive display traversed by the second sub-gesture; determining, by the computing device and based at least in part on the first and second groups of points on the presence-sensitive display, at least one probability that at least one key included in at least one of the first and second groups of keys is associated with at least one of the first sub-gesture of the first finger and the second sub-gesture of the second finger; and determining, by the computing device, the candidate word based at least in part on the at least one probability that the at least one key is associated with at least one of the first sub-gesture of the first finger and the second sub-gesture of the second finger; and outputting, by the computing device and for display at the presence-sensitive display, the candidate word.
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1. A method comprising: outputting, by a computing device and for display at a presence-sensitive display, a graphical keyboard comprising a plurality of keys; receiving, by the computing device, an indication of a multi-touch gesture detected at the presence-sensitive display, the multi-touch gesture performed by a user having a first finger and a second finger, the multi-touch gesture comprising a first sub-gesture of the first finger that traverses a first group of keys of the plurality of keys and a second sub-gesture of the second finger that traverses a second group of keys of the plurality of keys, the first sub-gesture being disjoint from the second sub-gesture, wherein at least a portion of the first sub-gesture is performed simultaneously with at least a portion the second sub-gesture; determining, by the computing device and in response to receiving the indication of the first sub-gesture of the first finger and the second sub-gesture of the second finger, a candidate word based at least in part on the first and second groups of keys, wherein the determining comprises: determining, by the computing device and based at least in part on the first sub-gesture of the first finger, a first group of points on the presence-sensitive display traversed by the first sub-gesture; determining, by the computing device and based at least in part on the second sub-gesture of the second finger, a second group of points on the presence-sensitive display traversed by the second sub-gesture; determining, by the computing device and based at least in part on the first and second groups of points on the presence-sensitive display, at least one probability that at least one key included in at least one of the first and second groups of keys is associated with at least one of the first sub-gesture of the first finger and the second sub-gesture of the second finger; and determining, by the computing device, the candidate word based at least in part on the at least one probability that the at least one key is associated with at least one of the first sub-gesture of the first finger and the second sub-gesture of the second finger; and outputting, by the computing device and for display at the presence-sensitive display, the candidate word. 16. The method of claim 1 , wherein the first group of keys are associated with a first group of characters, wherein the second group of keys are associated with a second group of characters, and wherein the candidate word comprises characters that are not included in either the first group of characters or the second group of characters, such that the computing device performs auto-correct functionality to output the candidate word.
| 0.620856 |
12. A non-transitory computer readable medium including a sequence of instructions stored thereon for causing a computer to execute a method, comprising: generating a search term entry area operable to allow a user to enter text as a search term; generating a mapping area operable to display data elements on a map, wherein the data elements are representative of searchable data in a database; generating a search result area operable to display a result of a search query; and generating a search criteria tree area operable to allow a user to enter a new search query of the searchable data in response to the user's selection of one or more of the search term from the search term entry area, the data elements from the mapping area, and the result from the search result area, wherein the search criteria tree area enables the user to select the search term from the search term entry area, the data elements from the mapping area, and the result from the search result area for the new search query, and wherein the search term entry area, map area, search results area, and search criteria tree area are displayed together in a single window on a graphical user interface.
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12. A non-transitory computer readable medium including a sequence of instructions stored thereon for causing a computer to execute a method, comprising: generating a search term entry area operable to allow a user to enter text as a search term; generating a mapping area operable to display data elements on a map, wherein the data elements are representative of searchable data in a database; generating a search result area operable to display a result of a search query; and generating a search criteria tree area operable to allow a user to enter a new search query of the searchable data in response to the user's selection of one or more of the search term from the search term entry area, the data elements from the mapping area, and the result from the search result area, wherein the search criteria tree area enables the user to select the search term from the search term entry area, the data elements from the mapping area, and the result from the search result area for the new search query, and wherein the search term entry area, map area, search results area, and search criteria tree area are displayed together in a single window on a graphical user interface. 20. The non-transitory computer readable medium of claim 12 , wherein the map comprises a geographical map.
| 0.75029 |
7. A mobile device for translating text, comprising: a camera for capturing images/video; a display for displaying the captured images/video; at least one processor; and at least one memory, the at least one processor and/or memory being configured for: in response to an image/video being obtained by a camera of the mobile device, displaying the obtained image/video in a display of the mobile device; in response to an image/video being obtained by the camera of the mobile device and a translation option being selected on the mobile device, sending the image/video from the mobile device to an image recognition server for processing the image/video to determine whether the image/video contains a first text string in a first language; in response to receiving from the image recognition server a determination that the image/video contains the first text string in the first language, sending the first text string to a translation server for obtaining a translation of the first text string into a second text string in a second language that has been associated with a user of the mobile device or the mobile device; after the translation of the first text string into the second text string in the second language is obtained, displaying in the display of the mobile device the second text string in the second language transposed over the first text string in the image/video captured by the camera; and as the camera continuously obtains a new image/video, repeating displaying the new image/video, determining whether the new image/video contains a new text string, obtaining a translation for the new text string, and displaying the translation of the new text string transposed over the new text string in the new image/video.
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7. A mobile device for translating text, comprising: a camera for capturing images/video; a display for displaying the captured images/video; at least one processor; and at least one memory, the at least one processor and/or memory being configured for: in response to an image/video being obtained by a camera of the mobile device, displaying the obtained image/video in a display of the mobile device; in response to an image/video being obtained by the camera of the mobile device and a translation option being selected on the mobile device, sending the image/video from the mobile device to an image recognition server for processing the image/video to determine whether the image/video contains a first text string in a first language; in response to receiving from the image recognition server a determination that the image/video contains the first text string in the first language, sending the first text string to a translation server for obtaining a translation of the first text string into a second text string in a second language that has been associated with a user of the mobile device or the mobile device; after the translation of the first text string into the second text string in the second language is obtained, displaying in the display of the mobile device the second text string in the second language transposed over the first text string in the image/video captured by the camera; and as the camera continuously obtains a new image/video, repeating displaying the new image/video, determining whether the new image/video contains a new text string, obtaining a translation for the new text string, and displaying the translation of the new text string transposed over the new text string in the new image/video. 8. A mobile device as recited in claim 7 , the at least one processor and/or memory being further configured for: determining contextual information associated with the first or second text string; and displaying, in the display of the mobile device, the determined contextual information.
| 0.521084 |
23. An article of manufacture comprising a program storage medium readable by a computer and embodying one or more instructions executable by the computer to optimizing execution of a query that accesses data stored on a data store connected to the computer, comprising: using statistics on one or more expressions of one or more pre-defined queries to determine an optimal query execution plan for the query; and executing the optimal query execution plan for the query in order to access the data stored on the data store connected to a computer and then output the accessed data.
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23. An article of manufacture comprising a program storage medium readable by a computer and embodying one or more instructions executable by the computer to optimizing execution of a query that accesses data stored on a data store connected to the computer, comprising: using statistics on one or more expressions of one or more pre-defined queries to determine an optimal query execution plan for the query; and executing the optimal query execution plan for the query in order to access the data stored on the data store connected to a computer and then output the accessed data. 25. The article of claim 23 , further comprising: generating cardinality estimates for one or more query execution plans for the query using the statistics of one or more of the pre-defined queries that vertically overlap the query; and using the generated cardinality estimates to determine an optimal query execution plan for the query.
| 0.506643 |
15. A method comprising: presenting a plurality of prompts requesting information items associated with data describing characteristics of a user of a social networking system including a processor; logging, in a database maintained by the social networking system, a plurality of responses from the user to the plurality of prompts; maintaining a profile for the user in a user profile database maintained by the social networking system, the profile including one or more information items associated with data describing characteristics of the user and a set of unknown information items not associated with data; obtaining a plurality of prompts associated with one or more information items from the set of unknown information items; determining, for each of the plurality of prompts associated with the one or more information items from the set of unknown information items, a response probability based at least in part on one or a combination of a format and content of the prompt, the response probability indicating a likelihood of the social networking system receiving a response to a prompt when presented; determining a data acquisition value for each of a plurality of the unknown information items in the set of unknown information items, the data acquisition value of an unknown information item based at least in part on a value to the social networking system of associating data with the unknown information item and the determined response probability; selecting an unknown information item from the set of unknown information items by the social networking system based at least in part on the data acquisition values; and selecting, by the social networking system, a prompt associated with the selected unknown information item for presentation to the user based at least in part on the response probabilities of one or more prompts associated with the selected unknown information item.
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15. A method comprising: presenting a plurality of prompts requesting information items associated with data describing characteristics of a user of a social networking system including a processor; logging, in a database maintained by the social networking system, a plurality of responses from the user to the plurality of prompts; maintaining a profile for the user in a user profile database maintained by the social networking system, the profile including one or more information items associated with data describing characteristics of the user and a set of unknown information items not associated with data; obtaining a plurality of prompts associated with one or more information items from the set of unknown information items; determining, for each of the plurality of prompts associated with the one or more information items from the set of unknown information items, a response probability based at least in part on one or a combination of a format and content of the prompt, the response probability indicating a likelihood of the social networking system receiving a response to a prompt when presented; determining a data acquisition value for each of a plurality of the unknown information items in the set of unknown information items, the data acquisition value of an unknown information item based at least in part on a value to the social networking system of associating data with the unknown information item and the determined response probability; selecting an unknown information item from the set of unknown information items by the social networking system based at least in part on the data acquisition values; and selecting, by the social networking system, a prompt associated with the selected unknown information item for presentation to the user based at least in part on the response probabilities of one or more prompts associated with the selected unknown information item. 17. The method of claim 15 , wherein the response probability is based at least in part on a historical response rate of the user to requests for information presented by the social networking system.
| 0.724756 |
1. A method of creating a library description file, the method comprising: receiving, at a computing device, a description of one or more locations, said description containing information describing a data source of each of the one or more locations; automatically grouping, at the computing device, a subset of the one or more locations based on predefined criteria into a library, wherein the library is a group of data sources grouped together for simultaneous searching, and wherein the data sources are at different locations; creating, at a computing device, a library description file for the library, wherein said library description file is comprised of information describing the library including a display format element for the library, at least one location element for the library, a library description format, a scope element, a properties element, and a shell link element, wherein the display format element defines formatting of a visual indicia used to represent the library in a user interface and for how search results are presented for search queries performed upon the library, wherein the location element contains methods for communicating within the group of data sources, wherein the library description format is created using a standard library description format and is a XML root element, wherein the scope element provides information related to scopes of the one or more locations associated with the library and exclusions to searchers upon the library, wherein the properties element includes information detailing a format and a syntax required of search queries that are issued to the library, and wherein the shell link element points to the visual indicia representing the library description file; and storing the library description file on a computer-readable medium.
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1. A method of creating a library description file, the method comprising: receiving, at a computing device, a description of one or more locations, said description containing information describing a data source of each of the one or more locations; automatically grouping, at the computing device, a subset of the one or more locations based on predefined criteria into a library, wherein the library is a group of data sources grouped together for simultaneous searching, and wherein the data sources are at different locations; creating, at a computing device, a library description file for the library, wherein said library description file is comprised of information describing the library including a display format element for the library, at least one location element for the library, a library description format, a scope element, a properties element, and a shell link element, wherein the display format element defines formatting of a visual indicia used to represent the library in a user interface and for how search results are presented for search queries performed upon the library, wherein the location element contains methods for communicating within the group of data sources, wherein the library description format is created using a standard library description format and is a XML root element, wherein the scope element provides information related to scopes of the one or more locations associated with the library and exclusions to searchers upon the library, wherein the properties element includes information detailing a format and a syntax required of search queries that are issued to the library, and wherein the shell link element points to the visual indicia representing the library description file; and storing the library description file on a computer-readable medium. 4. The method of claim 1 , wherein the library description file is created using a library description template.
| 0.582857 |
1. An object-oriented graphic system, comprising: (a) a processor; (b) a storage under the control of and attached to the processor; (c) one or more graphic devices under the control of and attached to the processor; (d) a grafport object in the storage of the processor; (e) a graphic device object in the storage of the processor for managing one of the one or more graphic devices; (f) a graphic object in the storage of the processor for managing graphic processing; and (g) means for connecting the graphic device object to the grafport object to output graphic information on the one of the one or more graphic devices under the control of the graphic object.
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1. An object-oriented graphic system, comprising: (a) a processor; (b) a storage under the control of and attached to the processor; (c) one or more graphic devices under the control of and attached to the processor; (d) a grafport object in the storage of the processor; (e) a graphic device object in the storage of the processor for managing one of the one or more graphic devices; (f) a graphic object in the storage of the processor for managing graphic processing; and (g) means for connecting the graphic device object to the grafport object to output graphic information on the one of the one or more graphic devices under the control of the graphic object. 7. A system as recited in claim 1, wherein the grafport object, the graphic device object and the graphic object are fully extensible.
| 0.506887 |
10. A computer-implemented method for reducing user error when constructing a search query, comprising: receiving, by a computing device, a search query without launching a web search for the search query; obtaining, by the computing device, autosuggest candidates having the search query as a common prefix wherein the autosuggest candidates are based, at least in part, on received user preference information corresponding to the search query; generating, by the computing device, truncated autosuggest candidates by removing the search query from the autosuggest candidates; and providing the truncated autosuggest candidates for display.
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10. A computer-implemented method for reducing user error when constructing a search query, comprising: receiving, by a computing device, a search query without launching a web search for the search query; obtaining, by the computing device, autosuggest candidates having the search query as a common prefix wherein the autosuggest candidates are based, at least in part, on received user preference information corresponding to the search query; generating, by the computing device, truncated autosuggest candidates by removing the search query from the autosuggest candidates; and providing the truncated autosuggest candidates for display. 17. The computer-implemented method of claim 10 , further comprising launching a web search for a completed search query constructed from one or more selected truncated autosuggest candidates.
| 0.763004 |
1. A method for annotation of video content in a device communicatively coupled to a network, the method comprising: receiving, in the device, a captured speech segment comprising speech from a user of a second device, wherein the captured speech segment annotates a portion of the video content streamed to the second device for being played to the user contemporaneously with the speech from the user; converting the captured speech segment to a text-segment; associating the text-segment with the portion of the video content contemporaneously played to the user; and storing in a selectively retrievable manner the text-segment so that the text-segment is associated with the portion of the video content.
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1. A method for annotation of video content in a device communicatively coupled to a network, the method comprising: receiving, in the device, a captured speech segment comprising speech from a user of a second device, wherein the captured speech segment annotates a portion of the video content streamed to the second device for being played to the user contemporaneously with the speech from the user; converting the captured speech segment to a text-segment; associating the text-segment with the portion of the video content contemporaneously played to the user; and storing in a selectively retrievable manner the text-segment so that the text-segment is associated with the portion of the video content. 10. The method of claim 1 wherein storing the text-segment further comprises: storing the text-segment and metadata in a database of a storage device communicatively coupled to the network.
| 0.646667 |
1. A method for finding items that are related to a user selected item in a knowledge base, comprising: generating by a processor of a computer three lists including a first list of knowledge base items with a defined relationship to a user selected item in a knowledge base communicatively coupled to the computer, a second list of knowledge base items that belong to the same category as a category of the user selected item, and a third list of knowledge base items having one or more tags identical to one or more tags of the user selected item; selecting by the processor a first set of knowledge base items that are present in all three lists and further selecting by the processor a second set of knowledge base items that are present in only two of the three lists, and yet further selecting by the processor a third set of knowledge base items that are present in only one of the three lists; and displaying in a computer display the first set of knowledge base items as most relevant to the user selected item and displaying in the computer display the second set of knowledge base items as secondarily relevant compared to the knowledge base items present in all three lists and displaying in the computer display the third set of knowledge base items as least relevant compared to the knowledge base items present in all three lists and the knowledge base items present in only two of the three lists.
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1. A method for finding items that are related to a user selected item in a knowledge base, comprising: generating by a processor of a computer three lists including a first list of knowledge base items with a defined relationship to a user selected item in a knowledge base communicatively coupled to the computer, a second list of knowledge base items that belong to the same category as a category of the user selected item, and a third list of knowledge base items having one or more tags identical to one or more tags of the user selected item; selecting by the processor a first set of knowledge base items that are present in all three lists and further selecting by the processor a second set of knowledge base items that are present in only two of the three lists, and yet further selecting by the processor a third set of knowledge base items that are present in only one of the three lists; and displaying in a computer display the first set of knowledge base items as most relevant to the user selected item and displaying in the computer display the second set of knowledge base items as secondarily relevant compared to the knowledge base items present in all three lists and displaying in the computer display the third set of knowledge base items as least relevant compared to the knowledge base items present in all three lists and the knowledge base items present in only two of the three lists. 2. The method of claim 1 , wherein the step of selecting further comprises: selecting by the processor a second set of knowledge base items that are present in only two of the first list, the second list and the third list, and wherein any knowledge base items in the second set are not present in the first set.
| 0.683198 |
1. A method for synchronizing a client having a client database with a server having a server database, the method comprising: calculating at the server database, for a plurality of times and a plurality of clients, a document score for each document in a plurality of documents in the server database, each document score designating an importance relative to other documents of a respective one of the documents to a respective one of the clients at one of the times, each document score indicative of whether the document should be synchronized between the respective client and the server database, wherein calculating the document score includes determining whether a relationship exists between the respective one of the documents and another of the documents in the server database; initiating a synchronization task at one of the clients, the synchronization task for updating documents in the client database to match documents in the server database, the synchronization task specifying a threshold value that indicates the document score value for a document to be synchronized, and identifying the server and the server database for synchronization; sending from the identified server and server database to the client a list of server documents produced based upon a comparison of the threshold value to the document scores; and sending from the client to the identified server a fetch list based upon the list of server documents; transmitting one of the documents in the server database to the client based on the fetch list.
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1. A method for synchronizing a client having a client database with a server having a server database, the method comprising: calculating at the server database, for a plurality of times and a plurality of clients, a document score for each document in a plurality of documents in the server database, each document score designating an importance relative to other documents of a respective one of the documents to a respective one of the clients at one of the times, each document score indicative of whether the document should be synchronized between the respective client and the server database, wherein calculating the document score includes determining whether a relationship exists between the respective one of the documents and another of the documents in the server database; initiating a synchronization task at one of the clients, the synchronization task for updating documents in the client database to match documents in the server database, the synchronization task specifying a threshold value that indicates the document score value for a document to be synchronized, and identifying the server and the server database for synchronization; sending from the identified server and server database to the client a list of server documents produced based upon a comparison of the threshold value to the document scores; and sending from the client to the identified server a fetch list based upon the list of server documents; transmitting one of the documents in the server database to the client based on the fetch list. 10. The method of claim 1 wherein the client database includes a plurality of client documents, the method further comprising designating for deletion one of the client documents based on a document score of a complementary document in the server database.
| 0.570452 |
17. A method for restructuring a relational database comprising the steps of: a) extracting an attribute set of candidate keys and non-key attributes except for the candidate keys from a relation to be restructured; b) forming a plurality of combinations between a proper subset of the candidate keys extracted in said step a) and a subset of said non-key attributes; c) checking, with reference to values of tuples which are present in said relation, whether said subset of non-key attributes is functionally dependent on said proper subset of candidate keys in each of the combinations formed in said step b), and storing a determination result as dependency information, and storing attribute information representing the determination result; and d) dividing said relation into a relation generated by a projection to an attribute set having a functional dependency and a relation generated by a projection to an attribute set of attributes except for non-key attributes having a functional dependency in accordance with said dependency information; e) checking whether said relation generated by said division in said step d) has at least two non-key attributes., and executing said formation step b), said determination step c) and said division step d) automatically on said relation when said relation has at least two non-key attributes.
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17. A method for restructuring a relational database comprising the steps of: a) extracting an attribute set of candidate keys and non-key attributes except for the candidate keys from a relation to be restructured; b) forming a plurality of combinations between a proper subset of the candidate keys extracted in said step a) and a subset of said non-key attributes; c) checking, with reference to values of tuples which are present in said relation, whether said subset of non-key attributes is functionally dependent on said proper subset of candidate keys in each of the combinations formed in said step b), and storing a determination result as dependency information, and storing attribute information representing the determination result; and d) dividing said relation into a relation generated by a projection to an attribute set having a functional dependency and a relation generated by a projection to an attribute set of attributes except for non-key attributes having a functional dependency in accordance with said dependency information; e) checking whether said relation generated by said division in said step d) has at least two non-key attributes., and executing said formation step b), said determination step c) and said division step d) automatically on said relation when said relation has at least two non-key attributes. 24. A method according to claim 17, wherein the method further comprises a step of detecting a null value in values of said tuples and eliminating an attribute corresponding to said null value from a relation to be restructured.
| 0.695159 |
1. An automated, computer implemented method of electronically processing a document stored in a memory of a computer, said document containing text represented by characters, said method comprising the steps of: a) using the computer, automatically determining a frequency of occurrence of expressions in the document not contained in a stop list and having at least a first predetermined level of complexity, said stop list stored in the memory of said computer; b) using the computer, automatically forming a seed list comprised of a second predetermined number of the most frequently occurring expressions determined in step (a), said seed list stored in said memory of said computer; c) using said computer, automatically forming a summary of the document comprised of regions in the document containing at least two members of said seed list, said summary stored in said memory of said computer; and d) using said computer, automatically repeating steps (a)-(c) on said summary until a length of said summary is no greater than a predetermined length, each time steps (a)-(c) are repeated, adding the members of said seed list to said stop list and reducing said first predetermined level of complexity.
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1. An automated, computer implemented method of electronically processing a document stored in a memory of a computer, said document containing text represented by characters, said method comprising the steps of: a) using the computer, automatically determining a frequency of occurrence of expressions in the document not contained in a stop list and having at least a first predetermined level of complexity, said stop list stored in the memory of said computer; b) using the computer, automatically forming a seed list comprised of a second predetermined number of the most frequently occurring expressions determined in step (a), said seed list stored in said memory of said computer; c) using said computer, automatically forming a summary of the document comprised of regions in the document containing at least two members of said seed list, said summary stored in said memory of said computer; and d) using said computer, automatically repeating steps (a)-(c) on said summary until a length of said summary is no greater than a predetermined length, each time steps (a)-(c) are repeated, adding the members of said seed list to said stop list and reducing said first predetermined level of complexity. 15. The method of claim 1, further comprising including in a final summary of said document, any regions located in a first and a last paragraph of said document, and contained in a summary of the document a first time step (c) is performed by said computer.
| 0.673767 |
1. A computer-implemented expert system including: a memory for: storing a plurality of hypotheses, where the hypotheses are arranged in at least a first and second disjoint group of hypotheses, wherein the first group of hypotheses includes hypotheses that may be taken by the system and the second group includes hypotheses that may not be taken by the system; and storing questions for rejecting hypotheses of the second group; an output for supplying questions from the memory; an input for receiving initial data and answers to outputted questions; a processor programmed to: select questions from the stored questions for those hypotheses from the second group that are possible in dependence on the initial data; determine from at least one answer received in response to outputting the selected questions whether at least one of the hypotheses of the second group is possible by comparing received answers to a predetermined answer sequence stored in or derivable from the memory; and in response to determining that no hypothesis of the second group is possible, supply via the output a most likely hypothesis of the first group in dependence on at least the initial data, wherein the expert system is used for medical diagnosis, the initial data includes a health complaint, the second group of hypotheses containing medical diagnoses that require attention of a medical expert, the first group of hypotheses containing medical diagnoses that do not require any medical attention or can be cured or treated without assistance of a medical expert, and the processor is programmed to select the questions in dependence on the health complaint.
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1. A computer-implemented expert system including: a memory for: storing a plurality of hypotheses, where the hypotheses are arranged in at least a first and second disjoint group of hypotheses, wherein the first group of hypotheses includes hypotheses that may be taken by the system and the second group includes hypotheses that may not be taken by the system; and storing questions for rejecting hypotheses of the second group; an output for supplying questions from the memory; an input for receiving initial data and answers to outputted questions; a processor programmed to: select questions from the stored questions for those hypotheses from the second group that are possible in dependence on the initial data; determine from at least one answer received in response to outputting the selected questions whether at least one of the hypotheses of the second group is possible by comparing received answers to a predetermined answer sequence stored in or derivable from the memory; and in response to determining that no hypothesis of the second group is possible, supply via the output a most likely hypothesis of the first group in dependence on at least the initial data, wherein the expert system is used for medical diagnosis, the initial data includes a health complaint, the second group of hypotheses containing medical diagnoses that require attention of a medical expert, the first group of hypotheses containing medical diagnoses that do not require any medical attention or can be cured or treated without assistance of a medical expert, and the processor is programmed to select the questions in dependence on the health complaint. 3. An expert system as claimed in claim 1 , wherein the processor is programmed to supply via the output an indication that no hypothesis can be made in response to determining that at least one hypothesis of the second group is possible.
| 0.589484 |
1. A method for recording, categorizing, organizing, managing and retrieving speech information, said method comprising, a. obtaining a speech stream, b. storing the speech stream in at least a temporary storage, c. extracting multiple, selected features from the speech stream, wherein the multiple features include the speaker's identity or location, duration of speech phrases, and pauses in speaking, d. constructing a visual representation of the selected features of the speech stream, e. providing the visual representation to a user, f. categorizing portions of the speech stream, with or without the aid of the representation, by at least one of the following categorization techniques: user command and, automatic recognition of speech qualities, including tempo, fundamental pitch, and phonemes, and g. storing, in at least a temporary storage, data structure which represents the categorized portions of the speech stream.
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1. A method for recording, categorizing, organizing, managing and retrieving speech information, said method comprising, a. obtaining a speech stream, b. storing the speech stream in at least a temporary storage, c. extracting multiple, selected features from the speech stream, wherein the multiple features include the speaker's identity or location, duration of speech phrases, and pauses in speaking, d. constructing a visual representation of the selected features of the speech stream, e. providing the visual representation to a user, f. categorizing portions of the speech stream, with or without the aid of the representation, by at least one of the following categorization techniques: user command and, automatic recognition of speech qualities, including tempo, fundamental pitch, and phonemes, and g. storing, in at least a temporary storage, data structure which represents the categorized portions of the speech stream. 19. The method defined in claim 1 wherein the categorizing includes automatically detecting and recording and visually displaying the speaker's identity, pauses, non-speech sounds, emphasis, laughter, or pre-selected key words as pre-programmed by a user.
| 0.630712 |
11. A method for creating a term index for use in ranking results of a search of a plurality of pages in an intranet, each page comprising a plurality of terms arranged in a hierarchical structure, the method comprising acts of: (A) parsing the plurality of pages to identify the plurality of terms, wherein at least one page of the plurality of pages comprises a plurality of instances of a term of the plurality of terms; (B) for each of the plurality of pages: (i) automatically computing, for each instance of each identified term, a specificity value of the instance based upon a combination of a tag parameter associated with the instance and a term level of the instance within the hierarchical structure of the page, the term level being measured from a root tag of the page; (ii) combining, for each identified term, the computed specificity value of the instances of the identified term within the page to produce a combined specificity value for the identified term; and (iii) storing in the term index for each identified term, the page in which the identified term appears, and information identifying the identified term in conjunction with information indicating the combined specificity value for the identified term.
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11. A method for creating a term index for use in ranking results of a search of a plurality of pages in an intranet, each page comprising a plurality of terms arranged in a hierarchical structure, the method comprising acts of: (A) parsing the plurality of pages to identify the plurality of terms, wherein at least one page of the plurality of pages comprises a plurality of instances of a term of the plurality of terms; (B) for each of the plurality of pages: (i) automatically computing, for each instance of each identified term, a specificity value of the instance based upon a combination of a tag parameter associated with the instance and a term level of the instance within the hierarchical structure of the page, the term level being measured from a root tag of the page; (ii) combining, for each identified term, the computed specificity value of the instances of the identified term within the page to produce a combined specificity value for the identified term; and (iii) storing in the term index for each identified term, the page in which the identified term appears, and information identifying the identified term in conjunction with information indicating the combined specificity value for the identified term. 12. The method of claim 11 , wherein the tag parameter of an identified term is associated with a tag type of a tag associated with the identified term.
| 0.77182 |
10. The method according to claim 7 , wherein the message broker is further arranged to create, in response to receiving a message not associated with the sequence, a new topic associated with the message not associated with the sequence and subscribe the new subscriber to the new topic.
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10. The method according to claim 7 , wherein the message broker is further arranged to create, in response to receiving a message not associated with the sequence, a new topic associated with the message not associated with the sequence and subscribe the new subscriber to the new topic. 12. The message broker according to claim 10 , wherein the message broker is further arranged to determine, for a message received on the topic, whether to publish the message on the topic or on the new topic.
| 0.881381 |
1. A machine-implemented method comprising: pruning redundancy of instances in a plurality of speech segments, wherein the redundancy criterion is based on a similarity measure between feature vectors derived from a machine perception transformation of time-domain samples corresponding to the instances in the plurality of speech segments, wherein the instances subjected to redundancy pruning are clustered together with feature vectors discernably separated from each other in the machine perception transformation and wherein the machine perception transformation is correlated with human perception by using the time-domain samples retaining both amplitude and phase information of the speech segments, which were provided in sound data for a speech synthesis system.
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1. A machine-implemented method comprising: pruning redundancy of instances in a plurality of speech segments, wherein the redundancy criterion is based on a similarity measure between feature vectors derived from a machine perception transformation of time-domain samples corresponding to the instances in the plurality of speech segments, wherein the instances subjected to redundancy pruning are clustered together with feature vectors discernably separated from each other in the machine perception transformation and wherein the machine perception transformation is correlated with human perception by using the time-domain samples retaining both amplitude and phase information of the speech segments, which were provided in sound data for a speech synthesis system. 2. The machine-implemented method of claim 1 wherein the instances are the instances of a phoneme, a diphone, a syllable, a word, or a sequence unit and wherein a first set of the instances subjected to redundancy pruning are clustered with a first feature vector and a second set of the instances subjected to redundancy pruning are clustered with a second feature vector that is discernably separated from the first feature vector.
| 0.747983 |
13. The spam avatar identification system as defined in claim 12 , further comprising a spam avatar identification table storable in the memory unit and executable by the virtual universe processing unit, the spam avatar identification table configured to store a unique identifier of known spam avatars.
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13. The spam avatar identification system as defined in claim 12 , further comprising a spam avatar identification table storable in the memory unit and executable by the virtual universe processing unit, the spam avatar identification table configured to store a unique identifier of known spam avatars. 14. The spam avatar identification system as defined in claim 13 , further comprising a behavior characteristic of known spam avatars table storable in the memory unit and executable by the virtual universe processing unit, the spam avatar identification table configured to store behavior characteristics of known spam avatars.
| 0.867702 |
5. The system as recited in claim 1 , further comprising: a personality agent configured as processor-readable software code stored on a processor readable medium, and wherein said brain agent is further adapted to selectively interact with said personality agent to interpret the input query and provide output in response to the input query.
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5. The system as recited in claim 1 , further comprising: a personality agent configured as processor-readable software code stored on a processor readable medium, and wherein said brain agent is further adapted to selectively interact with said personality agent to interpret the input query and provide output in response to the input query. 6. The system as recited in claim 5 , further comprising: a connector, the connector being embodied as processor-readable software code stored on a processor-readable medium, the connector being configured to facilitate selective interaction with the personality agent with one of an external data structure and an external intelligent system.
| 0.86918 |
7. A multi-source search data processing system configured for multi-source searching for a data driven application, the system comprising: a host computer comprising memory and at least one processor; an application server executing in the host computer; a composition tool hosted by the application server, the composition tool defining a form for a data driven application, the form comprising a plurality of user interface controls corresponding to respectively to different fields in different data sources, generating a single search index for the form, the single search index including the different fields referenced in the form and also at least one data operation for the different fields referenced in the form, and coupling the form with a search user interface comprising a search control configured to accept at least one query term, the search control comprising a text control configured to link to one or more of the different fields of the single search index; and, a search service, the search service directing during execution of the data driven application in the application server a search engine query of the selection of the different fields in the single search index and not the different data sources according to the at least one query term provided in the search user interface without first requiring a join operation joining the different data sources.
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7. A multi-source search data processing system configured for multi-source searching for a data driven application, the system comprising: a host computer comprising memory and at least one processor; an application server executing in the host computer; a composition tool hosted by the application server, the composition tool defining a form for a data driven application, the form comprising a plurality of user interface controls corresponding to respectively to different fields in different data sources, generating a single search index for the form, the single search index including the different fields referenced in the form and also at least one data operation for the different fields referenced in the form, and coupling the form with a search user interface comprising a search control configured to accept at least one query term, the search control comprising a text control configured to link to one or more of the different fields of the single search index; and, a search service, the search service directing during execution of the data driven application in the application server a search engine query of the selection of the different fields in the single search index and not the different data sources according to the at least one query term provided in the search user interface without first requiring a join operation joining the different data sources. 11. The system of claim 7 , further comprising a form service executing in the application server, the form service updating data in the different fields of the single search index responsive to a data access operation directed in the form during the execution of the data driven application.
| 0.5 |
1. A dictionary generation device comprising: a determination unit configured to (A) refer to an item database that stores a plurality of records containing an item name and/or item description including a noun, a noun phrase or a noun sequence being a sequence of nouns or noun phrases, an item category, and a shop selling the item as fields and determine whether the noun sequence included in the item name and/or item description of each record is set corresponding to the item category, (B) count the number of selling shops in a record containing the noun sequence set corresponding to the item category for each item category and calculate a shop intensity of each noun sequence set corresponding to the item category based on the counted number of selling shops, (C) determine whether one item category uniquely derived from the noun sequence exists based on the shop intensity for each item category, and (D) determine the noun sequence as a definitive category word when the one item category exists; and a registration unit configured to store dictionary information where the definitive category word and the uniquely derived item category are associated with each other into a dictionary database.
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1. A dictionary generation device comprising: a determination unit configured to (A) refer to an item database that stores a plurality of records containing an item name and/or item description including a noun, a noun phrase or a noun sequence being a sequence of nouns or noun phrases, an item category, and a shop selling the item as fields and determine whether the noun sequence included in the item name and/or item description of each record is set corresponding to the item category, (B) count the number of selling shops in a record containing the noun sequence set corresponding to the item category for each item category and calculate a shop intensity of each noun sequence set corresponding to the item category based on the counted number of selling shops, (C) determine whether one item category uniquely derived from the noun sequence exists based on the shop intensity for each item category, and (D) determine the noun sequence as a definitive category word when the one item category exists; and a registration unit configured to store dictionary information where the definitive category word and the uniquely derived item category are associated with each other into a dictionary database. 16. The dictionary generation device according to claim 1 , wherein when there is only one item category where the shop intensity is higher than a first threshold, the determination unit determines that one item category uniquely derived from the noun sequence exists and determines the noun sequence as a Type 1 definitive category word of the item category, when there are a plurality of item categories where the shop intensity is higher than the first threshold, the determination unit determines the noun sequence as a Type 2 definitive category word with less definitiveness of the item category than the Type 1 definitive category word or a reference word with less definitiveness of the item category than the Type 2 definitive category word for each of the plurality of item categories, and the registration unit stores dictionary information where the Type 1 definitive category word, the Type 2 definitive category word or the reference word and the item category are associated with each other into the dictionary database.
| 0.5 |
1. A synergetic training device comprising soundproof booths equipped with teaching means and technical means; a lighting line and a sensor system comprising sensors, said device being controlled with a central manual control panel through cables and with an outer computer of a central control unit through a combined wire and wireless method, wherein the sensor system further comprises photonic elements with microcircuits produced by printing in conducting inks on a flexible substrate, said photonic elements being firmly fixed on a suspended floor and controlled in two ways: independently by a special processor of the photonic elements using internal wire/wireless connections, and concurrently by the outer computer of the central control unit using a wireless connection; wherein said device has a roof with a lighting system comprising photonic lamps; drives; microcircuits of the photonic elements; and the outer computer of the central control unit; wherein the booths are sphere segments combined in a circle consisting of two work elements, a central element and an outer element, wherein the central element comprises an inner metal wheel and a central part of the suspended floor with the photonic elements, central parts of soundproof partitions between the booths and an inner row of seats all firmly fixed to said inner metal wheel, and the outer element comprises an outer metal wheel and an outer part of the suspended floor with the photonic elements, the outer parts of the soundproof partitions and an outer row of seats, tables with raising tops and technical means all firmly fixed to said outer metal wheel, wherein said work elements can rotate independently in a predetermined mode, and when one work element rotates, the other remains stationary; and wherein each of said booths comprises a set of technical means including at least one of the following: a set of audio means, a personal computer, and a common training apparatus including a control panel and a display.
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1. A synergetic training device comprising soundproof booths equipped with teaching means and technical means; a lighting line and a sensor system comprising sensors, said device being controlled with a central manual control panel through cables and with an outer computer of a central control unit through a combined wire and wireless method, wherein the sensor system further comprises photonic elements with microcircuits produced by printing in conducting inks on a flexible substrate, said photonic elements being firmly fixed on a suspended floor and controlled in two ways: independently by a special processor of the photonic elements using internal wire/wireless connections, and concurrently by the outer computer of the central control unit using a wireless connection; wherein said device has a roof with a lighting system comprising photonic lamps; drives; microcircuits of the photonic elements; and the outer computer of the central control unit; wherein the booths are sphere segments combined in a circle consisting of two work elements, a central element and an outer element, wherein the central element comprises an inner metal wheel and a central part of the suspended floor with the photonic elements, central parts of soundproof partitions between the booths and an inner row of seats all firmly fixed to said inner metal wheel, and the outer element comprises an outer metal wheel and an outer part of the suspended floor with the photonic elements, the outer parts of the soundproof partitions and an outer row of seats, tables with raising tops and technical means all firmly fixed to said outer metal wheel, wherein said work elements can rotate independently in a predetermined mode, and when one work element rotates, the other remains stationary; and wherein each of said booths comprises a set of technical means including at least one of the following: a set of audio means, a personal computer, and a common training apparatus including a control panel and a display. 2. The device according to claim 1 comprising four four-seat booths, wherein in each of said booths one seat of the inner row faces three seats of the outer row, and at least one place in each booth is provided with a set of technical means comprising: audio means and a personal computer.
| 0.717899 |
11. A puzzle comprising: a first set of pieces representing a known set of characters wherein each of the pieces has a cut-out section; a second set of pieces representing the known set of characters wherein the first set is related to the second set and further wherein each one of the second set of pieces is insertable into the cut-out section in a corresponding one of the first set of pieces: a third set of pieces unrelated to the first set and the second set of pieces wherein the first set of pieces are insertable in an opening in the third set of pieces; and interengaging mating edges defining a periphery of each of the third set of pieces wherein the third set of pieces are connectable to arrange the first set of pieces and the second set of pieces in a known order for the known set.
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11. A puzzle comprising: a first set of pieces representing a known set of characters wherein each of the pieces has a cut-out section; a second set of pieces representing the known set of characters wherein the first set is related to the second set and further wherein each one of the second set of pieces is insertable into the cut-out section in a corresponding one of the first set of pieces: a third set of pieces unrelated to the first set and the second set of pieces wherein the first set of pieces are insertable in an opening in the third set of pieces; and interengaging mating edges defining a periphery of each of the third set of pieces wherein the third set of pieces are connectable to arrange the first set of pieces and the second set of pieces in a known order for the known set. 13. The puzzle of claim 11 wherein the first set of pieces represents upper case letters of an alphabet from the known set of characters.
| 0.564953 |
9. The apparatus according to claim 1 , further comprising a delay unit that computes a first difference by subtracting a second time point at which the source speech is received from a first time point at which the translated speech is determined to have been generated in all of the target languages, and delays output of the translated speech and the source speech until the first threshold time has passed since the second time point, when the computed first difference is less than a first threshold time determined in advance, wherein the output unit outputs the translated speech and the source speech after the delay unit delays the reproduction.
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9. The apparatus according to claim 1 , further comprising a delay unit that computes a first difference by subtracting a second time point at which the source speech is received from a first time point at which the translated speech is determined to have been generated in all of the target languages, and delays output of the translated speech and the source speech until the first threshold time has passed since the second time point, when the computed first difference is less than a first threshold time determined in advance, wherein the output unit outputs the translated speech and the source speech after the delay unit delays the reproduction. 13. The apparatus according to claim 9 , wherein the delay unit computes the first difference for each of a predetermined number of second speech durations of which the translated speech and the source speech have been output before a first speech duration of which the translated speech has been generated in all of the target languages, computes a product of an average of first differences and a predetermined coefficient, and delays reproduction of the first speech duration of the translated speech and the source speech until the first threshold time has passed since the second time point, when the product is less than the first difference.
| 0.670006 |
1. A computer-implemented method for providing a community-based content environment, the method comprising: providing an element associated with content related to a community topic to a moderator, wherein the moderator is at least one user that is assigned a level allowing access to at least most community tools available for use in a community and that is charged with managing at least one of (i) elements of the community or (ii) users of the community; receiving an instruction from the moderator to include the element in the community-based content environment; receiving element attributes associated with the element, the element attributes comprising a comment from a user, a rating, search properties, and a label identifying a sub-topic of the community topic, wherein the search properties are associated with at least one of the content, the rating, the comment, or the label; performing, by processor executing code stored on a non-transitory computer-readable storage medium, a content management function after receiving an instruction from the moderator to perform the content management function, the content management function comprising modifying the element or element attributes; receiving a search request regarding the community topic from a software application over a network, the search request comprising an identification of at least one of the search properties to search; outputting the element and at least part of the element attributes to the software application over the network in response to the search request; and disconnecting the software application from the community-based content environment, wherein the element and at least part of the element attributes are adapted to be accessed by the software application after disconnecting from the community-based content environment.
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1. A computer-implemented method for providing a community-based content environment, the method comprising: providing an element associated with content related to a community topic to a moderator, wherein the moderator is at least one user that is assigned a level allowing access to at least most community tools available for use in a community and that is charged with managing at least one of (i) elements of the community or (ii) users of the community; receiving an instruction from the moderator to include the element in the community-based content environment; receiving element attributes associated with the element, the element attributes comprising a comment from a user, a rating, search properties, and a label identifying a sub-topic of the community topic, wherein the search properties are associated with at least one of the content, the rating, the comment, or the label; performing, by processor executing code stored on a non-transitory computer-readable storage medium, a content management function after receiving an instruction from the moderator to perform the content management function, the content management function comprising modifying the element or element attributes; receiving a search request regarding the community topic from a software application over a network, the search request comprising an identification of at least one of the search properties to search; outputting the element and at least part of the element attributes to the software application over the network in response to the search request; and disconnecting the software application from the community-based content environment, wherein the element and at least part of the element attributes are adapted to be accessed by the software application after disconnecting from the community-based content environment. 3. The computer-implemented method of claim 1 , wherein the label is selected from a plurality of labels on a pre-set label list, the plurality of labels being received from the moderator.
| 0.599079 |
1. A method of enabling input into a handheld electronic device that comprises an input apparatus, an output apparatus, and a memory having stored therein a plurality of objects including a plurality of language objects, the input apparatus comprising a plurality of input members, at least some of the input members each having a plurality of characters assigned thereto, the method comprising: detecting an ambiguous input comprising a number of actuations of the input members; determining that one of the actuations is an actuation of an input member having assigned thereto a symbol from among a number of predetermined symbols; employing the one of the actuations as a delimiter input to delimit the actuations that precede the one of the actuations; and seeking a language object that corresponds with the delimited actuations that precede the one of the actuations.
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1. A method of enabling input into a handheld electronic device that comprises an input apparatus, an output apparatus, and a memory having stored therein a plurality of objects including a plurality of language objects, the input apparatus comprising a plurality of input members, at least some of the input members each having a plurality of characters assigned thereto, the method comprising: detecting an ambiguous input comprising a number of actuations of the input members; determining that one of the actuations is an actuation of an input member having assigned thereto a symbol from among a number of predetermined symbols; employing the one of the actuations as a delimiter input to delimit the actuations that precede the one of the actuations; and seeking a language object that corresponds with the delimited actuations that precede the one of the actuations. 3. The method of claim 1 , further comprising determining that no language object in the memory corresponds with the ambiguous input and, responsive thereto, initiating the determining that one of the actuations is an actuation of an input member having assigned thereto a symbol from among a number of predetermined symbols.
| 0.686538 |
9. A guidance system as recited in claim 8 wherein said second selection means includes means for selecting a control output linguistic variable according to a set of logical rules.
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9. A guidance system as recited in claim 8 wherein said second selection means includes means for selecting a control output linguistic variable according to a set of logical rules. 10. A guidance system as recited in claim 9 wherein said first selection means assigns a value to each selected sensed linguistic variable in response to the magnitude of said first and second sensed variable signals and said second selection means scales each control output membership function in response to the assigned value.
| 0.885768 |
13. A computing device comprising: a display; one or more processors; and one or more computer-readable media including instructions that, when executed by the one or more processors, program the one or more processors to: present, on the display, a first portion of content of an electronic version of a content item; receive, via a user interface, a first page label associated with a print version of the content item; determine, based at least in part on a data object, a first position in the content associated with the first page label, wherein the data object indicates associations between page labels from the print version and positions of respective portions of content in the electronic version; present, on the display, a second portion of content of the electronic version corresponding to the first position; receive a selection of a third portion of content of the electronic version as a selected portion; generate a textual citation corresponding to the selected portion; determine, from the data object, based at least in part on a second position associated with the selected portion, a second page label associated with the selected portion; and present the textual citation associated with selected portion, the textual citation including the second page label.
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13. A computing device comprising: a display; one or more processors; and one or more computer-readable media including instructions that, when executed by the one or more processors, program the one or more processors to: present, on the display, a first portion of content of an electronic version of a content item; receive, via a user interface, a first page label associated with a print version of the content item; determine, based at least in part on a data object, a first position in the content associated with the first page label, wherein the data object indicates associations between page labels from the print version and positions of respective portions of content in the electronic version; present, on the display, a second portion of content of the electronic version corresponding to the first position; receive a selection of a third portion of content of the electronic version as a selected portion; generate a textual citation corresponding to the selected portion; determine, from the data object, based at least in part on a second position associated with the selected portion, a second page label associated with the selected portion; and present the textual citation associated with selected portion, the textual citation including the second page label. 14. The computing device as recited in claim 13 , wherein the instructions further program the one or more processors to: receive the electronic version; and receive the data object, wherein the data object is separate from the content of the electronic version.
| 0.783166 |
18. A computer-implemented method comprising: at a server having one or more processors and memory storing one or more programs for execution by the one or more processors, collecting product reviews for a plurality of products, wherein a respective product review provides a critical, subjective evaluation of a corresponding product by a human in electronic form; automatically identifying particular products that are associated with particular product reviews; for each particular product in at least a subset of the plurality of products, automatically generating aggregated review information for the particular product including frequently appearing phrases in product reviews associated with the particular product; automatically storing the product reviews and the aggregated review information; receiving a request from a client for an aggregated review of a product, the aggregated review of the product including portions of extracted product reviews of the product; and sending the aggregated review of the product in response to the request, wherein the aggregated review of the product includes a list of server-suggested search terms that are automatically selected from extracted product reviews of the product in accordance with their respective weighted occurrences in the extracted product reviews of the product.
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18. A computer-implemented method comprising: at a server having one or more processors and memory storing one or more programs for execution by the one or more processors, collecting product reviews for a plurality of products, wherein a respective product review provides a critical, subjective evaluation of a corresponding product by a human in electronic form; automatically identifying particular products that are associated with particular product reviews; for each particular product in at least a subset of the plurality of products, automatically generating aggregated review information for the particular product including frequently appearing phrases in product reviews associated with the particular product; automatically storing the product reviews and the aggregated review information; receiving a request from a client for an aggregated review of a product, the aggregated review of the product including portions of extracted product reviews of the product; and sending the aggregated review of the product in response to the request, wherein the aggregated review of the product includes a list of server-suggested search terms that are automatically selected from extracted product reviews of the product in accordance with their respective weighted occurrences in the extracted product reviews of the product. 23. The method of claim 18 , wherein the identifying a particular product that is associated with particular product reviews comprises associating a brand name and a model number in the particular product reviews with a particular product.
| 0.551247 |
11. A system comprising: a data processing apparatus; and a data store coupled to the data processing apparatus, in which is stored: an application-independent input method editor configured to receive input for a plurality of applications executable by an electronic device, the application-independent input method editor operable to: receive spoken input from a user of the electronic device in an application of the plurality of applications; determine a category for the application; provide the spoken input and data that indicates the application category to a server that includes a speech recognition system configured to select one or more language models to generate text based on the spoken input, wherein the one or more language models are selected based on the data that indicates the application category; receive text from the server, wherein the text represents a transcription of the spoken input; and provide the text as input to the application.
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11. A system comprising: a data processing apparatus; and a data store coupled to the data processing apparatus, in which is stored: an application-independent input method editor configured to receive input for a plurality of applications executable by an electronic device, the application-independent input method editor operable to: receive spoken input from a user of the electronic device in an application of the plurality of applications; determine a category for the application; provide the spoken input and data that indicates the application category to a server that includes a speech recognition system configured to select one or more language models to generate text based on the spoken input, wherein the one or more language models are selected based on the data that indicates the application category; receive text from the server, wherein the text represents a transcription of the spoken input; and provide the text as input to the application. 22. The system of claim 11 , wherein the one or more language models are further selected based on one or more utterances in the spoken input.
| 0.642136 |
1. A computer implemented method for integrating domain information and semantic parsing to generate meaning representations from natural language input, the method being implemented on a computer system having one or more physical processors programmed with computer program instructions to perform the method, the method comprising: receiving, by the computer system, a natural language input of a user comprising a natural language utterance in which at least a first input token has been uttered; providing, by the computer system, the natural language input to a speech-to-text recognizer; obtaining, by the computer system, one or more words of the natural language input as an output of the speech-to-text recognition recognizer, wherein the one or more words includes the first input token; obtaining, by the computer system, a semantic grammar that includes word combinations for intent processing and integrates a plurality of domain tokens relating to an information domain, wherein the semantic grammar integrates the plurality of domain tokens structured into a domain information Finite State Transducer (FST) parser that includes at least a first FST path comprising a first set of domain tokens and a second FST path comprising a second set of domain tokens; comparing, by the computer system, the plurality of domain tokens that match the first input token; generating, by the computer system, a first score for the first FST path and a second score for the second FST path based on the comparison; selecting, by the computer system, the first FST path based on the first score and the second score; determining, by the computer system, a semantic structure of the one or more words based on the selected first FST path; and generating, by the computer system, a representation of an intention of the user based on the semantic structure, wherein the representation is used to execute a natural language based search request or a natural language based command.
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1. A computer implemented method for integrating domain information and semantic parsing to generate meaning representations from natural language input, the method being implemented on a computer system having one or more physical processors programmed with computer program instructions to perform the method, the method comprising: receiving, by the computer system, a natural language input of a user comprising a natural language utterance in which at least a first input token has been uttered; providing, by the computer system, the natural language input to a speech-to-text recognizer; obtaining, by the computer system, one or more words of the natural language input as an output of the speech-to-text recognition recognizer, wherein the one or more words includes the first input token; obtaining, by the computer system, a semantic grammar that includes word combinations for intent processing and integrates a plurality of domain tokens relating to an information domain, wherein the semantic grammar integrates the plurality of domain tokens structured into a domain information Finite State Transducer (FST) parser that includes at least a first FST path comprising a first set of domain tokens and a second FST path comprising a second set of domain tokens; comparing, by the computer system, the plurality of domain tokens that match the first input token; generating, by the computer system, a first score for the first FST path and a second score for the second FST path based on the comparison; selecting, by the computer system, the first FST path based on the first score and the second score; determining, by the computer system, a semantic structure of the one or more words based on the selected first FST path; and generating, by the computer system, a representation of an intention of the user based on the semantic structure, wherein the representation is used to execute a natural language based search request or a natural language based command. 2. The method of claim 1 , wherein the first score is based on a first sum of weights of each domain token among the first set of domain tokens and the second score is based on a second sum of weights of each domain token among the second set of domain tokens, and wherein a given weight for a domain token is based on a level of frequency that the domain token appears in the information domain.
| 0.509361 |
13. A method for developing software to operate a processor-based system which includes a plurality of cooperatively operative subsystem elements, using at least one computing apparatus, having at least one terminal, for enabling users to input data to said computing apparatus, comprising the steps of: inputting data using an icon-based language which displays icon representations of said subsystem elements for manipulation by said users on said terminal to define interrelationships of said plurality of subsystem elements that comprise said processor-based system; inputting data using a data modeling apparatus to define a set of logical attributes of said subsystem elements, said set of logical attributes independent of a physical implementation of said subsystem elements such that said data modeling apparatus provides a data-centered representation of said software; and translating said defined interrelationships of said subsystem elements and said set of logical attributes of said subsystem elements into a set of statements using an intermediate text non-source code language, incapable of being directly used to operate a processor, representative of said software required to operate said processor-based system.
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13. A method for developing software to operate a processor-based system which includes a plurality of cooperatively operative subsystem elements, using at least one computing apparatus, having at least one terminal, for enabling users to input data to said computing apparatus, comprising the steps of: inputting data using an icon-based language which displays icon representations of said subsystem elements for manipulation by said users on said terminal to define interrelationships of said plurality of subsystem elements that comprise said processor-based system; inputting data using a data modeling apparatus to define a set of logical attributes of said subsystem elements, said set of logical attributes independent of a physical implementation of said subsystem elements such that said data modeling apparatus provides a data-centered representation of said software; and translating said defined interrelationships of said subsystem elements and said set of logical attributes of said subsystem elements into a set of statements using an intermediate text non-source code language, incapable of being directly used to operate a processor, representative of said software required to operate said processor-based system. 24. The method of claim 13 wherein said intermediate text non-source code language comprises a language using Backus-Naur form notation.
| 0.60454 |
1. An information processing apparatus having a gesture editing function comprising: a display screen for displaying document information; position indicating means for indicating a position on said display screen; position detecting means for detecting a coordinate of a handwritten point or coordinates of a handwritten line drawing on said display screen, the handwritten point or line drawing being drawn using said position indicating means; first memory means for storing a plurality of different coordinate systems used in computing a position of a displayed character or character string, wherein a position of a point of origin on the display screen of each different coordinate system differs depending on the coordinate system; second memory means for storing reference strokes and edit instructions so as to have an association between each pair of reference strokes and edit instructions; gesture judging means for judging a given edit instruction based on a result of a comparison between a shape of the handwritten line drawing and the reference stroke stared in said second memory means when an editing position for editing the document information is specified by the handwritten line drawing; position computing means for selecting one of the different coordinate systems from said first memory means based on the given edit instruction and for computing a position of a character or character string corresponding to the editing position using a coordinate of the handwritten line drawing and the selected coordinate system; and document editing means for editing a character or character string at the computed position based on the given edit instruction.
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1. An information processing apparatus having a gesture editing function comprising: a display screen for displaying document information; position indicating means for indicating a position on said display screen; position detecting means for detecting a coordinate of a handwritten point or coordinates of a handwritten line drawing on said display screen, the handwritten point or line drawing being drawn using said position indicating means; first memory means for storing a plurality of different coordinate systems used in computing a position of a displayed character or character string, wherein a position of a point of origin on the display screen of each different coordinate system differs depending on the coordinate system; second memory means for storing reference strokes and edit instructions so as to have an association between each pair of reference strokes and edit instructions; gesture judging means for judging a given edit instruction based on a result of a comparison between a shape of the handwritten line drawing and the reference stroke stared in said second memory means when an editing position for editing the document information is specified by the handwritten line drawing; position computing means for selecting one of the different coordinate systems from said first memory means based on the given edit instruction and for computing a position of a character or character string corresponding to the editing position using a coordinate of the handwritten line drawing and the selected coordinate system; and document editing means for editing a character or character string at the computed position based on the given edit instruction. 12. The information processing apparatus having a gesture editing function as set forth in claim 1, wherein said gesture judging means judges whether said position detecting means outputs the coordinates of a point specified by the pointing of said position indicating means or the coordinates of the handwritten line drawing.
| 0.565162 |
1. A method for semantic attribution of a request, said method implemented by a processor of a computer system, said method comprising: said processor receiving source data statements for the request; said processor receiving a selection of a domain for the received source data statements; said processor semantically analyzing the received source data statements, said semantically analyzing comprising matching elements in the received source data statements to respective one or more entries in an ontology associated with the selected domain, wherein the ontology comprises items and relationships that define the selected domain, and wherein each element in the received source data statements is a word or a phrase; after said matching is performed for one matched element of the matched elements, said processor determining whether completeness is indicated for the one matched element; responsive to determining that completeness is indicated for the one matched element, said processor fulfilling completeness for the one matched element; said processor assigning the one or more entries to the matched elements, respectively, to annotate each matched element with a respective annotation consisting of the respective one or more entries; said processor saving the annotated elements with the respective annotations; and said processor using the annotations to generate a search query for the request.
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1. A method for semantic attribution of a request, said method implemented by a processor of a computer system, said method comprising: said processor receiving source data statements for the request; said processor receiving a selection of a domain for the received source data statements; said processor semantically analyzing the received source data statements, said semantically analyzing comprising matching elements in the received source data statements to respective one or more entries in an ontology associated with the selected domain, wherein the ontology comprises items and relationships that define the selected domain, and wherein each element in the received source data statements is a word or a phrase; after said matching is performed for one matched element of the matched elements, said processor determining whether completeness is indicated for the one matched element; responsive to determining that completeness is indicated for the one matched element, said processor fulfilling completeness for the one matched element; said processor assigning the one or more entries to the matched elements, respectively, to annotate each matched element with a respective annotation consisting of the respective one or more entries; said processor saving the annotated elements with the respective annotations; and said processor using the annotations to generate a search query for the request. 2. The method of claim 1 , wherein the method further comprises: after said matching is performed for one matched element of the matched elements, said processor determining whether specificity is indicated for the one matched element; and responsive to a determination that specificity is indicated for the one matched element, said processor fulfilling specificity for the identified element.
| 0.503041 |
1. An alignment method comprising: with a computing device, for a source sentence in a source language, prior to word level alignment of the source sentence with a target sentence in a target language, identifying whether the sentence includes at least one candidate term comprising a contiguous subsequence of words of the source sentence; aligning the target sentence in the target language with the source sentence, comprising: developing a probabilistic model which models conditional probability distributions for alignments between words of the source sentence and words of the target sentence; and generating an optimal alignment based on the probabilistic model, including, where the source sentence includes the at least one candidate term, enforcing a contiguity constraint which requires that all the words of the target sentence which are aligned with an identified candidate term form a contiguous subsequence of the target sentence.
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1. An alignment method comprising: with a computing device, for a source sentence in a source language, prior to word level alignment of the source sentence with a target sentence in a target language, identifying whether the sentence includes at least one candidate term comprising a contiguous subsequence of words of the source sentence; aligning the target sentence in the target language with the source sentence, comprising: developing a probabilistic model which models conditional probability distributions for alignments between words of the source sentence and words of the target sentence; and generating an optimal alignment based on the probabilistic model, including, where the source sentence includes the at least one candidate term, enforcing a contiguity constraint which requires that all the words of the target sentence which are aligned with an identified candidate term form a contiguous subsequence of the target sentence. 19. The method of claim 1 , wherein the method operates without identification of terms in the target sentence.
| 0.646628 |
16. The one or more non-transitory computer-readable media including computer instructions for performing a method of claim 15 comprising storing, using the CPU, the one or more of the explications within a concept library database.
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16. The one or more non-transitory computer-readable media including computer instructions for performing a method of claim 15 comprising storing, using the CPU, the one or more of the explications within a concept library database. 17. The one or more non-transitory computer-readable media including computer instructions for performing a method of claim 16 comprising creating, using the CPU, a topology from the one or more identified risk elements and explications to construct an ontology and one or more alternate ontologies.
| 0.967804 |
1. A method, comprising: electronically receiving, by a computer-implemented natural language processor, a natural language input phrase from an interface device during an interactive session; attributing, by the natural language processor, a concept to the natural language input phrase, wherein the concept is a breakdown of one or more ideas in the natural language input phrase and the attributing is based at least in part on determining a pattern among terms in the natural language input phrase; associating a word in the natural language input phrase with the concept; searching a database, by the natural language processor, for a set of documents to identify one or more documents associated with the attributed concept to be included in a response to the natural language input phrase; causing the response to be provided to a user, the response including the one or more identified documents associated with the attributed concept; maintaining, by the natural language processor, the concept during the interactive session between the natural language processor and the interface device; receiving another natural language input phrase during the interactive session; and determining that one or more ambiguous words in the another natural language input phrase correspond to the word that is associated with the concept.
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1. A method, comprising: electronically receiving, by a computer-implemented natural language processor, a natural language input phrase from an interface device during an interactive session; attributing, by the natural language processor, a concept to the natural language input phrase, wherein the concept is a breakdown of one or more ideas in the natural language input phrase and the attributing is based at least in part on determining a pattern among terms in the natural language input phrase; associating a word in the natural language input phrase with the concept; searching a database, by the natural language processor, for a set of documents to identify one or more documents associated with the attributed concept to be included in a response to the natural language input phrase; causing the response to be provided to a user, the response including the one or more identified documents associated with the attributed concept; maintaining, by the natural language processor, the concept during the interactive session between the natural language processor and the interface device; receiving another natural language input phrase during the interactive session; and determining that one or more ambiguous words in the another natural language input phrase correspond to the word that is associated with the concept. 10. The method of claim 1 , wherein the pattern among the terms in the natural language input phrase comprises a proximity of any two or more of vocab terms, helper terms, or building blocks of the natural language input phrase.
| 0.596224 |
12. The computer-readable medium of claim 9 , wherein the first operational state is associated with a dimensional coordinate system used to process coordinate location parameters specified by the context block expression.
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12. The computer-readable medium of claim 9 , wherein the first operational state is associated with a dimensional coordinate system used to process coordinate location parameters specified by the context block expression. 14. The computer-readable medium of claim 12 , wherein the first operational state specifies that the dimensional coordinate system is relative to a three-dimensional space modeled by a three-dimensional model.
| 0.936147 |
4. The apparatus of claim 1 , wherein predetermined sub-words are employed to train the automatic speech recognition logic.
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4. The apparatus of claim 1 , wherein predetermined sub-words are employed to train the automatic speech recognition logic. 7. The apparatus of claim 4 , wherein the predetermined sub-words comprises tri-phones.
| 0.965436 |
1. A system, comprising: one or more memory units; and one or more processors operable to: determine a plurality of social interactions associated with a plurality of people, each social interaction comprising a particular person interacting with a particular social object of a plurality of social objects; generate a social object matrix using the determined social interactions; generate a social brain by performing Singular Value Decomposition (SVD) on the social object matrix, the social brain comprising a singular value representation of the social object matrix; determine text from the social objects of the determined social interactions; generate a term-document matrix (TDM) using the determined text; generate a semantic brain by performing SVD on the TDM, the semantic brain comprising a singular value representation of the TDM; generate an index using the determined text; and perform a query using the social brain, the semantic brain, and the index.
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1. A system, comprising: one or more memory units; and one or more processors operable to: determine a plurality of social interactions associated with a plurality of people, each social interaction comprising a particular person interacting with a particular social object of a plurality of social objects; generate a social object matrix using the determined social interactions; generate a social brain by performing Singular Value Decomposition (SVD) on the social object matrix, the social brain comprising a singular value representation of the social object matrix; determine text from the social objects of the determined social interactions; generate a term-document matrix (TDM) using the determined text; generate a semantic brain by performing SVD on the TDM, the semantic brain comprising a singular value representation of the TDM; generate an index using the determined text; and perform a query using the social brain, the semantic brain, and the index. 2. The system of claim 1 , wherein determining text from the social objects of the determined social interactions comprises: capturing text from the plurality of social objects that are textual social objects; and determining proxies for the plurality of social objects that are non-textual social objects and capturing text from the determined proxies.
| 0.827148 |
8. A system comprising: a processor; and a non-transitory computer-readable storage medium having stored therein instructions which, when executed by the processor, cause the processor to perform a method comprising: receiving a first speech signal and a second speech signal; generating feature coefficients based at least in part on the first speech signal and the second speech signal; comparing the feature coefficients to a codebook to yield an utterance similarity value, wherein the codebook is associated with a database of reference speech signals; if the utterance similarity value is above a threshold, providing access to a service and adding at least one of the first speech signal and the second speech signal to the database of reference signals.
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8. A system comprising: a processor; and a non-transitory computer-readable storage medium having stored therein instructions which, when executed by the processor, cause the processor to perform a method comprising: receiving a first speech signal and a second speech signal; generating feature coefficients based at least in part on the first speech signal and the second speech signal; comparing the feature coefficients to a codebook to yield an utterance similarity value, wherein the codebook is associated with a database of reference speech signals; if the utterance similarity value is above a threshold, providing access to a service and adding at least one of the first speech signal and the second speech signal to the database of reference signals. 9. The system of claim 8 , wherein the first speech signal and the second speech signal are received from a single user.
| 0.725417 |
1. A computer implemented method for generating a semantic network, the method comprising: representing an information domain as a data set, the data set being defined by data entities and one or more relationships between the data entities; receiving a text query from a human user; and synthesizing, or facilitating the synthesizing of, by one or more computer processors, a semantic network in response to the text query, the synthesizing comprising: translating the text query from the human user into an active concept; including the active concept as a node in the semantic network; deriving relationships between the active concept and selected data entities from the information domain; and populating the semantic network at least in part with the selected data entities from the information domain and the derived relationships between the selected data entities and the active concept.
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1. A computer implemented method for generating a semantic network, the method comprising: representing an information domain as a data set, the data set being defined by data entities and one or more relationships between the data entities; receiving a text query from a human user; and synthesizing, or facilitating the synthesizing of, by one or more computer processors, a semantic network in response to the text query, the synthesizing comprising: translating the text query from the human user into an active concept; including the active concept as a node in the semantic network; deriving relationships between the active concept and selected data entities from the information domain; and populating the semantic network at least in part with the selected data entities from the information domain and the derived relationships between the selected data entities and the active concept. 2. The computer implemented method of claim 1 , further comprising enabling one or more of: (a) interactions between the data entities and data received from the human user; and (b) interactions between the human user and the data entities based on the data received from the human user, by one or more synthesis operations.
| 0.547292 |
3. The method of claim 1 , wherein selecting the one or more fragments from the series of fragments of the web page comprises: determining the measure of similarity between the plurality of bookmarking tags and each fragment in the series of fragments of the web page, wherein the plurality of bookmarking tags is a plurality of social bookmarking tags; calculating a score for each fragment in the series of fragments of the web page based at least in part on the measure of similarity between the plurality of social bookmarking tags and the fragment; and selecting one or more fragments from the series of fragments of the web page based at least in part on the score associated with each fragment in the series of fragments of the web page.
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3. The method of claim 1 , wherein selecting the one or more fragments from the series of fragments of the web page comprises: determining the measure of similarity between the plurality of bookmarking tags and each fragment in the series of fragments of the web page, wherein the plurality of bookmarking tags is a plurality of social bookmarking tags; calculating a score for each fragment in the series of fragments of the web page based at least in part on the measure of similarity between the plurality of social bookmarking tags and the fragment; and selecting one or more fragments from the series of fragments of the web page based at least in part on the score associated with each fragment in the series of fragments of the web page. 8. The method of claim 3 , wherein selecting the one or more fragments from the series of fragments of the web page based at least in part on the score associated with each fragment comprises: selecting one or more fragments from the series of fragments of the web page that maximize a sum of the scores associated with the selected one or more fragments subject to the condition that a sum of a number of characters in the selected one or more fragments plus a penalty amount associated with selecting non-contiguous fragments in the series of fragments of the web page does not exceed a predetermined abstract length.
| 0.707061 |
8. A method for parsing, generating code and compiling computer data system query language code, the method comprising: obtaining, at a hardware processor, computer data system query language code from an electronic computer readable data storage; parsing, at the hardware processor, the computer data system query language code to generate a computer data system query language parsed code structure; resolving, at the hardware processor, a type of one or more columns represented in the parsed code structure based on a determined context of the one or more columns; inserting, at the hardware processor, resolved types into the parsed code structure; generating, at the hardware processor, computer programming language code from the computer data system query language parsed code structure; determining, at the hardware processor, whether precompiled code corresponding to the generated computer programming language code is available in a precompiled code repository stored in the electronic computer readable data storage; when precompiled code is available in the precompiled code repository, loading, at the hardware processor, the precompiled code; when precompiled code is not available in the precompiled code repository: compiling, at the hardware processor, the computer programming language code to generate compiled computer programming language code; and loading, at the hardware processor, the compiled computer programming language code; instantiating, at the hardware processor, the loaded precompiled code or the compiled computer programming language code; and executing, at the hardware processor, the instantiated code to perform a query operation corresponding to the computer data system query language code, wherein determining whether precompiled code corresponding to the programming language code is available in a precompiled code repository comprises: generating a token representing the generated computer programming language code; and comparing the token to one or more repository tokens in the precompiled code repository corresponding to precompiled code units.
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8. A method for parsing, generating code and compiling computer data system query language code, the method comprising: obtaining, at a hardware processor, computer data system query language code from an electronic computer readable data storage; parsing, at the hardware processor, the computer data system query language code to generate a computer data system query language parsed code structure; resolving, at the hardware processor, a type of one or more columns represented in the parsed code structure based on a determined context of the one or more columns; inserting, at the hardware processor, resolved types into the parsed code structure; generating, at the hardware processor, computer programming language code from the computer data system query language parsed code structure; determining, at the hardware processor, whether precompiled code corresponding to the generated computer programming language code is available in a precompiled code repository stored in the electronic computer readable data storage; when precompiled code is available in the precompiled code repository, loading, at the hardware processor, the precompiled code; when precompiled code is not available in the precompiled code repository: compiling, at the hardware processor, the computer programming language code to generate compiled computer programming language code; and loading, at the hardware processor, the compiled computer programming language code; instantiating, at the hardware processor, the loaded precompiled code or the compiled computer programming language code; and executing, at the hardware processor, the instantiated code to perform a query operation corresponding to the computer data system query language code, wherein determining whether precompiled code corresponding to the programming language code is available in a precompiled code repository comprises: generating a token representing the generated computer programming language code; and comparing the token to one or more repository tokens in the precompiled code repository corresponding to precompiled code units. 14. The method of claim 8 , further comprising repeating the resolving and inserting until any unresolved columns or variables have been resolved.
| 0.907431 |
8. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising: at each turn in a dialog nominating, using a partially observable Markov decision process in parallel with a conventional dialog state, a set of allowed dialog actions and a set of contextual features; and generating a response based on the set of contextual features and a dialog action selected, via a machine learning algorithm, from the set of allowed dialog actions.
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8. A system comprising: a processor; and a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising: at each turn in a dialog nominating, using a partially observable Markov decision process in parallel with a conventional dialog state, a set of allowed dialog actions and a set of contextual features; and generating a response based on the set of contextual features and a dialog action selected, via a machine learning algorithm, from the set of allowed dialog actions. 13. The system of claim 8 , wherein a lower-dimensional feature vector represents one of the set of allowed dialog actions.
| 0.625954 |
15. A computing system comprising a processor with access to a non-transitory computer-readable medium embodying one or more program components that configure the computing system to: detect selection of content within a page while the page is edited in an application, the content defined by markup code; responsive to input received by the application, automatically capture one or more stylistic changes to said content; responsive to capturing, automatically access a style data structure, the style data structure defined in a style sheet included in the page or in a separate style sheet file referenced by the page, wherein the style data structure comprises a plurality of style sheet rules, wherein each rule is applicable to one or more elements in the page to control an appearance of the one or more elements, and wherein the style sheet rules are logically distinct from the markup code defining the content; automatically search the style data structure for a style sheet rule defining a style having attributes that match said one or more stylistic changes; if a style sheet rule matching said one or more stylistic changes is found, automatically apply the discovered style sheet rule to said content by modifying markup defining a structural element of said web page corresponding to said content; otherwise automatically generate one or more style sheet rules for one or more stylistic changes associated with said selection; update the style sheet to include the generated one or more style sheet rules; and automatically apply said generated style sheet rule to said content by changing the markup code defining the content.
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15. A computing system comprising a processor with access to a non-transitory computer-readable medium embodying one or more program components that configure the computing system to: detect selection of content within a page while the page is edited in an application, the content defined by markup code; responsive to input received by the application, automatically capture one or more stylistic changes to said content; responsive to capturing, automatically access a style data structure, the style data structure defined in a style sheet included in the page or in a separate style sheet file referenced by the page, wherein the style data structure comprises a plurality of style sheet rules, wherein each rule is applicable to one or more elements in the page to control an appearance of the one or more elements, and wherein the style sheet rules are logically distinct from the markup code defining the content; automatically search the style data structure for a style sheet rule defining a style having attributes that match said one or more stylistic changes; if a style sheet rule matching said one or more stylistic changes is found, automatically apply the discovered style sheet rule to said content by modifying markup defining a structural element of said web page corresponding to said content; otherwise automatically generate one or more style sheet rules for one or more stylistic changes associated with said selection; update the style sheet to include the generated one or more style sheet rules; and automatically apply said generated style sheet rule to said content by changing the markup code defining the content. 18. The system of claim 15 wherein the one or more program components are further configured to cause the computing system to: detect a set of stylistic tags surrounding said user-selection, wherein said one or more stylistic changes does not represent formatting defined by said set of stylistic tags; responsive to said detecting, add a closing stylistic tag before an opening tag of a set of assignment tags associating one of said one or more style sheet rules and said style to said user-selection, wherein said closing stylistic tag pairs with an opening one of said set of stylistic tags; and responsive to said detecting, add an opening stylistic tag after a closing tag of said set of assignment tags, wherein said opening stylistic tag corresponds to said closing stylistic tag.
| 0.5 |
12. A computer system, comprising a memory and at least one processor, the memory storing software executable by the at least one processor, the software comprising: a code editor component that receives input and is operable in an edit mode to allow text editing of the input, the input comprising source code, the source code comprising instructions for mapping of values from one or more fields of a data source to one or more fields of a data destination; a compiler component that automatically executes the source code by compiling the source code into object code and sending the object code to an interface engine, causing the interface engine to receive one or more structured messages from the data source containing values for the mapping, and to extract and collect from the structured messages, for each instruction of the source code from which the object code was derived, values of the one or more fields of the data source referenced by that instruction; a display component that receives the collected field values from the interface engine and during the text editing of the input, for each instruction in the source code, displays an annotation comprising the value of any fields referenced by that instruction as collected for that instruction.
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12. A computer system, comprising a memory and at least one processor, the memory storing software executable by the at least one processor, the software comprising: a code editor component that receives input and is operable in an edit mode to allow text editing of the input, the input comprising source code, the source code comprising instructions for mapping of values from one or more fields of a data source to one or more fields of a data destination; a compiler component that automatically executes the source code by compiling the source code into object code and sending the object code to an interface engine, causing the interface engine to receive one or more structured messages from the data source containing values for the mapping, and to extract and collect from the structured messages, for each instruction of the source code from which the object code was derived, values of the one or more fields of the data source referenced by that instruction; a display component that receives the collected field values from the interface engine and during the text editing of the input, for each instruction in the source code, displays an annotation comprising the value of any fields referenced by that instruction as collected for that instruction. 13. The computer system of claim 12 , wherein the compiler component automatically executes the source code in response to a user moving a cursor to a different line.
| 0.679718 |
1. A computer implemented information retrieval system for retrieving information from a database, comprising: a parser for parsing a natural language query into its constituent phrases to produce a syntax analysis result; a plurality of virtual tables for converting phrases of the natural language query to retrieval keys possessed by the database, said virtual tables accounting for particles that modify the phrases; a collating unit for preparing a database retrieval formula from the syntax analysis result by selecting at least one virtual table that is used to convert the phrases of the natural language query to keys possessed by the database; and a retrieval execution unit for retrieving data from the database based on said database retrieval formula.
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1. A computer implemented information retrieval system for retrieving information from a database, comprising: a parser for parsing a natural language query into its constituent phrases to produce a syntax analysis result; a plurality of virtual tables for converting phrases of the natural language query to retrieval keys possessed by the database, said virtual tables accounting for particles that modify the phrases; a collating unit for preparing a database retrieval formula from the syntax analysis result by selecting at least one virtual table that is used to convert the phrases of the natural language query to keys possessed by the database; and a retrieval execution unit for retrieving data from the database based on said database retrieval formula. 3. An information retrieval system as recited in claim 1 further comprising: a terminology dictionary for identifying entries in the virtual table to be used in converting the phrases of natural language query, said dictionary including words representing time, and said terminology dictionary being used by the parser in obtaining the syntax analysis result; and wherein one of said virtual tables is a time interval definition table for defining dates corresponding to said words representing time.
| 0.5 |
1. A method for optimizing a digital circuit design, the method comprising steps of: translating a first representation of the digital circuit design to a second representation of the digital circuit design, the second representation comprising a plurality of syntactic expressions that admit a representation of a higher-order function of base Boolean values; syntactically manipulating the plurality of syntactic expressions to form a third representation of the digital circuit design, wherein the manipulating step comprises reducing a number of nodes within the plurality of syntactic expressions.
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1. A method for optimizing a digital circuit design, the method comprising steps of: translating a first representation of the digital circuit design to a second representation of the digital circuit design, the second representation comprising a plurality of syntactic expressions that admit a representation of a higher-order function of base Boolean values; syntactically manipulating the plurality of syntactic expressions to form a third representation of the digital circuit design, wherein the manipulating step comprises reducing a number of nodes within the plurality of syntactic expressions. 6. The method for optimizing a digital circuit design as recited in claim 1 , further comprising a step of translating the third representation of the digital circuit design to a fourth representation of the digital circuit design, wherein the first and fourth representations are expressed using the same syntax.
| 0.713175 |
1. A computationally-implemented system, comprising: circuitry for acquiring subjective user state data including data indicating at least one subjective user state associated with a user; circuitry for acquiring objective occurrence data including data indicating at least one objective occurrence associated with the user; and circuitry for correlating the subjective user state data with the objective occurrence data based, at least in part, on a determination of at least one sequential pattern associated with the at least one subjective user state and the at least one objective occurrence.
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1. A computationally-implemented system, comprising: circuitry for acquiring subjective user state data including data indicating at least one subjective user state associated with a user; circuitry for acquiring objective occurrence data including data indicating at least one objective occurrence associated with the user; and circuitry for correlating the subjective user state data with the objective occurrence data based, at least in part, on a determination of at least one sequential pattern associated with the at least one subjective user state and the at least one objective occurrence. 11. The computationally-implemented system of claim 1 , wherein said circuitry for acquiring objective occurrence data including data indicating at least one objective occurrence associated with the user comprises: circuitry for receiving the objective occurrence data.
| 0.683752 |
9. A filtering method used for a local terminal search system, the filtering method comprising: at a computing device including a processor and a memory; collecting file information stored in a local terminal; determining whether a file corresponding to the collected file information is a complex-structured file, the complex-structured file being defined as a file that requires more than a prescribed threshold time for filtering of the file; filtering by said processor the file corresponding to the collected file information if the corresponding file is not a complex-structured file; extracting by said processor information required for filtering of the corresponding file to generate preprocessed information segments if the corresponding file is a complex-structured file; combining the generated preprocessed information segments to generate a preprocessed file; and storing the generated preprocessed file in a snapshot database; filtering by said processor the preprocessed file during a period of time in which the processor can afford to perform the filtering; indexing each filtered file to provide indexed data; storing the indexed data in an index database, wherein the extracting of the information required for filtering of the corresponding file is for a prescribed time and a corresponding preprocessing process terminates if the prescribed time has elapsed, wherein the preprocessed information segment comprises at least one segment selected from the group consisting of a file name information segment, an extension information segment, a path information segment, a capacity information segment, a meta information segment, and a capture image information segment.
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9. A filtering method used for a local terminal search system, the filtering method comprising: at a computing device including a processor and a memory; collecting file information stored in a local terminal; determining whether a file corresponding to the collected file information is a complex-structured file, the complex-structured file being defined as a file that requires more than a prescribed threshold time for filtering of the file; filtering by said processor the file corresponding to the collected file information if the corresponding file is not a complex-structured file; extracting by said processor information required for filtering of the corresponding file to generate preprocessed information segments if the corresponding file is a complex-structured file; combining the generated preprocessed information segments to generate a preprocessed file; and storing the generated preprocessed file in a snapshot database; filtering by said processor the preprocessed file during a period of time in which the processor can afford to perform the filtering; indexing each filtered file to provide indexed data; storing the indexed data in an index database, wherein the extracting of the information required for filtering of the corresponding file is for a prescribed time and a corresponding preprocessing process terminates if the prescribed time has elapsed, wherein the preprocessed information segment comprises at least one segment selected from the group consisting of a file name information segment, an extension information segment, a path information segment, a capacity information segment, a meta information segment, and a capture image information segment. 12. The filtering method of claim 9 , further comprising: determining whether or nor the filtering is in progress; wherein a corresponding search request is processed after waiting until the filtering is completed if the determination is that the filtering is in progress.
| 0.73602 |
19. A computer-readable storage device encoded with a computer program product, the computer program product comprising instructions that when executed on one or more computers cause the one or more computers to perform operations implementing a predictive model training system, the operations comprising: receiving training data for predictive modeling; setting an ultimate time by which each of a plurality of processes executing training functions to generate respective trained predictive models is to be completed; executing the plurality of processes simultaneously in parallel to generate the trained predictive models using the training data; determining, after executing each of the plurality of processes for an initial time that is earlier than the ultimate time, a respective convergence status of each of the plurality of processes, wherein the convergence status indicates a likelihood that the process will converge, and based on the determination identifying one or more processes that are not likely to converge, terminating processes that are not likely to converge, and allowing the remaining processes to continue executing; after the ultimate time has been reached, terminating processes that have not yet converged, and generating an effectiveness score for each of a plurality of trained predictive models that were generated by the remaining processes, wherein the effectiveness score for a particular trained predictive model represents an estimation of the effectiveness of the particular trained predictive model; storing the plurality of trained predictive models in a repository of trained predictive models; receiving input data and a prediction request; selecting, for use in servicing the prediction request, a first trained predictive model from among the plurality of trained predictive models based on their respective effectiveness scores; providing the input data to the first trained predictive model; and receiving a predictive output from the first trained predictive model.
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19. A computer-readable storage device encoded with a computer program product, the computer program product comprising instructions that when executed on one or more computers cause the one or more computers to perform operations implementing a predictive model training system, the operations comprising: receiving training data for predictive modeling; setting an ultimate time by which each of a plurality of processes executing training functions to generate respective trained predictive models is to be completed; executing the plurality of processes simultaneously in parallel to generate the trained predictive models using the training data; determining, after executing each of the plurality of processes for an initial time that is earlier than the ultimate time, a respective convergence status of each of the plurality of processes, wherein the convergence status indicates a likelihood that the process will converge, and based on the determination identifying one or more processes that are not likely to converge, terminating processes that are not likely to converge, and allowing the remaining processes to continue executing; after the ultimate time has been reached, terminating processes that have not yet converged, and generating an effectiveness score for each of a plurality of trained predictive models that were generated by the remaining processes, wherein the effectiveness score for a particular trained predictive model represents an estimation of the effectiveness of the particular trained predictive model; storing the plurality of trained predictive models in a repository of trained predictive models; receiving input data and a prediction request; selecting, for use in servicing the prediction request, a first trained predictive model from among the plurality of trained predictive models based on their respective effectiveness scores; providing the input data to the first trained predictive model; and receiving a predictive output from the first trained predictive model. 26. The computer-readable storage device of claim 19 , wherein generating an effectiveness score for each of the plurality of trained predictive models comprises: partitioning the training data into k partitions, performing k-fold cross-validation and generating a cross-validation score for each of the plurality of trained predictive models that indicates the effectiveness of the trained predictive model, where k is an integer greater than 1.
| 0.587978 |
1. A computer-implemented method comprising: receiving one or more base data files at a platform server; transforming the base data files into one or more application data files, the application data files being defined in a declarative application modeling language, the declarative application modeling language comprising named data elements arranged in a hierarchical structure, the names and structure of the named data elements describing an application user interface and behavior, the declarative application modeling language including a structure for managing rules that define in part the behavior of an application, the rules comprising at least a given action and a given action trigger, the given action being automatically performed by the application upon the occurrence of the given action trigger, the given action trigger being dynamically evaluated during execution of the application and based in part on user actions, wherein the base data files are input into one or more data transformations to yield one or more application data files, each application data file describing a different application user interface and behavior corresponding to different web applications; compiling, by execution of a data processor, each application data file into the corresponding different web applications; and causing the web applications to be served to a browser, wherein the web application caches application states using state identifiers.
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1. A computer-implemented method comprising: receiving one or more base data files at a platform server; transforming the base data files into one or more application data files, the application data files being defined in a declarative application modeling language, the declarative application modeling language comprising named data elements arranged in a hierarchical structure, the names and structure of the named data elements describing an application user interface and behavior, the declarative application modeling language including a structure for managing rules that define in part the behavior of an application, the rules comprising at least a given action and a given action trigger, the given action being automatically performed by the application upon the occurrence of the given action trigger, the given action trigger being dynamically evaluated during execution of the application and based in part on user actions, wherein the base data files are input into one or more data transformations to yield one or more application data files, each application data file describing a different application user interface and behavior corresponding to different web applications; compiling, by execution of a data processor, each application data file into the corresponding different web applications; and causing the web applications to be served to a browser, wherein the web application caches application states using state identifiers. 16. The method as claimed in claim 1 wherein the web application uses state identifiers to represent application state.
| 0.818731 |
1. A computer implemented method comprising: receiving a single database query language statement, the single database query language statement comprising both a lexical portion having one or more lexical terms and a sentiment clause portion, the sentiment clause portion comprising: a sentiment-aware operator corresponding to a particular sentiment sought after, wherein the sentiment-aware operator comprises a first parameter and a second parameter that are both contained within the sentiment-aware operator, the first parameter corresponding to one or more sentiment terms such that a sentiment analysis is performed for the one or more sentiment terms and the second parameter corresponding to a sentiment assessment indication term corresponding to the particular sentiment to be searched for relative to the one or more sentiment terms, wherein at least one of the one or more sentiment terms in the sentiment clause portion differs from the one or more lexical terms in the lexical portion; parsing, by a computer processor, the single database query language statement to identify the one or more lexical terms to be used in a retrieval of documents containing the one or more of the lexical terms; parsing the single database query language statement based at least on the sentiment-aware operator to identify the one or more sentiment terms for performing the sentiment analysis and to identify the sentiment assessment indication term that pertains to the particular sentiment relative to the one or more sentiment terms; retrieving the documents that contain at least one of the one or more lexical terms; and after retrieving the documents that contain at least one of the one or more lexical terms, performing the sentiment analysis on the one or more sentiment terms found within the documents to identify the documents that pertain to the particular sentiment based at least in part on the sentiment assessment indication term.
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1. A computer implemented method comprising: receiving a single database query language statement, the single database query language statement comprising both a lexical portion having one or more lexical terms and a sentiment clause portion, the sentiment clause portion comprising: a sentiment-aware operator corresponding to a particular sentiment sought after, wherein the sentiment-aware operator comprises a first parameter and a second parameter that are both contained within the sentiment-aware operator, the first parameter corresponding to one or more sentiment terms such that a sentiment analysis is performed for the one or more sentiment terms and the second parameter corresponding to a sentiment assessment indication term corresponding to the particular sentiment to be searched for relative to the one or more sentiment terms, wherein at least one of the one or more sentiment terms in the sentiment clause portion differs from the one or more lexical terms in the lexical portion; parsing, by a computer processor, the single database query language statement to identify the one or more lexical terms to be used in a retrieval of documents containing the one or more of the lexical terms; parsing the single database query language statement based at least on the sentiment-aware operator to identify the one or more sentiment terms for performing the sentiment analysis and to identify the sentiment assessment indication term that pertains to the particular sentiment relative to the one or more sentiment terms; retrieving the documents that contain at least one of the one or more lexical terms; and after retrieving the documents that contain at least one of the one or more lexical terms, performing the sentiment analysis on the one or more sentiment terms found within the documents to identify the documents that pertain to the particular sentiment based at least in part on the sentiment assessment indication term. 8. The method of claim 1 , wherein parsing the query comprises parsing group operator.
| 0.595566 |
1. A workflow system embodied on a computer-readable storage medium, comprising: a workflow enabled data table that includes workflow triggers; a workflow table that includes workflow rules and associated code; a workflow extended store coupled to the workflow enabled data table and the workflow table, the workflow extended store includes extended store procedures; a workflow engine coupled to the workflow enabled data table, the workflow table and the workflow extended store; and a script engine coupled to the workflow engine; wherein the workflow enabled data table and the workflow table are part of a database server, the database server including at least one timeout agent implemented as a server job, the at least one timeout agent scans the database server and executes at least one timeout workflow event when the database server indicates such a workflow event is due.
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1. A workflow system embodied on a computer-readable storage medium, comprising: a workflow enabled data table that includes workflow triggers; a workflow table that includes workflow rules and associated code; a workflow extended store coupled to the workflow enabled data table and the workflow table, the workflow extended store includes extended store procedures; a workflow engine coupled to the workflow enabled data table, the workflow table and the workflow extended store; and a script engine coupled to the workflow engine; wherein the workflow enabled data table and the workflow table are part of a database server, the database server including at least one timeout agent implemented as a server job, the at least one timeout agent scans the database server and executes at least one timeout workflow event when the database server indicates such a workflow event is due. 2. The workflow system of claim 1 , the at least one timeout agent coupled to the workflow enabled data table and to the workflow engine.
| 0.50113 |
1. A method of managing a telemarketing campaign, the method comprising: a processor located at a main office providing, via a network, a solicitation file to an automatic dialer remotely located at one or more solicitation centers, the solicitation file identifying a plurality of solicitees for a telemarketing campaign; the processor providing, via the network, a first script template to a work station associated with the automatic dialer and remotely located at the corresponding solicitation center, the first script template to be presented to at least a first portion of the solicitees during a call initiated by the automatic dialer; the first script template communicated to the work station on a page-by-page basis by, when a previous page has been completed at the work station, overwriting at the work station the previous page with another page in response to page requests from the work station, wherein the another page of the first script is buffered at the main office prior to the previous page being completed at the work station and communicated to the work station only after the previous page has been completed in the work station, and wherein the another page has an identifier associating the another page with the previous page; the processor receiving, via the network from the work station, solicitee responses to the first script template from the first portion of the solicitees; the processor analyzing the solicitee responses to the first script template from the first portion of solicitees; and based on the analysis of the solicitee responses to the first script template, the processor determining whether to provide the work station via the network the first script template or a second script template to a second portion of the solicitees.
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1. A method of managing a telemarketing campaign, the method comprising: a processor located at a main office providing, via a network, a solicitation file to an automatic dialer remotely located at one or more solicitation centers, the solicitation file identifying a plurality of solicitees for a telemarketing campaign; the processor providing, via the network, a first script template to a work station associated with the automatic dialer and remotely located at the corresponding solicitation center, the first script template to be presented to at least a first portion of the solicitees during a call initiated by the automatic dialer; the first script template communicated to the work station on a page-by-page basis by, when a previous page has been completed at the work station, overwriting at the work station the previous page with another page in response to page requests from the work station, wherein the another page of the first script is buffered at the main office prior to the previous page being completed at the work station and communicated to the work station only after the previous page has been completed in the work station, and wherein the another page has an identifier associating the another page with the previous page; the processor receiving, via the network from the work station, solicitee responses to the first script template from the first portion of the solicitees; the processor analyzing the solicitee responses to the first script template from the first portion of solicitees; and based on the analysis of the solicitee responses to the first script template, the processor determining whether to provide the work station via the network the first script template or a second script template to a second portion of the solicitees. 3. The method of claim 1 , further comprising the processor updating the first script template based on the analysis of the solicitee responses and providing an updated first script template to the work stations.
| 0.701953 |
1. A method in a computer system for organizing references to web pages for a plurality of users using a plurality of lists of web pages, the web pages in each list reflecting common subject matter, each list having a threshold similarity value indicating the degree of similarity that a visited page must bear to web pages in the list in order to be included in the list, the method comprising the steps of: determining that any of the plurality of users is visiting a web page; in response to the determining step: for each list of web pages: comparing the contents of the visited web page to the contents of the web pages included in the list of web pages to assess the level of similarity between the contents of the visited web page and the contents of the web pages included in the list of web pages; if the level of similarity between the contents of the visited web page and the contents of the web pages included in the list of web pages exceeds the threshold value for the list, including the visited web page in the list of web pages; receiving from any of the users for an identified list a recommendation of an identified page; in response to the receiving step: comparing the contents of the identified web page to the contents of the web pages included in the identified list of web pages to assess the level of similarity between the contents of the identified web page and the contents of the web pages included in the identified list of web pages; deriving from the assessed level of similarity a modified level of similarity reflecting the received recommendation; and if the modified level of similarity between the contents of the identified web page and the contents of the web pages included in the identified list of web pages exceeds the threshold value for the identified list, including the identified web page in the identified list of web pages.
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1. A method in a computer system for organizing references to web pages for a plurality of users using a plurality of lists of web pages, the web pages in each list reflecting common subject matter, each list having a threshold similarity value indicating the degree of similarity that a visited page must bear to web pages in the list in order to be included in the list, the method comprising the steps of: determining that any of the plurality of users is visiting a web page; in response to the determining step: for each list of web pages: comparing the contents of the visited web page to the contents of the web pages included in the list of web pages to assess the level of similarity between the contents of the visited web page and the contents of the web pages included in the list of web pages; if the level of similarity between the contents of the visited web page and the contents of the web pages included in the list of web pages exceeds the threshold value for the list, including the visited web page in the list of web pages; receiving from any of the users for an identified list a recommendation of an identified page; in response to the receiving step: comparing the contents of the identified web page to the contents of the web pages included in the identified list of web pages to assess the level of similarity between the contents of the identified web page and the contents of the web pages included in the identified list of web pages; deriving from the assessed level of similarity a modified level of similarity reflecting the received recommendation; and if the modified level of similarity between the contents of the identified web page and the contents of the web pages included in the identified list of web pages exceeds the threshold value for the identified list, including the identified web page in the identified list of web pages. 4. The method of claim 1, further including the steps of: displaying a visual indication of each of the lists of web pages; and indicating in conjunction with the displayed visual indication of each of the lists of web pages whether the visited web page is included in the list.
| 0.534145 |
29. A computer-readable storage device encoded with a computer program product for use in generating a second human language user interface for a software product having a first human language user interface, the product comprising instructions operable to cause data processing apparatus to perform operations comprising: opening a glossary database that includes a plurality of string sets at least some of which include a user interface string in a first human language and a corresponding user interface string in a second human language, wherein a string set comprises user interface strings having the same set identifier, a set identifier comprising context information about a previous use of a user interface string in a user interface of a software product including a name of the software product and an identifier specifying a type of user interface string and each user interface string comprises a string displayed in a user interface of a software product; selecting a user interface string in the first human language user interface; finding, using a processor, a string set in the glossary database having the selected user interface string and a user interface string in the second human language, wherein the user interface strings in the string set were previously used in a software product different from the software product for which the second human language user interface is being generated; and using the user interface string in the second human language in the second human language user interface, wherein finding a string set in the glossary database having the selected user interface string comprises: searching for one or more literal user interface strings in the glossary database that matches the selected user interface string, generating a score for each matching user interface string based on a comparison of (i) context information about a previous use of the matching user interface string with (ii) context information about a previous use of the selected user interface string, and deciding, based on the score, whether or not to select a string set.
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29. A computer-readable storage device encoded with a computer program product for use in generating a second human language user interface for a software product having a first human language user interface, the product comprising instructions operable to cause data processing apparatus to perform operations comprising: opening a glossary database that includes a plurality of string sets at least some of which include a user interface string in a first human language and a corresponding user interface string in a second human language, wherein a string set comprises user interface strings having the same set identifier, a set identifier comprising context information about a previous use of a user interface string in a user interface of a software product including a name of the software product and an identifier specifying a type of user interface string and each user interface string comprises a string displayed in a user interface of a software product; selecting a user interface string in the first human language user interface; finding, using a processor, a string set in the glossary database having the selected user interface string and a user interface string in the second human language, wherein the user interface strings in the string set were previously used in a software product different from the software product for which the second human language user interface is being generated; and using the user interface string in the second human language in the second human language user interface, wherein finding a string set in the glossary database having the selected user interface string comprises: searching for one or more literal user interface strings in the glossary database that matches the selected user interface string, generating a score for each matching user interface string based on a comparison of (i) context information about a previous use of the matching user interface string with (ii) context information about a previous use of the selected user interface string, and deciding, based on the score, whether or not to select a string set. 34. The product encoded on the computer-readable storage device of claim 29 , wherein user interface strings in the glossary database are stored in Unicode.
| 0.724152 |
2. The method of claim 1 , wherein the interpreter program is loaded in response to a statement in a document being parsed.
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2. The method of claim 1 , wherein the interpreter program is loaded in response to a statement in a document being parsed. 3. The method of claim 2 further comprising, loading the second program in response to a second statement in the document being processed.
| 0.89441 |
1. A method comprising: receiving, by one or more processors, a first input indicating user activity that comprises a first edit to a document at a first position in the document in a document editing application executing on a computing device, wherein the document editing application is navigable among different partial views of the document, and the document editing application displays a frame element that indicates a position of a presently displayed partial view of the document with reference to an entirety of the document; and displaying, by the one or more processors, in response to the first input indicating the user activity that comprises the first edit to the document, a first marker, in or proximate to the frame element, indicating where the first position of user activity is located with reference to the entirety of the document, wherein the first marker is separate from the first edit to the document; receiving, by the one or more processors, a second input indicating user activity that comprises a second edit to the document at a second position in the document in the document editing application; displaying, in response to the second input indicating the user activity that comprises the second edit to the document, a second marker, in or proximate to the frame element, indicating where the second position of user activity is located with reference to the entirety of the document, wherein the second marker is separate from the second edit to the document and is visually distinct from the first marker, wherein the first marker and the second marker are different numbers, and wherein the numbers for the markers are modified as additional markers are added, such that a first number always represents a position of a most recent user activity, and a second number always represents a position of a second most recent user activity.
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1. A method comprising: receiving, by one or more processors, a first input indicating user activity that comprises a first edit to a document at a first position in the document in a document editing application executing on a computing device, wherein the document editing application is navigable among different partial views of the document, and the document editing application displays a frame element that indicates a position of a presently displayed partial view of the document with reference to an entirety of the document; and displaying, by the one or more processors, in response to the first input indicating the user activity that comprises the first edit to the document, a first marker, in or proximate to the frame element, indicating where the first position of user activity is located with reference to the entirety of the document, wherein the first marker is separate from the first edit to the document; receiving, by the one or more processors, a second input indicating user activity that comprises a second edit to the document at a second position in the document in the document editing application; displaying, in response to the second input indicating the user activity that comprises the second edit to the document, a second marker, in or proximate to the frame element, indicating where the second position of user activity is located with reference to the entirety of the document, wherein the second marker is separate from the second edit to the document and is visually distinct from the first marker, wherein the first marker and the second marker are different numbers, and wherein the numbers for the markers are modified as additional markers are added, such that a first number always represents a position of a most recent user activity, and a second number always represents a position of a second most recent user activity. 7. The method of claim 1 , further comprising: enabling shortcut keys comprising a first shortcut key associated with the first marker and a second shortcut key associated with the second marker; and displaying, in response to a user input indicating selection of one of the shortcut keys, a partial view of the document showing either the first position of user activity or the second position of user activity based on whether the user input indicates selection of the first shortcut key or the second shortcut key.
| 0.766133 |
5. A method, comprising: obtaining an image of at least a portion of a document; processing the image to determine a plurality of image characteristics of the image wherein the plurality of image characteristics comprise at least one of a first image characteristic representing ascending letters in the image, a second image characteristic representing descending letters in the image, a third image characteristic representing a number of letters in a word in the image and a fourth image characteristic representing a number of words in a line of text in the image; and identifying a previously stored source document based at least in part on the plurality of image characteristics.
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5. A method, comprising: obtaining an image of at least a portion of a document; processing the image to determine a plurality of image characteristics of the image wherein the plurality of image characteristics comprise at least one of a first image characteristic representing ascending letters in the image, a second image characteristic representing descending letters in the image, a third image characteristic representing a number of letters in a word in the image and a fourth image characteristic representing a number of words in a line of text in the image; and identifying a previously stored source document based at least in part on the plurality of image characteristics. 10. The method of claim 5 , in which the plurality of image characteristics comprises: a fifth image characteristic representing word length of words in the image in standard units of length; a sixth image characteristic representing word length proportional to word heights of words in the image; a seventh image characteristic representing letter height in standard units of length of letters in the image; and an eighth image characteristic representing letter height proportional to an average letter height of letters in the image.
| 0.68046 |
1. A computer-implemented method comprising: generating training data for training a predictive model using a machine learning technique to estimate a probability that a given document is plagiarized or is not plagiarized, the training data including, for each of a plurality of training documents, a feature vector that includes (i) data referencing a content of an edit to the training document, (ii) data referencing a type of the edit to the training document, (iii) data referencing a time associated with the edit to the training document, and (iv) a label indicating whether the training document is or is not plagiarized; training the predictive model using the training data; after training the predictive model, identifying a particular document stored in a database; receiving data referencing (i) a content of an edit to the particular document stored in the database, and (ii) a time associated with the edit to the particular document; generating a feature vector based at least on the data referencing (i) the content of the edit to the particular document stored in the database, and (ii) the time associated with the edit to the particular document; and determining a probability that the particular document is plagiarized or is not plagiarized based on classifying the feature vector by the predictive model that is trained using the machine learning technique.
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1. A computer-implemented method comprising: generating training data for training a predictive model using a machine learning technique to estimate a probability that a given document is plagiarized or is not plagiarized, the training data including, for each of a plurality of training documents, a feature vector that includes (i) data referencing a content of an edit to the training document, (ii) data referencing a type of the edit to the training document, (iii) data referencing a time associated with the edit to the training document, and (iv) a label indicating whether the training document is or is not plagiarized; training the predictive model using the training data; after training the predictive model, identifying a particular document stored in a database; receiving data referencing (i) a content of an edit to the particular document stored in the database, and (ii) a time associated with the edit to the particular document; generating a feature vector based at least on the data referencing (i) the content of the edit to the particular document stored in the database, and (ii) the time associated with the edit to the particular document; and determining a probability that the particular document is plagiarized or is not plagiarized based on classifying the feature vector by the predictive model that is trained using the machine learning technique. 6. The method of claim 1 , comprising, for each of the plurality of training documents, pre-processing the content of the edit to insert variable-invariant features.
| 0.571916 |
1. A method of performing text to speech conversion on a portable device, said method comprising: predicting, based at least in part on prior user selection of at least one second book and on a first book being newly released and prior to user selection of listening to an audio version of the first book, the first book being different from the second book, the first book for conversion to speech format, by anticipating the first book based on at least one feature of the first book, the at least one feature being new release of the first book; responsive to the predicting and prior to user selection to listen to the audio version of the first book, performing a text to speech conversion on said book to produce converted speech; storing said converted speech into a memory device of said portable device; executing a reader application wherein a user request is received for narration of said book; and during said executing, accessing said converted speech from said memory device and rendering said converted speech on said portable device responsive to said user request.
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1. A method of performing text to speech conversion on a portable device, said method comprising: predicting, based at least in part on prior user selection of at least one second book and on a first book being newly released and prior to user selection of listening to an audio version of the first book, the first book being different from the second book, the first book for conversion to speech format, by anticipating the first book based on at least one feature of the first book, the at least one feature being new release of the first book; responsive to the predicting and prior to user selection to listen to the audio version of the first book, performing a text to speech conversion on said book to produce converted speech; storing said converted speech into a memory device of said portable device; executing a reader application wherein a user request is received for narration of said book; and during said executing, accessing said converted speech from said memory device and rendering said converted speech on said portable device responsive to said user request. 2. The method of claim 1 wherein said at least one feature further comprises identifications of newly added books and wherein said first book is taken from said newly added books.
| 0.57232 |
6. A computer-implemented method of designing a regular expression, comprising: storing data in a computer-readable medium; displaying at least a portion of the stored data in a data view via a processor, wherein the stored information is stored in a plurality of different data formats; applying metadata that defines how data files of each different data format type are to be parsed, such that a generic parser is usable for parsing the plurality of different stored data types; enabling a user to graphically and arbitrarily select any one or more sections of the displayed data, regardless of the data format; automatically generating a regular expression comprising one or more specialized characters or character sets that have a predefined meaning for parsing text, the regular expression being derived from and based on the graphically and arbitrarily selected section of data; enabling the user to apply the regular expression to a body of text; and displaying text that matches the regular expression in at least one of a tabulated viewing area or a column viewing area, wherein the rendered regular expression comprises a custom metadata annotation applied by the generic parser indicating the data type of the selected portion of text, and wherein the automatically generated regular expression is displayed in syntactical form including the one or more specialized characters and/or character sets, and wherein rendering the rendered regular expression comprises implementing a heuristics component that employs at least one of a probabilistic-based or statistical-based analysis to automatically generate the regular expression.
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6. A computer-implemented method of designing a regular expression, comprising: storing data in a computer-readable medium; displaying at least a portion of the stored data in a data view via a processor, wherein the stored information is stored in a plurality of different data formats; applying metadata that defines how data files of each different data format type are to be parsed, such that a generic parser is usable for parsing the plurality of different stored data types; enabling a user to graphically and arbitrarily select any one or more sections of the displayed data, regardless of the data format; automatically generating a regular expression comprising one or more specialized characters or character sets that have a predefined meaning for parsing text, the regular expression being derived from and based on the graphically and arbitrarily selected section of data; enabling the user to apply the regular expression to a body of text; and displaying text that matches the regular expression in at least one of a tabulated viewing area or a column viewing area, wherein the rendered regular expression comprises a custom metadata annotation applied by the generic parser indicating the data type of the selected portion of text, and wherein the automatically generated regular expression is displayed in syntactical form including the one or more specialized characters and/or character sets, and wherein rendering the rendered regular expression comprises implementing a heuristics component that employs at least one of a probabilistic-based or statistical-based analysis to automatically generate the regular expression. 9. The computer-implemented method of claim 6 , further comprising enabling the user to manually modify the regular expression, wherein at least the tabulated viewing area or the column viewing area is dynamically updated based on the manual modification of the regular expression.
| 0.573949 |
27. A computer-implemented method comprising: using a first software module to access the web page content to retrieve address information for a second software module, the first software module to access hypertext markup language (HTML) web content including the address information and the HTML web content accessible to a web browser, wherein the second software module comprises a non-browser application; automatically identifying a variable value signifying the address information associated with a hypertext element within a hypertext document for the web page; automatically extracting the address information data; providing the extracted address information data as input data to the second software module; and requesting to display an overlaying icon corresponding to the second software module on a user interface, the second software module to access the address information.
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27. A computer-implemented method comprising: using a first software module to access the web page content to retrieve address information for a second software module, the first software module to access hypertext markup language (HTML) web content including the address information and the HTML web content accessible to a web browser, wherein the second software module comprises a non-browser application; automatically identifying a variable value signifying the address information associated with a hypertext element within a hypertext document for the web page; automatically extracting the address information data; providing the extracted address information data as input data to the second software module; and requesting to display an overlaying icon corresponding to the second software module on a user interface, the second software module to access the address information. 30. The method of claim 27 , wherein the identifying a variable value comprises identifying a variable value in response to a request from the second software.
| 0.60989 |
2. A method according to claim 1 , wherein the interface of the metadata repository exposes at least one check routine, the method including calling the or each check routine to cause the repository service to check for a specific inconsistency between the at least one candidate taxonomy and the data stored in the repository.
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2. A method according to claim 1 , wherein the interface of the metadata repository exposes at least one check routine, the method including calling the or each check routine to cause the repository service to check for a specific inconsistency between the at least one candidate taxonomy and the data stored in the repository. 4. A method according to claim 2 comprising calling a deleted data values check routine to check for any records using data including data values deleted from the at least one candidate taxonomy.
| 0.916949 |
16. The storage medium of claim 10 , further comprising: repeating document reconstruction and recreation for each page of a plurality of pages in a document; and constructing a table of contents for the document.
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16. The storage medium of claim 10 , further comprising: repeating document reconstruction and recreation for each page of a plurality of pages in a document; and constructing a table of contents for the document. 17. The storage medium of claim 16 , wherein constructing a table of contents comprises: searching for chapter headings within the document; retrieving chapter level indices; searching for sub-chapter headings within the document to retrieve sub-chapter level indices; and updating dynamically the table of contents indices when new content is added.
| 0.882944 |
16. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, cause the one or more computers to perform operations comprising: obtaining search results that are identified as responsive to an original search query; determining a frequency with which a particular term occurs in text associated with one or more of the search results; determining a frequency with which the particular term occurs in other text; determining that the frequency with which the particular term occurs in the text associated with the one or more search results differs, by a threshold extent, from the frequency with which the particular term occurs in the other text; in response to determining that the frequency with which the particular term occurs in a text associated with the one or more search results differs, by the threshold extent, from the frequency with which the term occurs in the other text, providing, for display, a representation of the particular term, a demote control to specify that the search results for the reformulated search query that include the particular term are to be demoted, and a promote control to specify that the search results for the formulated search query that include the particular term are to be promoted; receiving data indicative of a selection of the demote control or the promote control; and in response to receiving the data indicative of the selection of the demote control or the promote control, reformulating the original search query to promote or demote the particular term.
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16. A system comprising: one or more computers and one or more storage devices storing instructions that are operable, when executed by the one or more computers, cause the one or more computers to perform operations comprising: obtaining search results that are identified as responsive to an original search query; determining a frequency with which a particular term occurs in text associated with one or more of the search results; determining a frequency with which the particular term occurs in other text; determining that the frequency with which the particular term occurs in the text associated with the one or more search results differs, by a threshold extent, from the frequency with which the particular term occurs in the other text; in response to determining that the frequency with which the particular term occurs in a text associated with the one or more search results differs, by the threshold extent, from the frequency with which the term occurs in the other text, providing, for display, a representation of the particular term, a demote control to specify that the search results for the reformulated search query that include the particular term are to be demoted, and a promote control to specify that the search results for the formulated search query that include the particular term are to be promoted; receiving data indicative of a selection of the demote control or the promote control; and in response to receiving the data indicative of the selection of the demote control or the promote control, reformulating the original search query to promote or demote the particular term. 18. The system of claim 16 , wherein determining a frequency with which a particular term occurs in the text associated with the one or more of the search results comprises determining the frequency of the particular term based on an occurrence count, and the particular term not being a stop word.
| 0.5 |
1. A method for controlling content of an original document, comprising the steps of: receiving the original document comprising one or more extraction permissives; limiting extractions from the original document to discrete defined portions by enforcing the one or more extraction permissives associated with the document, wherein the document was encrypted to enforce the extraction permissives; decrypting the document to allow displaying the document only through a document control editor; receiving an extraction instruction to extract an identified portion of the decrypted, document; determining that the extraction instruction is in compliance with the one or more extraction permissives; executing the extraction instruction by extracting the identified portion along with extraction permissives associated with the identified portion; inserting the extracted portion and the related extraction permissives into a manuscript; permitting display of the inserted extracted portion in a decrypted form only through a document control editor; and assembling the manuscript having the extracted portion from the original document and the one or more extraction permissives associated with the extracted portion.
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1. A method for controlling content of an original document, comprising the steps of: receiving the original document comprising one or more extraction permissives; limiting extractions from the original document to discrete defined portions by enforcing the one or more extraction permissives associated with the document, wherein the document was encrypted to enforce the extraction permissives; decrypting the document to allow displaying the document only through a document control editor; receiving an extraction instruction to extract an identified portion of the decrypted, document; determining that the extraction instruction is in compliance with the one or more extraction permissives; executing the extraction instruction by extracting the identified portion along with extraction permissives associated with the identified portion; inserting the extracted portion and the related extraction permissives into a manuscript; permitting display of the inserted extracted portion in a decrypted form only through a document control editor; and assembling the manuscript having the extracted portion from the original document and the one or more extraction permissives associated with the extracted portion. 10. The method of claim 1 , wherein the discrete defined portions are selected from a character, a word, a quoted string, a sentence, a paragraph, a tag, a header or combinations thereof.
| 0.7138 |
12. A non-transitory computer-readable storage medium storing instructions, the instructions comprising: one or more instructions which, when executed by a processor, cause the processor to: associate a meta-class with a class, the meta-class having meta-data including a property, create a compiled version of the class, the compiled version being embedded with the property of the meta-class; create an instance of the class; receive, from an entity, a request to access the instance of the class; access, based on receiving the request, the property of the meta-class embedded in the compiled version of the class to determine how to access data associated with the instance of the class; receive, based on accessing the property of the meta-data class, information regarding how to access the data associated with the instance of the class, the meta-data providing the information, the meta-data providing a value to the entity, and the value being used to identify the instance of the class; and access, based on the information regarding how to access the data associated with the instance of the class, the data associated with the instance of the class.
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12. A non-transitory computer-readable storage medium storing instructions, the instructions comprising: one or more instructions which, when executed by a processor, cause the processor to: associate a meta-class with a class, the meta-class having meta-data including a property, create a compiled version of the class, the compiled version being embedded with the property of the meta-class; create an instance of the class; receive, from an entity, a request to access the instance of the class; access, based on receiving the request, the property of the meta-class embedded in the compiled version of the class to determine how to access data associated with the instance of the class; receive, based on accessing the property of the meta-data class, information regarding how to access the data associated with the instance of the class, the meta-data providing the information, the meta-data providing a value to the entity, and the value being used to identify the instance of the class; and access, based on the information regarding how to access the data associated with the instance of the class, the data associated with the instance of the class. 13. The storage medium of claim 12 , where the class is associated with a programming language, and the programming language is a dynamically typed array-based programming language.
| 0.698901 |
4. A computer program product, comprising: a computer-readable, storage device; and a computer-readable program code stored in the computer-readable, storage device, the computer-readable program code containing instructions that are executed by a central processing unit (CPU) of a computer system to implement a method of building an ontology, the method comprising the steps of: the computer system extracting a plurality of complex triples from free-form text provided by a software application, each complex triple including a compound subject, a compound predicate and a compound object; the computer system performing a syntactic transformation of the plurality of complex triples by, based on a grammar, identifying core terms and non-core terms in the plurality of complex triples, identifying syntactic elements in the plurality of complex triples including nouns, verbs, adjectives and adverbs, and standardizing the plurality of complex triples, wherein a result of the step of performing the syntactic transformation is a plurality of syntactically transformed complex triples whose terms are aligned to the grammar; the computer system performing a semantic transformation of the plurality of syntactically transformed complex triples into respective one or more simplified triples included in a plurality of simplified triples by assigning each core term included in the plurality of simplified triples to exactly one term definition and to exactly one identification key of a reference ontology, wherein each simplified triple includes a subject term, a predicate term and an object term, and wherein each of the one or more simplified triples retains the semantics of the respective syntactically transformed complex triple; based in part on a meta-schema of the reference ontology, the computer system performing an enrichment transformation of the plurality of simplified triples into a plurality of simplified and enriched triples by adding relations derived from a correspondence each term in the plurality of simplified triples has with the reference ontology and by adding representations of semantics of definitions of terms in the plurality of simplified triples, wherein the definitions are included in the reference ontology; based on the plurality of simplified and enriched triples, the computer system generating a new ontology that is aligned with the reference ontology and that represents knowledge included within the software application that provides the free-form text, the new ontology addressing a first domain of expertise; the computer system aligning another ontology with the reference ontology, the other ontology addressing a second domain of expertise that is different from the first domain of expertise; and based on the new ontology and the other ontology being aligned with the reference ontology, the computer system merging the new ontology and the other ontology even though the first and second domains of expertise are different, wherein the step of performing the syntactic transformation of the plurality of complex triples includes: determining a first term of a complex triple included in the plurality of complex triples is a core term and is a verb; and determining a second term of the complex triple is an object, wherein the step of performing the semantic transformation of the plurality of syntactically transformed complex triples into the respective one or more simplified triples included in the plurality of simplified triples is based in part on the first term that is a core term and a verb, and includes generating a conceptualized verb from the verb, wherein the step of generating the conceptualized verb includes: sending to a user a list of verbs included in a lexical database that lexically match the verb and determining a verb in the list of verbs whose definition is selected by the user; sending to the user a list of nouns included in the lexical database that are derivationally related forms of the verb whose definition is selected by the user and determining whether the user selects one of the nouns as having a meaning that matches a meaning of the conceptualized verb; if the user selects one of the nouns, designating the selected noun as the conceptualized verb; if the user does not select one of the nouns, sending to the user a list of hypernyms and hyponyms that the lexical database associates with the nouns in the list of nouns, and determining whether the user selects one of the hypernyms or one of the hyponyms; if the user selects one of the hypernyms or one of the hyponyms, designating the selected hypernym or hyponym ad the conceptualized verb; if the user does not select one of the hypernyms or hyponyms, creating the conceptualized verb by adding a suffix_ness to an end of the verb, and wherein the step of performing the enrichment transformation of the plurality of simplified triples is based in part on the conceptualized verb and includes the step of generating a new set of complex triples that represents the semantics of the definitions of core terms in the plurality of simplified triples, and wherein the method further comprises the steps of: the computer system receiving a desired analysis depth and initializing an analysis depth parameter; based on the grammar, the computer system syntactically transforming the new set of complex triples into a new syntactically transformed set of complex triples; the computer system semantically transforming the new syntactically transformed set of complex triples into a new set of simplified triples; the computer system updating the analysis depth parameter subsequent to the steps of syntactically transforming and semantically transforming; and while the updated analysis depth parameter does not indicate the desired analysis depth, the computer system: performing an enrichment transformation on the new set of simplified triples to generate another new set of complex triples; and repeating, for the other new set of simplified triples, the steps of syntactically transforming, semantically transforming, and updating the analysis depth parameter.
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4. A computer program product, comprising: a computer-readable, storage device; and a computer-readable program code stored in the computer-readable, storage device, the computer-readable program code containing instructions that are executed by a central processing unit (CPU) of a computer system to implement a method of building an ontology, the method comprising the steps of: the computer system extracting a plurality of complex triples from free-form text provided by a software application, each complex triple including a compound subject, a compound predicate and a compound object; the computer system performing a syntactic transformation of the plurality of complex triples by, based on a grammar, identifying core terms and non-core terms in the plurality of complex triples, identifying syntactic elements in the plurality of complex triples including nouns, verbs, adjectives and adverbs, and standardizing the plurality of complex triples, wherein a result of the step of performing the syntactic transformation is a plurality of syntactically transformed complex triples whose terms are aligned to the grammar; the computer system performing a semantic transformation of the plurality of syntactically transformed complex triples into respective one or more simplified triples included in a plurality of simplified triples by assigning each core term included in the plurality of simplified triples to exactly one term definition and to exactly one identification key of a reference ontology, wherein each simplified triple includes a subject term, a predicate term and an object term, and wherein each of the one or more simplified triples retains the semantics of the respective syntactically transformed complex triple; based in part on a meta-schema of the reference ontology, the computer system performing an enrichment transformation of the plurality of simplified triples into a plurality of simplified and enriched triples by adding relations derived from a correspondence each term in the plurality of simplified triples has with the reference ontology and by adding representations of semantics of definitions of terms in the plurality of simplified triples, wherein the definitions are included in the reference ontology; based on the plurality of simplified and enriched triples, the computer system generating a new ontology that is aligned with the reference ontology and that represents knowledge included within the software application that provides the free-form text, the new ontology addressing a first domain of expertise; the computer system aligning another ontology with the reference ontology, the other ontology addressing a second domain of expertise that is different from the first domain of expertise; and based on the new ontology and the other ontology being aligned with the reference ontology, the computer system merging the new ontology and the other ontology even though the first and second domains of expertise are different, wherein the step of performing the syntactic transformation of the plurality of complex triples includes: determining a first term of a complex triple included in the plurality of complex triples is a core term and is a verb; and determining a second term of the complex triple is an object, wherein the step of performing the semantic transformation of the plurality of syntactically transformed complex triples into the respective one or more simplified triples included in the plurality of simplified triples is based in part on the first term that is a core term and a verb, and includes generating a conceptualized verb from the verb, wherein the step of generating the conceptualized verb includes: sending to a user a list of verbs included in a lexical database that lexically match the verb and determining a verb in the list of verbs whose definition is selected by the user; sending to the user a list of nouns included in the lexical database that are derivationally related forms of the verb whose definition is selected by the user and determining whether the user selects one of the nouns as having a meaning that matches a meaning of the conceptualized verb; if the user selects one of the nouns, designating the selected noun as the conceptualized verb; if the user does not select one of the nouns, sending to the user a list of hypernyms and hyponyms that the lexical database associates with the nouns in the list of nouns, and determining whether the user selects one of the hypernyms or one of the hyponyms; if the user selects one of the hypernyms or one of the hyponyms, designating the selected hypernym or hyponym ad the conceptualized verb; if the user does not select one of the hypernyms or hyponyms, creating the conceptualized verb by adding a suffix_ness to an end of the verb, and wherein the step of performing the enrichment transformation of the plurality of simplified triples is based in part on the conceptualized verb and includes the step of generating a new set of complex triples that represents the semantics of the definitions of core terms in the plurality of simplified triples, and wherein the method further comprises the steps of: the computer system receiving a desired analysis depth and initializing an analysis depth parameter; based on the grammar, the computer system syntactically transforming the new set of complex triples into a new syntactically transformed set of complex triples; the computer system semantically transforming the new syntactically transformed set of complex triples into a new set of simplified triples; the computer system updating the analysis depth parameter subsequent to the steps of syntactically transforming and semantically transforming; and while the updated analysis depth parameter does not indicate the desired analysis depth, the computer system: performing an enrichment transformation on the new set of simplified triples to generate another new set of complex triples; and repeating, for the other new set of simplified triples, the steps of syntactically transforming, semantically transforming, and updating the analysis depth parameter. 6. The computer program product of claim 4 , wherein the method further comprises: the computer system receiving a second plurality of complex triples extracted from other free-form text provided by another software application; the computer system performing a syntactic transformation of the second plurality of complex triples, wherein a result of the step of performing the syntactic transformation is a second plurality of syntactically transformed complex triples whose terms are aligned to the grammar; the computer system performing a semantic transformation of the second plurality of syntactically transformed complex triples into respective one or more simplified triples included in a second plurality of simplified triples; based in part on the meta-schema of the reference ontology, the computer system performing an enrichment transformation of the second plurality of simplified triples into a second plurality of simplified and enriched triples by adding second relations derived from a correspondence each term in the second plurality of simplified triples has with the reference ontology and by adding second representations of semantics of definitions of terms in the second plurality of simplified triples, wherein the definitions of terms in the second plurality of simplified triples are included in the reference ontology; the computer system storing the second plurality of simplified and enriched triples as a second new ontology that represents knowledge included within the second software application that provides the other free-form text; the computer system syntactically and semantically transforming the plurality of simplified and enriched triples into a first new set of simple triples; the computer system syntactically and semantically transforming the second plurality of simplified and enriched triples into a second new set of simple triples; and the computer system determining a cross-ontology correspondence between the new ontology and the second new ontology by the computer system determining a semantic correspondence between the first new set of triples and the second new set of triples.
| 0.52136 |
1. A network meta-data library that is part of a telecommunications network hardware component operable to: receive at least changes associated with one or more telecommunication network models; compare the received changes to one or more stored telecommunication network models; identify portions of the compared one or more stored telecommunication network models affected by the received changes; generate a version of each stored model affected by the received changes; and forward a version of one or more models to a mediation unit to enable the generation of one or more normalized models.
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1. A network meta-data library that is part of a telecommunications network hardware component operable to: receive at least changes associated with one or more telecommunication network models; compare the received changes to one or more stored telecommunication network models; identify portions of the compared one or more stored telecommunication network models affected by the received changes; generate a version of each stored model affected by the received changes; and forward a version of one or more models to a mediation unit to enable the generation of one or more normalized models. 3. The meta-data library as in claim 1 wherein the changes are associated with at least one operations support system.
| 0.618306 |
15. A terminal for playing programs, comprising: a channel list creating module, configured to create virtual channels corresponding to keywords in a keyword list according to the keywords, and use the virtual channels to form a virtual channel list; an identifying module, configured to identify programs inclusive of the keywords among received programs according to activated keywords when the keywords in the keyword list are activated; a playlist generating module, configured to generate a playlist of the virtual channels corresponding to the keywords using the identified programs by the identifying module and a preset playlist generation rule, wherein the preset playlist generation rule causes the playlist generating module to: arrange the programs in order of start time of the programs; determine a ratio of a duration of each program to a total duration of the programs in the playlist being greater than a preset threshold before adding a next program to the playlist; and wherein an end time of the next program is later than the end time of a previous program in the playlist; and an activating module, configured to activate the virtual channels, and play the programs in the playlist generated by the playlist generating module.
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15. A terminal for playing programs, comprising: a channel list creating module, configured to create virtual channels corresponding to keywords in a keyword list according to the keywords, and use the virtual channels to form a virtual channel list; an identifying module, configured to identify programs inclusive of the keywords among received programs according to activated keywords when the keywords in the keyword list are activated; a playlist generating module, configured to generate a playlist of the virtual channels corresponding to the keywords using the identified programs by the identifying module and a preset playlist generation rule, wherein the preset playlist generation rule causes the playlist generating module to: arrange the programs in order of start time of the programs; determine a ratio of a duration of each program to a total duration of the programs in the playlist being greater than a preset threshold before adding a next program to the playlist; and wherein an end time of the next program is later than the end time of a previous program in the playlist; and an activating module, configured to activate the virtual channels, and play the programs in the playlist generated by the playlist generating module. 16. The terminal according to claim 15 , further comprising: a keyword list obtaining module, configured to obtain the keyword list and provide the keyword list for the channel list creating module; wherein: the keyword list obtaining module comprises at least one of the following: a keyword list receiving submodule, configured to receive the keyword list sent by a server; and a keyword list editing submodule, configured to receive an operation message from a user and edit the keyword list.
| 0.512917 |
6. The method of claim 1 , the selecting of the phrase-based classifier being based on the text data items being self-descriptive of an attribute of the users of the social networking site.
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6. The method of claim 1 , the selecting of the phrase-based classifier being based on the text data items being self-descriptive of an attribute of the users of the social networking site. 13. The method of claim 6 , wherein the attribute is a job title.
| 0.96519 |
17. The system for generating the demand groups, as recited in claim 16 , further comprising a weighting engine configured to assign weights to the assigned attributes, wherein the weights are used by the clustering of data of the products of the product listing.
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17. The system for generating the demand groups, as recited in claim 16 , further comprising a weighting engine configured to assign weights to the assigned attributes, wherein the weights are used by the clustering of data of the products of the product listing. 18. The system for generating the demand groups, as recited in claim 17 , wherein the weighting engine updates the weights of the assigned attributes when new product data becomes available.
| 0.959338 |
28. The system of claim 26 further comprising: one or more tables storing information on the one or more variations indicated in the retrieved word record, wherein the program instructions further include searching the one or more tables for information on the one or more variations matching the input query word responsive to the command to consider the one or more variations.
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28. The system of claim 26 further comprising: one or more tables storing information on the one or more variations indicated in the retrieved word record, wherein the program instructions further include searching the one or more tables for information on the one or more variations matching the input query word responsive to the command to consider the one or more variations. 29. The system of claim 28 , wherein one of the variations indicated in the retrieved word record is inclusion of a diacritic symbol, and the table stores information on the diacritic symbol.
| 0.909718 |
1. In a system comprising one or more computing devices, a method for automatically generating an audiovisual work, the method comprising: inferentially selecting one or more design animation modules from among a plurality of design animation modules to use to generate an audiovisual work based at least upon all of: (a) one or more first metadata values reflecting one or more detected visual characteristics of at least one of one or more digital visual media items, (b) one or more second metadata values reflecting one or more detected audio characteristics of at least one of one or more digital audio media items and comprising beat timing information pertaining to the at least one digital audio media item, and (c) one or more third metadata values associated with at least one of the plurality of design animation modules and comprising beat timing information pertaining to the at least one design animation module; wherein each design animation module of the plurality of design animation modules is an independent interchangeable unit that can be combined with other design animation modules of the plurality of design animation modules to form different audiovisual works; wherein the one or more selected design animation modules comprises the at least one design animation module; wherein inferentially selecting the at least one design animation module comprises comparing the beat timing information of the one or more second metadata values pertaining to the at least one digital audio media item to the beat timing information of the one or more third metadata values pertaining to the at least one design animation module; wherein the at least one design animation modules comprises a specification of an animation scene; assigning the at least one digital visual media item to the at least one design animation module including incorporating the at least one digital visual media item into the specification of the animation scene; and generating the audiovisual work using the one or more selected design animation modules, the one or more digital visual media items, and the one or more digital audio media items; wherein the method is performed by the one or more computing devices.
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1. In a system comprising one or more computing devices, a method for automatically generating an audiovisual work, the method comprising: inferentially selecting one or more design animation modules from among a plurality of design animation modules to use to generate an audiovisual work based at least upon all of: (a) one or more first metadata values reflecting one or more detected visual characteristics of at least one of one or more digital visual media items, (b) one or more second metadata values reflecting one or more detected audio characteristics of at least one of one or more digital audio media items and comprising beat timing information pertaining to the at least one digital audio media item, and (c) one or more third metadata values associated with at least one of the plurality of design animation modules and comprising beat timing information pertaining to the at least one design animation module; wherein each design animation module of the plurality of design animation modules is an independent interchangeable unit that can be combined with other design animation modules of the plurality of design animation modules to form different audiovisual works; wherein the one or more selected design animation modules comprises the at least one design animation module; wherein inferentially selecting the at least one design animation module comprises comparing the beat timing information of the one or more second metadata values pertaining to the at least one digital audio media item to the beat timing information of the one or more third metadata values pertaining to the at least one design animation module; wherein the at least one design animation modules comprises a specification of an animation scene; assigning the at least one digital visual media item to the at least one design animation module including incorporating the at least one digital visual media item into the specification of the animation scene; and generating the audiovisual work using the one or more selected design animation modules, the one or more digital visual media items, and the one or more digital audio media items; wherein the method is performed by the one or more computing devices. 27. The method of claim 1 , wherein: the beat timing information pertaining to the at least one digital audio item comprises one or more beat times and one or more associated weights; and the beat timing information pertaining to the at least one design animation module specifies a number of beats.
| 0.600785 |
10. A method performed by one or more server devices, the method comprising: receiving, by a blog search engine of the one or more server devices, a search query; identifying, by the blog search engine of the one or more server devices, a blog document that is responsive to the search query; generating, by the blog search engine of the one or more server devices, a relevance score for the blog document, the relevance score being based on a relevance of the blog document to the search query; generating, by the blog search engine of the one or more server devices, a quality score for the blog document, the quality score based on quality of the blog document independent of the search query, where the quality score is based on a plurality of indicators that include at least one of one or more positive indicators or one or more negative indicators, where the one or more positive indicators include an indication that the blog document is referenced in a blogroll; where the one or more negative indicators include a location of ads in the blog document; generating, by the blog search engine of the one or more server devices, a ranking score based on the relevance score and the quality score; and providing, by the blog search engine of the one or more server devices, information regarding the blog document based on the ranking score.
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10. A method performed by one or more server devices, the method comprising: receiving, by a blog search engine of the one or more server devices, a search query; identifying, by the blog search engine of the one or more server devices, a blog document that is responsive to the search query; generating, by the blog search engine of the one or more server devices, a relevance score for the blog document, the relevance score being based on a relevance of the blog document to the search query; generating, by the blog search engine of the one or more server devices, a quality score for the blog document, the quality score based on quality of the blog document independent of the search query, where the quality score is based on a plurality of indicators that include at least one of one or more positive indicators or one or more negative indicators, where the one or more positive indicators include an indication that the blog document is referenced in a blogroll; where the one or more negative indicators include a location of ads in the blog document; generating, by the blog search engine of the one or more server devices, a ranking score based on the relevance score and the quality score; and providing, by the blog search engine of the one or more server devices, information regarding the blog document based on the ranking score. 11. The method of claim 10 , where the one or more positive indicators include an existence of a link to the blog document in one or more blogrolls associated with other blog documents.
| 0.565026 |
6. A method, comprising: receiving a content at a server over a network; identifying a first token in the content using the server; determining a first probable measure of meaning (PMM) for the first token from a PMM database stored on the server; identifying at least two second tokens; determining a second PMM for each of the at least two second tokens from the PMM database stored on the server; using a proximity function (PF) to modify each of the second PMMs for each of the at least two second tokens, the proximity function factoring in the first token and a distance between the first token and each of the at least two second tokens; and generating a relative measure of meaning (RMM) for the first token, the RMM factoring in the first PMM for the first token and each of the modified PMMs for each of the at least two second tokens, according to R M M ( token n ) = P M M ( token n ) ⨯ Mean d i = - d ( P M M ( token n - i ) * P F ( token n , token n - i , i ) ) .
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6. A method, comprising: receiving a content at a server over a network; identifying a first token in the content using the server; determining a first probable measure of meaning (PMM) for the first token from a PMM database stored on the server; identifying at least two second tokens; determining a second PMM for each of the at least two second tokens from the PMM database stored on the server; using a proximity function (PF) to modify each of the second PMMs for each of the at least two second tokens, the proximity function factoring in the first token and a distance between the first token and each of the at least two second tokens; and generating a relative measure of meaning (RMM) for the first token, the RMM factoring in the first PMM for the first token and each of the modified PMMs for each of the at least two second tokens, according to R M M ( token n ) = P M M ( token n ) ⨯ Mean d i = - d ( P M M ( token n - i ) * P F ( token n , token n - i , i ) ) . 7. A method according to claim 6 , wherein: identifying a first token in the content using the server includes identifying a first sentence in content using the server; and identifying a second token includes identifying a second sentence.
| 0.723218 |
37. A computer system comprising: a computer processing unit receiving or generating documents in respective formats according to respective different applications through which the documents are generated or modified, which formats differ from one of the documents to another for at least some of the documents; computer storage facilities; said processing unit being configured to automatically generate and store in said computer storage facilities respective representations of said documents, thereby forming a main collection of document representations corresponding to a man collection of said documents; said processing unit automatically generating and storing said main collection of document representations without requiring the user to designate a directory structure, a physical location for storage of document representations of corresponding documents, or another pre-imposed document categorization structure for each of said document representations or documents; a computer screen and a display unit selectively displaying on the computer screen graphical depictions of only a portion of the main collection of document representations, corresponding to only a portion of the main collection of documents, wherein the displayed graphical depictions of only a portion of said main collection of document representations comprise a display of partly overlapping, receding graphical depictions of document representations; said automatically generated and stored document representations being in an essentially consistent format despite differences in format from one to another of the documents corresponding thereto; said automatically generated and stored representations of said documents including respective automatically generated time indicators associated with the documents corresponding to said representations; said automatically generated and stored main collection of document representations being unbounded in time and size and being configured to include documents associated with time indicators related to future times as well as to past and present times; said automatically generated and stored main collection of document representations requiring no fixed beginning or end and being non-transitory and selectively searchable by the computer system; said computer processing unit being configured to automatically maintain the main collection of document representations live, dynamic and persistent by being responsive to subsequent events to expand said main collection of document representations by automatically generating and incorporating therein, in said computer storage facilities, additional document representations of additional documents corresponding thereto that are subsequently received or generated thereby; said additional document representations also including automatically generated respective time indicators associated with the subsequently delivered or generated documents; said processing unit being further configured to receive selected search criteria; said processing unit being configured to respond to a receipt of said search criteria by searching at least one of said main collection of document representations and said main collection of documents according to said search criteria and provide search results, and to utilize said search results to generate a sub-collection of document representations related to a respective sub-collection of documents that comprise a subset of the main collection of documents; said processing unit being configured to automatically maintain said sub-collection of document representations live, dynamic and persistent, and being responsive to subsequent events to expand said sub-collection of document representations by automatically incorporating therein document representations of documents that are subsequently received by or generated and meet said search criteria; said display unit being configured to selectively display on the screen graphical depictions of only a portion of the sub-collection of document representations, corresponding to only a portion of said sub-collection of documents, wherein the displayed graphical depictions of said portion of said sub-collection of document representations comprise a display of partly overlapping, receding graphical depictions; said processing unit and display unit being configured to automatically show on the screen a display of a glance view of a displayed graphical depiction while showing on the screen other displayed graphical depictions as a display of partly overlapping and receding graphical depictions; said glance view being an abbreviated version of the document representation or document corresponding to the graphical depiction and being indicative of content thereof; and said showing of the glance view occurring in response to a user designation, with an input device, of a screen area associated with the graphical depiction, without requiring dwelling of a cursor for at least about a second on a selected area of the screen associated with the currently displayed collection or sub-collection of graphical depictions in order to enable said showing of the glance view.
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37. A computer system comprising: a computer processing unit receiving or generating documents in respective formats according to respective different applications through which the documents are generated or modified, which formats differ from one of the documents to another for at least some of the documents; computer storage facilities; said processing unit being configured to automatically generate and store in said computer storage facilities respective representations of said documents, thereby forming a main collection of document representations corresponding to a man collection of said documents; said processing unit automatically generating and storing said main collection of document representations without requiring the user to designate a directory structure, a physical location for storage of document representations of corresponding documents, or another pre-imposed document categorization structure for each of said document representations or documents; a computer screen and a display unit selectively displaying on the computer screen graphical depictions of only a portion of the main collection of document representations, corresponding to only a portion of the main collection of documents, wherein the displayed graphical depictions of only a portion of said main collection of document representations comprise a display of partly overlapping, receding graphical depictions of document representations; said automatically generated and stored document representations being in an essentially consistent format despite differences in format from one to another of the documents corresponding thereto; said automatically generated and stored representations of said documents including respective automatically generated time indicators associated with the documents corresponding to said representations; said automatically generated and stored main collection of document representations being unbounded in time and size and being configured to include documents associated with time indicators related to future times as well as to past and present times; said automatically generated and stored main collection of document representations requiring no fixed beginning or end and being non-transitory and selectively searchable by the computer system; said computer processing unit being configured to automatically maintain the main collection of document representations live, dynamic and persistent by being responsive to subsequent events to expand said main collection of document representations by automatically generating and incorporating therein, in said computer storage facilities, additional document representations of additional documents corresponding thereto that are subsequently received or generated thereby; said additional document representations also including automatically generated respective time indicators associated with the subsequently delivered or generated documents; said processing unit being further configured to receive selected search criteria; said processing unit being configured to respond to a receipt of said search criteria by searching at least one of said main collection of document representations and said main collection of documents according to said search criteria and provide search results, and to utilize said search results to generate a sub-collection of document representations related to a respective sub-collection of documents that comprise a subset of the main collection of documents; said processing unit being configured to automatically maintain said sub-collection of document representations live, dynamic and persistent, and being responsive to subsequent events to expand said sub-collection of document representations by automatically incorporating therein document representations of documents that are subsequently received by or generated and meet said search criteria; said display unit being configured to selectively display on the screen graphical depictions of only a portion of the sub-collection of document representations, corresponding to only a portion of said sub-collection of documents, wherein the displayed graphical depictions of said portion of said sub-collection of document representations comprise a display of partly overlapping, receding graphical depictions; said processing unit and display unit being configured to automatically show on the screen a display of a glance view of a displayed graphical depiction while showing on the screen other displayed graphical depictions as a display of partly overlapping and receding graphical depictions; said glance view being an abbreviated version of the document representation or document corresponding to the graphical depiction and being indicative of content thereof; and said showing of the glance view occurring in response to a user designation, with an input device, of a screen area associated with the graphical depiction, without requiring dwelling of a cursor for at least about a second on a selected area of the screen associated with the currently displayed collection or sub-collection of graphical depictions in order to enable said showing of the glance view. 47. The computer system of claim 37 in which said processing unit is configured to automatically organize said main collection of documents representations as a stream time-ordered according to said time indicators, without requiring a used command requesting time order.
| 0.522753 |
9. The method recited in claim 8 in which said step of transferring data set directories only transfers a said directory from said program source diskette if there is at least one programming module assigned to said corresponding data set.
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9. The method recited in claim 8 in which said step of transferring data set directories only transfers a said directory from said program source diskette if there is at least one programming module assigned to said corresponding data set. 10. The method recited in claim 9 further including the step of transferring feature programming modules from a feature program source diskette containing a selected feature program to said destination diskette, said feature programming module transfer step including first, transferring the said feature programming modules from said feature program source diskette to said destination diskette beginning with program modules which are assigned to the lowest order data sets while updating the corresponding said data set directories stored in said system and allocating space on said destination diskette for a new data set directory immediately following any feature programming modules previously transferred to said destination diskette, and recording all said transferred feature programming modules for that data set following said allocated space.
| 0.788905 |
10. An autonomous response apparatus, comprising: a processor implementing the steps of: automatically updating a context database, said context database containing one or more context elements selected from the group consisting of a score in a sporting contest, a value of a market index, a value of a commodity, a result of a poll and a result of a survey, or some combination thereof; using one or more of said context elements to generate a learned mood number (M l ); automatically updating a statement-response database, said updating including associating and storing said learned mood number with said response; receiving a natural language query; automatically generating at least two possible responses to said natural language query; automatically obtaining current values of said context elements corresponding to those used in generating said learned mood number; using said current values of said context elements to generate a current mood number (M c ); automatically weighting said possible responses using said learned mood value stored with said response and said current mood value using the formula: weight=1/(1+C|(M c )−(M l )|), where C is a constant related to a suitability of said possible response and | | indicates the absolute difference between the current and learned mood values; and, automatically selecting said lowest weighted response to generate a natural language response to said natural language query.
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10. An autonomous response apparatus, comprising: a processor implementing the steps of: automatically updating a context database, said context database containing one or more context elements selected from the group consisting of a score in a sporting contest, a value of a market index, a value of a commodity, a result of a poll and a result of a survey, or some combination thereof; using one or more of said context elements to generate a learned mood number (M l ); automatically updating a statement-response database, said updating including associating and storing said learned mood number with said response; receiving a natural language query; automatically generating at least two possible responses to said natural language query; automatically obtaining current values of said context elements corresponding to those used in generating said learned mood number; using said current values of said context elements to generate a current mood number (M c ); automatically weighting said possible responses using said learned mood value stored with said response and said current mood value using the formula: weight=1/(1+C|(M c )−(M l )|), where C is a constant related to a suitability of said possible response and | | indicates the absolute difference between the current and learned mood values; and, automatically selecting said lowest weighted response to generate a natural language response to said natural language query. 12. The apparatus of claim 10 wherein said statement-response database includes at least one ranked-list of response entries appropriate to a statement.
| 0.695893 |
17. The computer program product according to claim 16 , further comprising: eighth program instructions to read each line of said source code written in said source programming language; and ninth program instructions to parse said each line of said source code into said one or more source functions; and wherein said eighth and ninth program instructions are stored on said non-transitory computer readable storage medium.
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17. The computer program product according to claim 16 , further comprising: eighth program instructions to read each line of said source code written in said source programming language; and ninth program instructions to parse said each line of said source code into said one or more source functions; and wherein said eighth and ninth program instructions are stored on said non-transitory computer readable storage medium. 18. The computer program product according to claim 17 , further comprising: tenth program instructions to provide a target conversion table for transforming each of said one or more source functions of said source code into one or more target functions written in said one or more target programming languages selected; eleventh program instructions to look up said source function of said source code in said target conversion table in order to transform said source function of said source code into said equivalent target function; and wherein said tenth and eleventh program instructions are stored on said non-transitory computer readable storage medium.
| 0.764751 |
13. A computing device comprising: a memory configured to store computer-executable instructions; and a processor in communication with the memory configured to execute the computer-executable instructions to at least: receive, at the computing device, a query submitted by a user, the query submitted with a keyword; determine the keyword for the item based at least in part on a parsing of the query; access an interaction history for a plurality of users in a data store, the interaction history correlating a past search query with a completed action by the plurality of users based at least in part on a plurality of previous interactions by the plurality of users, the plurality of previous interactions including interactions by the plurality of users with search results of the past search query that were provided by the electronic marketplace responsive to the keyword; determine a category of a plurality of different categories, the category being associated with the completed action identified in the interaction history; determine that a number of interactions associated with the category that correspond with the completed action identified in the interaction history is more than a threshold amount; correlate the category with a preferred layout stored in the data store; adjust a generic item search network page of the electronic marketplace to comprise attributes of the preferred layout; and enable to display to the user search results responsive to the query using the preferred layout and absent a redirection to a specific item search network page.
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13. A computing device comprising: a memory configured to store computer-executable instructions; and a processor in communication with the memory configured to execute the computer-executable instructions to at least: receive, at the computing device, a query submitted by a user, the query submitted with a keyword; determine the keyword for the item based at least in part on a parsing of the query; access an interaction history for a plurality of users in a data store, the interaction history correlating a past search query with a completed action by the plurality of users based at least in part on a plurality of previous interactions by the plurality of users, the plurality of previous interactions including interactions by the plurality of users with search results of the past search query that were provided by the electronic marketplace responsive to the keyword; determine a category of a plurality of different categories, the category being associated with the completed action identified in the interaction history; determine that a number of interactions associated with the category that correspond with the completed action identified in the interaction history is more than a threshold amount; correlate the category with a preferred layout stored in the data store; adjust a generic item search network page of the electronic marketplace to comprise attributes of the preferred layout; and enable to display to the user search results responsive to the query using the preferred layout and absent a redirection to a specific item search network page. 15. The computing device of claim 13 , wherein the preferred layout identifies a number of images for each item or image rotation to enable to display to the user as search results.
| 0.635305 |
12. A pivotal bone anchor assembly for securing an elongate rod to a bone, the pivotal bone anchor assembly comprising: a receiver having a longitudinal axis, a lower body defining a cavity with a bottom opening and a pair of upwardly extending arms with opposed interior surfaces that define an open channel for receiving the elongate rod, the open channel communicating with the cavity to define a central bore, the open channel interior surfaces having a discontinuous helically wound guide and advancement structure formed thereon, the central bore including an interference structure formed therein that extends inwardly towards the longitudinal axis and is located below the guide and advancement structure; a shank having an upper end portion and an anchor portion extending distally from the upper end portion for attachment to the bone, the upper end portion being up-loadable into the receiver cavity through the bottom opening; a compression insert positionable within the central bore prior to the shank and having an upper surface configured to engage the elongate rod and a curved exterior surface configured to engage the receiver interference structure; and a retainer positionable within the receiver cavity prior to the shank and operable to capture the shank upper end portion, upon uploading through the bottom opening, in spaced relationship from an internal surface of the receiver cavity, the retainer having an upper portion that is at least partially receivable, in a side-to-side overlapping engageable relationship, within a recess formed into a lower portion of the compression insert, prior to the retainer capturing the shank upper end portion, wherein the retainer and compression insert are downwardly deployable within the receiver lower body after capture of the shank upper end portion until the exterior surface of the compression insert comes into a forced interference engagement with the receiver interference structure so as to prevent the compression insert from moving back up within the receiver central bore.
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12. A pivotal bone anchor assembly for securing an elongate rod to a bone, the pivotal bone anchor assembly comprising: a receiver having a longitudinal axis, a lower body defining a cavity with a bottom opening and a pair of upwardly extending arms with opposed interior surfaces that define an open channel for receiving the elongate rod, the open channel communicating with the cavity to define a central bore, the open channel interior surfaces having a discontinuous helically wound guide and advancement structure formed thereon, the central bore including an interference structure formed therein that extends inwardly towards the longitudinal axis and is located below the guide and advancement structure; a shank having an upper end portion and an anchor portion extending distally from the upper end portion for attachment to the bone, the upper end portion being up-loadable into the receiver cavity through the bottom opening; a compression insert positionable within the central bore prior to the shank and having an upper surface configured to engage the elongate rod and a curved exterior surface configured to engage the receiver interference structure; and a retainer positionable within the receiver cavity prior to the shank and operable to capture the shank upper end portion, upon uploading through the bottom opening, in spaced relationship from an internal surface of the receiver cavity, the retainer having an upper portion that is at least partially receivable, in a side-to-side overlapping engageable relationship, within a recess formed into a lower portion of the compression insert, prior to the retainer capturing the shank upper end portion, wherein the retainer and compression insert are downwardly deployable within the receiver lower body after capture of the shank upper end portion until the exterior surface of the compression insert comes into a forced interference engagement with the receiver interference structure so as to prevent the compression insert from moving back up within the receiver central bore. 16. The pivotal bone anchor assembly of claim 12 , wherein the retainer is downwardly deployable within the receiver until a lower portion of the retainer becomes wedged between the internal surface of the receiver cavity and the shank upper end portion so as lock the shank in a fixed angular orientation with respect to the receiver.
| 0.592215 |
8. A system comprising: a data store for storing data; and one or more processors configured to interact with the data store, the one or more processors being further configured to perform operations comprising: receiving a series of queries provided from a user device, the series of queries comprising two or more queries; determining a query pattern of the series of queries based on one or more entities and one or more aspects associated with the two or more queries, the determining comprising: for each query in the series of queries: determining a set of entities comprising one or more entities and described in the query, and determining a set of aspects comprising one or more aspects and described in the query; comparing sets of entities across queries in the series of queries; comparing sets of aspects across queries in the series of queries; determining that at least one of a set of aspects are consistent in each of the queries or a set of entities are consistent in each of the queries; and determining that the at least one of a set of aspects that are consistent in each of the queries or a set of entities that are consistent in each of the queries is a context of the queries, and that the context defines the query pattern; determining, at least partially based on the context defining the query pattern, that a teachable moment interface is to be displayed with search results on the user device; and transmitting content to be displayed in the teachable moment interface on a user device, the content including instructions to a user that instructs the user that the user need not include the content that defines the query pattern in queries that are subsequent to the series of queries.
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8. A system comprising: a data store for storing data; and one or more processors configured to interact with the data store, the one or more processors being further configured to perform operations comprising: receiving a series of queries provided from a user device, the series of queries comprising two or more queries; determining a query pattern of the series of queries based on one or more entities and one or more aspects associated with the two or more queries, the determining comprising: for each query in the series of queries: determining a set of entities comprising one or more entities and described in the query, and determining a set of aspects comprising one or more aspects and described in the query; comparing sets of entities across queries in the series of queries; comparing sets of aspects across queries in the series of queries; determining that at least one of a set of aspects are consistent in each of the queries or a set of entities are consistent in each of the queries; and determining that the at least one of a set of aspects that are consistent in each of the queries or a set of entities that are consistent in each of the queries is a context of the queries, and that the context defines the query pattern; determining, at least partially based on the context defining the query pattern, that a teachable moment interface is to be displayed with search results on the user device; and transmitting content to be displayed in the teachable moment interface on a user device, the content including instructions to a user that instructs the user that the user need not include the content that defines the query pattern in queries that are subsequent to the series of queries. 10. The system of claim 8 , wherein determining that a teachable moment interface is to be displayed with search results on the user device comprises determining that a number of times that a teachable moment interface has been displayed to a user is less than a threshold number of times.
| 0.503183 |
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