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3. The method of claim 1 , wherein determining that the selected sequence of keys corresponds to the character string that is identified using the format source comprises: sending, by the computing device, a request message to a remote service for data associated with the format source; receiving, by the computing device, a reply message from the remote service that includes the data associated with the format source.
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3. The method of claim 1 , wherein determining that the selected sequence of keys corresponds to the character string that is identified using the format source comprises: sending, by the computing device, a request message to a remote service for data associated with the format source; receiving, by the computing device, a reply message from the remote service that includes the data associated with the format source. 4. The method of claim 3 , wherein the data associated with the format source that is included in the reply message from the remote service comprises a regular expression, wherein the syntax comprises a character pattern specified by the regular expression, the method further comprising: applying, by the computing device, the regular expression to the character string to determine whether the character string matches the character pattern specified by the regular expression.
| 0.899795 |
6. A method for evaluating data related to at least one of: at least one available network of a mobile communication environment and system data of a mobile device in the mobile communication environment, the method comprising: receiving a currently configured set of rules including at least one rule, the at least one rule comprising at least one condition and at least one action, and the at least one condition includes at least one predicate, which qualifies the at least one condition, and at least one condition state; evaluating, via a hardware processor, the at least one condition and the at least one predicate of the at least one rule with at least the data related to at least one of the at least one available network of the mobile communication environment and the system data of the mobile device in the mobile communication environment; connecting to a database storing historical trend values, instant values, and environmental values, wherein the evaluating of the at least one condition includes applying the rules against at least one of the historical trend values, instant values, and environmental values; limiting a data set against which the at least one condition is to be evaluated with the at least one predicate, which includes at least one of: identity of specific users, identity of mobile devices, identity of groups of users, identity of devices using network interfaces with specific phone numbers, identity of devices operating in a defined geographic area, identity of devices with particular attributes or using network interface devices with particular attributes, specific days of the week or times of the day, and identity of devices experiencing specific operating environments such as a signal strength above or below a particular threshold for a particular period of time; and triggering the at least one action when at least one of: both the at least one condition and the at least one predicate evaluate to true; or the at least one action is stateful and both the at least one condition and the at least one predicate are evaluated to transition from true to false or from false to true.
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6. A method for evaluating data related to at least one of: at least one available network of a mobile communication environment and system data of a mobile device in the mobile communication environment, the method comprising: receiving a currently configured set of rules including at least one rule, the at least one rule comprising at least one condition and at least one action, and the at least one condition includes at least one predicate, which qualifies the at least one condition, and at least one condition state; evaluating, via a hardware processor, the at least one condition and the at least one predicate of the at least one rule with at least the data related to at least one of the at least one available network of the mobile communication environment and the system data of the mobile device in the mobile communication environment; connecting to a database storing historical trend values, instant values, and environmental values, wherein the evaluating of the at least one condition includes applying the rules against at least one of the historical trend values, instant values, and environmental values; limiting a data set against which the at least one condition is to be evaluated with the at least one predicate, which includes at least one of: identity of specific users, identity of mobile devices, identity of groups of users, identity of devices using network interfaces with specific phone numbers, identity of devices operating in a defined geographic area, identity of devices with particular attributes or using network interface devices with particular attributes, specific days of the week or times of the day, and identity of devices experiencing specific operating environments such as a signal strength above or below a particular threshold for a particular period of time; and triggering the at least one action when at least one of: both the at least one condition and the at least one predicate evaluate to true; or the at least one action is stateful and both the at least one condition and the at least one predicate are evaluated to transition from true to false or from false to true. 9. The method according to claim 6 , wherein the triggering comprises automatic generating notifications and alerts to enforce policy and responding to conditions based on the nature and content of collected information.
| 0.585143 |
1. A spine implant adapted to be attached to another spine implant wherein the another spine implant includes a first fastener secured to a first portion of a first vertebra and a second fastener secured to a second portion of the first vertebra, the spine implant including: an elongated member with a first end and a second end, said first end adapted to be secured to the first fastener and the second end adapted to be secured to the second fastener; the elongated member including a platform and a first spring located between the platform and the first end and a second spring located between the platform and the second end; and a vertical rod assembly having a first rod end connected to the platform, and a second rod end configured for attachment to a second vertebra; such that, when secured between the first vertebra and second vertebra, the vertical rod assembly transmits load from the second vertebra to the platform, the platform transmits said load to the first end of the elongated member via the first spring and the second end of the elongated member via the second spring, and the first end and second end of the elongated member transmit said load to the first vertebra via the first fastener and the second fastener.
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1. A spine implant adapted to be attached to another spine implant wherein the another spine implant includes a first fastener secured to a first portion of a first vertebra and a second fastener secured to a second portion of the first vertebra, the spine implant including: an elongated member with a first end and a second end, said first end adapted to be secured to the first fastener and the second end adapted to be secured to the second fastener; the elongated member including a platform and a first spring located between the platform and the first end and a second spring located between the platform and the second end; and a vertical rod assembly having a first rod end connected to the platform, and a second rod end configured for attachment to a second vertebra; such that, when secured between the first vertebra and second vertebra, the vertical rod assembly transmits load from the second vertebra to the platform, the platform transmits said load to the first end of the elongated member via the first spring and the second end of the elongated member via the second spring, and the first end and second end of the elongated member transmit said load to the first vertebra via the first fastener and the second fastener. 7. The spine implant of claim 1 wherein said first spring includes a coil spring and second spring includes a coil spring.
| 0.585779 |
7. A method, comprising: logging queries received from a plurality of users by an enterprise information system; using a clustering engine to identify clusters of the logged queries; generating names for the clusters of logged queries; using the generated names to create intent categories pertinent to the queries in the same clusters; using a linguistic matching language to match the queries in the same clusters with the intent categories; identifying ontologies associated with the intent categories; presenting concepts in the identified ontologies for selection by a user; assigning any of the selected concepts as ontology parameters for the associated intent categories; displaying intent responses for the ontology parameters assigned to the intent categories; configuring the intent responses for at least some of the intent categories; after matching queries to the intent categories, identifying ones of the intent categories matched with at least a first threshold number of the queries, and configuring all of the intent responses associated with said identified intent categories to be displayed together on an enterprise home web page if not currently configured to be displayed, wherein said display of all of the intent responses is visible to a user of the enterprise home web page; after matching queries to the intent categories, identifying ones of the intent categories that are not matched with at least a second threshold number of the queries, and removing a display configuration for intent responses for any of said identified intent categories if currently configured to be displayed; and after matching queries to the intent categories, for those ones of the intent categories with no associated intent response, identifying ones of the intent categories matched with at least a third threshold number of the questions, and initiating generation of an intent response for each of said identified intent categories.
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7. A method, comprising: logging queries received from a plurality of users by an enterprise information system; using a clustering engine to identify clusters of the logged queries; generating names for the clusters of logged queries; using the generated names to create intent categories pertinent to the queries in the same clusters; using a linguistic matching language to match the queries in the same clusters with the intent categories; identifying ontologies associated with the intent categories; presenting concepts in the identified ontologies for selection by a user; assigning any of the selected concepts as ontology parameters for the associated intent categories; displaying intent responses for the ontology parameters assigned to the intent categories; configuring the intent responses for at least some of the intent categories; after matching queries to the intent categories, identifying ones of the intent categories matched with at least a first threshold number of the queries, and configuring all of the intent responses associated with said identified intent categories to be displayed together on an enterprise home web page if not currently configured to be displayed, wherein said display of all of the intent responses is visible to a user of the enterprise home web page; after matching queries to the intent categories, identifying ones of the intent categories that are not matched with at least a second threshold number of the queries, and removing a display configuration for intent responses for any of said identified intent categories if currently configured to be displayed; and after matching queries to the intent categories, for those ones of the intent categories with no associated intent response, identifying ones of the intent categories matched with at least a third threshold number of the questions, and initiating generation of an intent response for each of said identified intent categories. 8. The method according to claim 7 , including using ontology elements associated with the enterprise information system as features for the clustering engine and then using at least some of the cluster names generated by the clustering engine to create the intent categories.
| 0.626289 |
2. The training system of claim 1 wherein at least one attribute of the plurality of attributes has a respective range of values including at least three sequentially ordered possible values.
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2. The training system of claim 1 wherein at least one attribute of the plurality of attributes has a respective range of values including at least three sequentially ordered possible values. 3. The training system of claim 2 wherein for at least one of the attributes, the at least one processor determines in which one of at least two discrete sub-ranges the value of the attribute resides, assigns a respective sub-range value, and employs the respective sub-range value to generate the plurality of hypothetical entities based at least in part on respective values of the plurality of attributes.
| 0.910171 |
1. A system for storing, searching and retrieval of a plurality of information objects of an arbitrary application domain, comprising: a distributed computer system comprising one or a plurality of computing devices connected with each other by communication lines, a connected logical storage network, wherein each node is an active unit of storage (AUS) and connections between nodes of said network are formed by links of one active units of storage to others, wherein every active unit of storage resides on one of the computing devices of said distributed computer system and comprises: at least one of said plurality of information objects (IOs), each of which is represented in a tree-like structure, a list of links to a certain plurality of other active units of storage by means of which said AUS participates in the operation of the logical storage network, and an associated program agent that allows performing operations on said AUS in connection with searching, storing and retrieving information by user requests using said list of links, wherein a program agent of each active unit of storage compares the IO incorporated into it with the IO of any other AUS and based on the comparison results computes the value of metric distance between the compared IOs and the IOs are electronic documents in the form of XML documents.
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1. A system for storing, searching and retrieval of a plurality of information objects of an arbitrary application domain, comprising: a distributed computer system comprising one or a plurality of computing devices connected with each other by communication lines, a connected logical storage network, wherein each node is an active unit of storage (AUS) and connections between nodes of said network are formed by links of one active units of storage to others, wherein every active unit of storage resides on one of the computing devices of said distributed computer system and comprises: at least one of said plurality of information objects (IOs), each of which is represented in a tree-like structure, a list of links to a certain plurality of other active units of storage by means of which said AUS participates in the operation of the logical storage network, and an associated program agent that allows performing operations on said AUS in connection with searching, storing and retrieving information by user requests using said list of links, wherein a program agent of each active unit of storage compares the IO incorporated into it with the IO of any other AUS and based on the comparison results computes the value of metric distance between the compared IOs and the IOs are electronic documents in the form of XML documents. 17. The system according to claim 1 , wherein the active units of storage dynamically rebuild their logical connections in response to every modification of information objects of AUS on the logical storage network.
| 0.709768 |
1. A computer-implemented method for generating an artificial environment within a memory of a computer, in which chemical identifiers that relate to a particular subject matter and which are described in at least one document are extracted and analyzed, the method comprising: submitting, in electronic form, a search to at least one document database for documents describing the subject matter using a defined search strategy; extrapolating, to a first array within the memory of the computer, at least one chemical identifier described in at least one document returned from the search, the extrapolating step using an extraction module comprising code executing in a processor; transforming each chemical identifier in the first array into a respective coded form having a range of values using a conversion module comprising code executing in the processor; populating the respective coded forms into a second array within the memory of the computer; generating a virtual n-dimensional array of nodes configured to encompass the range of values in the second array using a node array generator module comprising code executing in the processor, each node of the virtual n-dimensional array having an associated weight vector value based on the range of values in the second array; placing each coded form in the second array into a node of the virtual n-dimensional array according to an unsupervised learning algorithm using a placement module comprising code executing in the processor to effect a placement; and outputting a visual representation of the virtual n-dimensional array.
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1. A computer-implemented method for generating an artificial environment within a memory of a computer, in which chemical identifiers that relate to a particular subject matter and which are described in at least one document are extracted and analyzed, the method comprising: submitting, in electronic form, a search to at least one document database for documents describing the subject matter using a defined search strategy; extrapolating, to a first array within the memory of the computer, at least one chemical identifier described in at least one document returned from the search, the extrapolating step using an extraction module comprising code executing in a processor; transforming each chemical identifier in the first array into a respective coded form having a range of values using a conversion module comprising code executing in the processor; populating the respective coded forms into a second array within the memory of the computer; generating a virtual n-dimensional array of nodes configured to encompass the range of values in the second array using a node array generator module comprising code executing in the processor, each node of the virtual n-dimensional array having an associated weight vector value based on the range of values in the second array; placing each coded form in the second array into a node of the virtual n-dimensional array according to an unsupervised learning algorithm using a placement module comprising code executing in the processor to effect a placement; and outputting a visual representation of the virtual n-dimensional array. 10. The method of claim 1 ; further comprising associating, using a visualization module comprising code executing in the processor, specific visual markers to each numerical form based on at least the chemical identifier and bibliographic data found in a given patent document in the at least one document database.
| 0.772307 |
16. The method of claim 1, wherein the comparison inequality function comprises the relationship: EQU CIF(S,T.sub.i).ltoreq.LPC+TRI where CIF is the comparison inequality function, LPC is a Leading Partial Correlation sum, and TRI is a Template Residual Intensity sum representing the template image intensity data remaining in the CIF as the correlation calculation proceeds.
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16. The method of claim 1, wherein the comparison inequality function comprises the relationship: EQU CIF(S,T.sub.i).ltoreq.LPC+TRI where CIF is the comparison inequality function, LPC is a Leading Partial Correlation sum, and TRI is a Template Residual Intensity sum representing the template image intensity data remaining in the CIF as the correlation calculation proceeds. 17. The method of claim 16, wherein the comparison inequality function is the relationship: ##EQU10##
| 0.93943 |
15. A method of recognizing emotional states in a voice of a telephone caller, the method comprising: providing a first plurality of voice samples; obtaining a second plurality of voice samples of a telephone caller, from a telephone call; identifying each sample of said pluralities of samples as belonging to a predominant emotional state; dividing each sample into at least one of frames, subframes, and segments; extracting at least one acoustic feature for each sample of the pluralities of samples; calculating statistics of the speech samples from the at least one feature; classifying an emotional state in the first plurality of samples with at least one neural network; training the at least one neural network to recognize an emotional state from the statistics by comparing the results of identifying and classifying for the first plurality of samples; classifying an emotion in the second plurality of voice samples obtained from a telephone call with the at least one trained neural network; storing the voice samples and the emotional states in a storage medium, in a manner to allow later retrieval of the stored voice samples and emotional states; outputting in a human-recognizable format an indication of the emotional state of the telephone caller; and routing the call containing said voice samples to at least one predetermined location according to the at least one classified emotional state.
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15. A method of recognizing emotional states in a voice of a telephone caller, the method comprising: providing a first plurality of voice samples; obtaining a second plurality of voice samples of a telephone caller, from a telephone call; identifying each sample of said pluralities of samples as belonging to a predominant emotional state; dividing each sample into at least one of frames, subframes, and segments; extracting at least one acoustic feature for each sample of the pluralities of samples; calculating statistics of the speech samples from the at least one feature; classifying an emotional state in the first plurality of samples with at least one neural network; training the at least one neural network to recognize an emotional state from the statistics by comparing the results of identifying and classifying for the first plurality of samples; classifying an emotion in the second plurality of voice samples obtained from a telephone call with the at least one trained neural network; storing the voice samples and the emotional states in a storage medium, in a manner to allow later retrieval of the stored voice samples and emotional states; outputting in a human-recognizable format an indication of the emotional state of the telephone caller; and routing the call containing said voice samples to at least one predetermined location according to the at least one classified emotional state. 17. The method of claim 15 , wherein the storage medium is random access memory.
| 0.656495 |
1. A method for inferring problem data from bug repositories, the method comprising; identifying a plurality of phrases that are repeated in a bug report; selecting a first phrase from the plurality of phrases to keep and a second phrase from the plurality of phrases to drop based on a meaning of the first phrase being greater in significance in the bug report than a meaning of the second phrase; mapping the first phrase to one or more of a plurality of classes of an ontology model associated with the bug report, the ontology model defining valid interactions between the plurality of classes; determining whether the first phrase corresponds to a valid interaction defined by the ontology model; and based on determining the first phrase corresponds to a valid interaction in the ontology model, generating an output corresponding to the mapping for use in analyzing the bug report.
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1. A method for inferring problem data from bug repositories, the method comprising; identifying a plurality of phrases that are repeated in a bug report; selecting a first phrase from the plurality of phrases to keep and a second phrase from the plurality of phrases to drop based on a meaning of the first phrase being greater in significance in the bug report than a meaning of the second phrase; mapping the first phrase to one or more of a plurality of classes of an ontology model associated with the bug report, the ontology model defining valid interactions between the plurality of classes; determining whether the first phrase corresponds to a valid interaction defined by the ontology model; and based on determining the first phrase corresponds to a valid interaction in the ontology model, generating an output corresponding to the mapping for use in analyzing the bug report. 3. The method of claim 1 further comprising tagging the first phrase with a class from the one or more classes of the ontology model maintained as part of the knowledge base.
| 0.681232 |
5. Method according to claim 2 , wherein said step of estimating text baselines comprises a step of clustering eigenpoints into eigenpoint groups, wherein said eigenpoint groups fulfil at least one of the following conditions: a point to point distance between the eigenpoints of the group is below a first distance threshold, a point to line distance between each eigenpoint of the group and a line formed by the eigenpoints of the group is below a second distance threshold, an off horizontal angle of the line formed by the eigenpoints of the group is below a maximum angle, and the eigenpoint group contains a minimum number of eigenpoints; and wherein said text baselines are estimated based on said eigenpoint groups.
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5. Method according to claim 2 , wherein said step of estimating text baselines comprises a step of clustering eigenpoints into eigenpoint groups, wherein said eigenpoint groups fulfil at least one of the following conditions: a point to point distance between the eigenpoints of the group is below a first distance threshold, a point to line distance between each eigenpoint of the group and a line formed by the eigenpoints of the group is below a second distance threshold, an off horizontal angle of the line formed by the eigenpoints of the group is below a maximum angle, and the eigenpoint group contains a minimum number of eigenpoints; and wherein said text baselines are estimated based on said eigenpoint groups. 6. Method according to claim 5 , wherein said first distance threshold, said second distance threshold, said maximum angle and said minimum number of eigenpoints are set adaptively based on content of the image.
| 0.804617 |
92. A machine-readable storage medium storing one or more sequences of instructions for processing a query, which instructions, when executed by one or more processors, cause the one or more processors to perform steps comprising: receiving the query, wherein the query comprises one or more query blocks; establishing a current-best query based on the query; determining a set of candidate queries and costs, wherein the costs include a cost corresponding to each candidate query in the set of candidate queries, wherein each candidate query in the set of candidate queries is determined based on the current-best query and an alternative state of a particular query block of the one or more query blocks, wherein if a specific cost associated with a specific candidate query satisfies a first particular mathematical relationship with a current-best cost for the current-best query, then the specific candidate query is established as the current-best query; wherein each candidate query in the set of candidate queries is semantically equivalent to the query; choosing a particular query from the set of candidate queries based on the costs for the candidate queries in the set of candidate queries; and executing the particular query in response to a request to execute the query.
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92. A machine-readable storage medium storing one or more sequences of instructions for processing a query, which instructions, when executed by one or more processors, cause the one or more processors to perform steps comprising: receiving the query, wherein the query comprises one or more query blocks; establishing a current-best query based on the query; determining a set of candidate queries and costs, wherein the costs include a cost corresponding to each candidate query in the set of candidate queries, wherein each candidate query in the set of candidate queries is determined based on the current-best query and an alternative state of a particular query block of the one or more query blocks, wherein if a specific cost associated with a specific candidate query satisfies a first particular mathematical relationship with a current-best cost for the current-best query, then the specific candidate query is established as the current-best query; wherein each candidate query in the set of candidate queries is semantically equivalent to the query; choosing a particular query from the set of candidate queries based on the costs for the candidate queries in the set of candidate queries; and executing the particular query in response to a request to execute the query. 107. The machine-readable storage medium of claim 92 , wherein the instructions that cause establishing the current-best query comprise instructions which, when executed by the one or more processors, cause the one or more processors to perform the steps of: determining a starting query based on the query and one or more heuristics; and establishing the starting query as the current-best query.
| 0.775154 |
6. The method of claim 5 further comprising: creating a second in-memory object to store multiple association value IDs for the entity-key association strings in the first in-memory object, the association value IDs used to retrieve the association values of the entity-key associations represented by the entity-key association strings.
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6. The method of claim 5 further comprising: creating a second in-memory object to store multiple association value IDs for the entity-key association strings in the first in-memory object, the association value IDs used to retrieve the association values of the entity-key associations represented by the entity-key association strings. 8. The method of claim 6 , wherein creating the first in-memory object and the second in-memory object includes: splitting the first in-memory object and the second in-memory object into multiple shards, wherein at least some of the shards include a subset of the entity-key associations from the first in-memory object and corresponding association value IDs from the second in-memory object, distributing the shards to multiple servers in a computer network, and loading the shards into a memory of at least some of the servers.
| 0.797063 |
3. The method of claim 2 , further comprising tagging words of the factual descriptions with their parts of speech.
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3. The method of claim 2 , further comprising tagging words of the factual descriptions with their parts of speech. 4. The method of claim 3 , wherein tagging words of the factual descriptions with their parts of speech comprises applying a noun tag when a word may be either a verb or a noun.
| 0.957396 |
19. The computer readable storage medium of claim 8 comprising calculating expected weights of evidence for remaining tasks of the assessment based upon the updated student model, the student model being updated based upon evidence received in response to a question of the assessment.
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19. The computer readable storage medium of claim 8 comprising calculating expected weights of evidence for remaining tasks of the assessment based upon the updated student model, the student model being updated based upon evidence received in response to a question of the assessment. 20. The computer readable storage medium of claim 19 , the processing instructions, when executed, causing the processor to select a next task relating to a same proficiency as a prior task, next task having a different representation than the prior task, the student model being updated based upon evidence associated with the prior task.
| 0.899062 |
1. A computer-implemented method of optical character recognition, comprising: receiving at a computer a plurality of proposed character assignments for at least one instance of a character in an image on which optical character recognition is being performed, each of the character assignments representing a character determined from a character set for the at least one instance of the character by the optical character recognition, the at least one instance of the character residing in one or more multi-character character strings, at least one of the multi-character character strings known to exclude a subset of at least one character from the character set based at least in part on the at least one multi-character string's location in the image; and eliminating at least one of the proposed character assignments by comparing the at least one of the proposed character assignments to the subset of at least one character excluded from the at least one multi-character character string.
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1. A computer-implemented method of optical character recognition, comprising: receiving at a computer a plurality of proposed character assignments for at least one instance of a character in an image on which optical character recognition is being performed, each of the character assignments representing a character determined from a character set for the at least one instance of the character by the optical character recognition, the at least one instance of the character residing in one or more multi-character character strings, at least one of the multi-character character strings known to exclude a subset of at least one character from the character set based at least in part on the at least one multi-character string's location in the image; and eliminating at least one of the proposed character assignments by comparing the at least one of the proposed character assignments to the subset of at least one character excluded from the at least one multi-character character string. 29. The method of claim 1 wherein the image comprises a specified format comprising a plurality of fields, and further wherein the at least one multi-character string's location in the image used to determine the excluded subset of at least one character from the character set comprises the at least one multi-character string's location in a particular one of the plurality of fields.
| 0.69509 |
10. The executable software product of claim 9 wherein the set of descriptors comprise: annotation descriptors that annotate content elements found in the POD in order to identify basic pieces of information that constitute the attributes of the objects to extract; and object descriptors comprising object schemas that define which attributes defined by at least one of the annotation descriptors and other object descriptors, compose each of the objects to extract, and a set of semantic and spatial constraints and preferences that define expected spatial arrangement of the attributes defined in the object descriptors.
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10. The executable software product of claim 9 wherein the set of descriptors comprise: annotation descriptors that annotate content elements found in the POD in order to identify basic pieces of information that constitute the attributes of the objects to extract; and object descriptors comprising object schemas that define which attributes defined by at least one of the annotation descriptors and other object descriptors, compose each of the objects to extract, and a set of semantic and spatial constraints and preferences that define expected spatial arrangement of the attributes defined in the object descriptors. 15. The executable software product of claim 10 , further comprising program instructions for: creating object instances by searching for annotated content elements in the SSDM that compose given objects as defined by the object descriptors.
| 0.835787 |
1. In a computing environment, a method performed at least in part on at least one processor, the method comprising: receiving sets of input data corresponding to a plurality of input modalities, the received sets of input data including a first set of input data and a second set of input data, the first set of input data being associated with a first input modality from the plurality of input modalities, the second set of input data being associated with a second input modality from the plurality of input modalities, the first input modality being a speech or text input modality and the second input modality being a gesture input modality; selecting the first set of input data and the second set of input data; identifying, within a dictionary, speech or text input for the first set of input data and a gesture for the second set of input data to determine a meaning of a combination of the first and second set of input data; and providing output data for input by a program, the output data corresponding to the meaning of the first and second set of input data.
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1. In a computing environment, a method performed at least in part on at least one processor, the method comprising: receiving sets of input data corresponding to a plurality of input modalities, the received sets of input data including a first set of input data and a second set of input data, the first set of input data being associated with a first input modality from the plurality of input modalities, the second set of input data being associated with a second input modality from the plurality of input modalities, the first input modality being a speech or text input modality and the second input modality being a gesture input modality; selecting the first set of input data and the second set of input data; identifying, within a dictionary, speech or text input for the first set of input data and a gesture for the second set of input data to determine a meaning of a combination of the first and second set of input data; and providing output data for input by a program, the output data corresponding to the meaning of the first and second set of input data. 4. The method of claim 1 wherein accessing a dictionary to determine a meaning of the first and second set of input data comprises accessing a dictionary to determine a combined meaning of the first and second set of input data.
| 0.548934 |
16. A computer system implemented method for managing product knowledge comprising a plurality of data items related to products offered for sale by a selling entity, the computer system including a memory arrangement and at least one processing unit, the method comprising: defining a data model of data categories, the data model establishing relationships between data categories; receiving in the computer system one or more particular data items corresponding to one or more of the data categories; receiving user-defined relationship information for the particular data item, the relationship information relating the particular data item to one or more other data items; and presenting the product knowledge, including information about the particular data item, to a user of the system in a manner established by the data model and the user-defined relationship; wherein the data model is constructed from one or more data instance items interconnected using the user-defined relationship items for each data instance item.
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16. A computer system implemented method for managing product knowledge comprising a plurality of data items related to products offered for sale by a selling entity, the computer system including a memory arrangement and at least one processing unit, the method comprising: defining a data model of data categories, the data model establishing relationships between data categories; receiving in the computer system one or more particular data items corresponding to one or more of the data categories; receiving user-defined relationship information for the particular data item, the relationship information relating the particular data item to one or more other data items; and presenting the product knowledge, including information about the particular data item, to a user of the system in a manner established by the data model and the user-defined relationship; wherein the data model is constructed from one or more data instance items interconnected using the user-defined relationship items for each data instance item. 29. A method, according to claim 16, further comprising defining an association between a descriptor and an associated value.
| 0.583599 |
10. A computer program product comprising a non-transitory computer readable medium encoding instructions that, in response to execution by a computing device, cause the computing device to perform operations comprising: converting a set of driver history data to a set of learning parameters; analyzing the set of learning parameters and current journey data describing a current journey to generate estimated journey data describing one or more potential journeys; retrieving a set of current status data; determining a destination for each of the one or more potential journeys, a direction for each of the one or more potential journeys, a time of day for each of the one or more potential journeys, and day of the week for each of the one or more potential journeys; calculating a joint conditional probability metric for each potential journey of the one or more potential journeys based on the destination, the direction, the time of day, and the day of the week associated with the potential journey; determining a quality score for each potential journey of the one or more potential journeys based on the joint conditional probability metric associated with the potential journey; outputting display data for depicting the one or more potential journeys and the quality score associated with each of the one or more potential journeys on a display; and storing the current journey data as additional driver history data.
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10. A computer program product comprising a non-transitory computer readable medium encoding instructions that, in response to execution by a computing device, cause the computing device to perform operations comprising: converting a set of driver history data to a set of learning parameters; analyzing the set of learning parameters and current journey data describing a current journey to generate estimated journey data describing one or more potential journeys; retrieving a set of current status data; determining a destination for each of the one or more potential journeys, a direction for each of the one or more potential journeys, a time of day for each of the one or more potential journeys, and day of the week for each of the one or more potential journeys; calculating a joint conditional probability metric for each potential journey of the one or more potential journeys based on the destination, the direction, the time of day, and the day of the week associated with the potential journey; determining a quality score for each potential journey of the one or more potential journeys based on the joint conditional probability metric associated with the potential journey; outputting display data for depicting the one or more potential journeys and the quality score associated with each of the one or more potential journeys on a display; and storing the current journey data as additional driver history data. 16. The computer program product of claim 10 , wherein different quality scores are associated with different journeys.
| 0.706207 |
5. A computer program product, comprising: a non-transitory computer-readable medium comprising: code for causing a computer to generate a virtual keypad, the virtual keypad comprising a plurality of keys including numeric keys, one or more of the numeric keys having alphabetic characters associated therewith, wherein the size of each key is dependent at least in part on the location of the key in reference to a corner or edge of a touch-screen display, the virtual keypad to be displayed on the touch-screen display; wherein the code for causing the computer to generate a virtual keypad further comprises code for causing the computer to arrange the plurality of keys in rows and columns wherein a subset of the plurality of keys are located along an edge of the touch screen display and at least one of the plurality of keys is not located along an edge of the touch-screen display and each of the remainder of the plurality of keys are located along an edge of the touch-screen display, wherein the at least one of the plurality of keys not located along an edge of the touch-screen display is larger than the remainder of the plurality of keys; and wherein one or more of the plurality of keys having contact with an edge of the touch-screen display but not located in a corner of the touch-screen display are larger than one or more of the plurality of keys located in a corner and smaller that the at least one of the plurality of keys not located along an edge of the touch-screen display.
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5. A computer program product, comprising: a non-transitory computer-readable medium comprising: code for causing a computer to generate a virtual keypad, the virtual keypad comprising a plurality of keys including numeric keys, one or more of the numeric keys having alphabetic characters associated therewith, wherein the size of each key is dependent at least in part on the location of the key in reference to a corner or edge of a touch-screen display, the virtual keypad to be displayed on the touch-screen display; wherein the code for causing the computer to generate a virtual keypad further comprises code for causing the computer to arrange the plurality of keys in rows and columns wherein a subset of the plurality of keys are located along an edge of the touch screen display and at least one of the plurality of keys is not located along an edge of the touch-screen display and each of the remainder of the plurality of keys are located along an edge of the touch-screen display, wherein the at least one of the plurality of keys not located along an edge of the touch-screen display is larger than the remainder of the plurality of keys; and wherein one or more of the plurality of keys having contact with an edge of the touch-screen display but not located in a corner of the touch-screen display are larger than one or more of the plurality of keys located in a corner and smaller that the at least one of the plurality of keys not located along an edge of the touch-screen display. 6. The computer program product of claim 5 , wherein the non-transitory computer-readable medium further comprises: code for causing the computer to receive a user selection of one or more of the plurality of keys; code for causing the computer to determine a text algorithm that has been selected for data entry; code for causing the computer to output one or more characters or words to the touch-screen display based on the user selection and the text algorithm.
| 0.5 |
11. The computer readable storage medium of claim 10 , wherein selecting the first word usage sense from the plurality of word usage senses associated with the first search term, comprises: for each of the plurality of word usage senses: determining a plurality of lexical component scores by applying a plurality of lexical analysis techniques using a respective word usage sense and a context window of words surrounding the first search term, applying a weighting factor to each lexical component score, and adding the lexical component scores to determine a total score for a respective word usage sense; and selecting the word usage sense with a highest total score as the first word usage sense.
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11. The computer readable storage medium of claim 10 , wherein selecting the first word usage sense from the plurality of word usage senses associated with the first search term, comprises: for each of the plurality of word usage senses: determining a plurality of lexical component scores by applying a plurality of lexical analysis techniques using a respective word usage sense and a context window of words surrounding the first search term, applying a weighting factor to each lexical component score, and adding the lexical component scores to determine a total score for a respective word usage sense; and selecting the word usage sense with a highest total score as the first word usage sense. 16. The computer readable storage medium of claim 11 , wherein one of the lexical analysis techniques comprises calculating a value based upon the number of words in the context window of words that are hyponyms of the first word usage sense.
| 0.867287 |
1. A user-interface method of selecting and presenting a collection of items in which the presentation is ordered at least in part based on navigation and selection behavior of a user learned over time, the method comprising: providing access to a set of items; associating an initial relevance weight, on a per user basis, with each of a plurality of the items of the set to indicate a relative measure of a likelihood that the item is desired by the user; receiving input entered by the user for identifying desired items; in response to the input entered by the user, selecting and presenting a subset of items to the user as a navigable topology of items wherein the items are ordered at least in part by the initial associated relevance weights associated with the items; receiving input entered by the user for navigating through the topology of the subset of items and for identifying and selecting the desired items; in response to a selection by the user of an item, presenting said item to the user and adjusting the associated relevance weight of said item; subsequent to adjusting the associated relevance weight of any of the items, selecting and presenting a subset of items to the user wherein the items are ordered at least in part by the adjusted associated relevance weights assigned to the items such that items with greater associated relevance weights are presented as more relevant items.
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1. A user-interface method of selecting and presenting a collection of items in which the presentation is ordered at least in part based on navigation and selection behavior of a user learned over time, the method comprising: providing access to a set of items; associating an initial relevance weight, on a per user basis, with each of a plurality of the items of the set to indicate a relative measure of a likelihood that the item is desired by the user; receiving input entered by the user for identifying desired items; in response to the input entered by the user, selecting and presenting a subset of items to the user as a navigable topology of items wherein the items are ordered at least in part by the initial associated relevance weights associated with the items; receiving input entered by the user for navigating through the topology of the subset of items and for identifying and selecting the desired items; in response to a selection by the user of an item, presenting said item to the user and adjusting the associated relevance weight of said item; subsequent to adjusting the associated relevance weight of any of the items, selecting and presenting a subset of items to the user wherein the items are ordered at least in part by the adjusted associated relevance weights assigned to the items such that items with greater associated relevance weights are presented as more relevant items. 4. The method of claim 1 , further comprising: determining a context in which the user preformed the selection actions, the context including at least one of geographic location of the user, day, date, and time; and associating the contexts of the user selection actions with the adjusted relevance weighting of content items learned from the corresponding user selections; wherein only adjusted relevance weightings associated with the context in which the user enters a subsequent input are used in the selecting and ordering of the content items.
| 0.789272 |
12. A computer system comprising: a graphics card comprising graphics memory and a graphics processing unit; a central processing unit coupled to computer memory and the graphics card; an application program executing on the central processing unit and requesting parallel processing; an interpreter executing on the central processing unit, the interpreter performing a method comprising: receiving a request from the application program in the form of a parallel processing request, creating an expression graph responsive to the parallel processing request, the expression graph comprising two or more texture coordinate operations along a path, wherein the two or more texture coordinate operations comprise memory reads of one or more shared input arrays, creating a modified expression graph by: identifying a node of the expression graph comprising at least one of the two or more texture coordinate operations, deleting the identified node from the expression graph, and adding a node comprising a texture read operation comprising memory reads of the one or more shared input arrays to a leaf of the expression graph, producing a modified expression graph, generating shader programs from the modified expression graph, invoking the created shader programs on the graphics processor to obtain a parallel processing output, and returning the parallel processing output to the application program as a response to the received request.
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12. A computer system comprising: a graphics card comprising graphics memory and a graphics processing unit; a central processing unit coupled to computer memory and the graphics card; an application program executing on the central processing unit and requesting parallel processing; an interpreter executing on the central processing unit, the interpreter performing a method comprising: receiving a request from the application program in the form of a parallel processing request, creating an expression graph responsive to the parallel processing request, the expression graph comprising two or more texture coordinate operations along a path, wherein the two or more texture coordinate operations comprise memory reads of one or more shared input arrays, creating a modified expression graph by: identifying a node of the expression graph comprising at least one of the two or more texture coordinate operations, deleting the identified node from the expression graph, and adding a node comprising a texture read operation comprising memory reads of the one or more shared input arrays to a leaf of the expression graph, producing a modified expression graph, generating shader programs from the modified expression graph, invoking the created shader programs on the graphics processor to obtain a parallel processing output, and returning the parallel processing output to the application program as a response to the received request. 15. The computer system of claim 12 wherein a determination is made to compose the two or more texture coordinate operations, wherein the determination is made based on a data structure identifying composable texture coordinate operations.
| 0.570566 |
1. A method of creating business process files comprising: selecting a document management application for processing; selecting a set of documents to be processed by the document management application; utilizing a business process file wizard that defines one or more fields in the document management application; said business process file wizard configured to generate business process files with at least one verification action and at least one notification action; presenting to a user different tabs for selection by the user; said selection responsive to types of entries supported by the set of documents to be processed; requesting from the user verification of at least one document from the set of documents to be processed; prompting the user for manual entries to enter additional comments on the set of documents to be processed; accepting from the user information of notifications to be sent; generating a model for each document in the set of documents processed; using an editor to generate an instance of the model; where the instance contains only elements relevant to the selected document management application; where the editor supports instantiation of a model for each document management application; identifying an area in the document management application in which a value of a defined field is located; processing selected fields with the document management application; generating a first file for information related to source and storage of at least one document from the set of documents, generating a second file for configuring settings of the document management application; generating a third file for specifying optical character recognition and file format used by an input device of the at least one document from the set of documents; generating a fourth file for documenting creation of the business process files; and generating additional implementation code corresponding to the business process files, if the user makes changes to the business process files, where changes to the business process files are made by generating a new model of the document to be changed.
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1. A method of creating business process files comprising: selecting a document management application for processing; selecting a set of documents to be processed by the document management application; utilizing a business process file wizard that defines one or more fields in the document management application; said business process file wizard configured to generate business process files with at least one verification action and at least one notification action; presenting to a user different tabs for selection by the user; said selection responsive to types of entries supported by the set of documents to be processed; requesting from the user verification of at least one document from the set of documents to be processed; prompting the user for manual entries to enter additional comments on the set of documents to be processed; accepting from the user information of notifications to be sent; generating a model for each document in the set of documents processed; using an editor to generate an instance of the model; where the instance contains only elements relevant to the selected document management application; where the editor supports instantiation of a model for each document management application; identifying an area in the document management application in which a value of a defined field is located; processing selected fields with the document management application; generating a first file for information related to source and storage of at least one document from the set of documents, generating a second file for configuring settings of the document management application; generating a third file for specifying optical character recognition and file format used by an input device of the at least one document from the set of documents; generating a fourth file for documenting creation of the business process files; and generating additional implementation code corresponding to the business process files, if the user makes changes to the business process files, where changes to the business process files are made by generating a new model of the document to be changed. 6. The method of claim 1 , further comprising generating user specifications that determine whether additional fields remain for definition.
| 0.503409 |
10. A device to detect similar documents, the device comprising: a storage device including a memory component; an entity extractor stored on the storage device and configured to extract entities from a first web document and a second web document from among web documents and determine importance contribution elements from the entities of the first web document and the second web document; a weight calculator configured to calculate weights of the entities based on the determined importance contribution elements; a similar document detector configured to calculate characteristic indexes for each of the first web document and the second web document by extracting hash values for the entities, and subsequently calculating the characteristic indexes by applying the weights to the hash values for the entities, determine whether the first web document and the second web document are similar to each other based on the calculated characteristic indexes, and delete one of the first web document and the second web document if the first web document and the second web document are determined to be similar to each other, wherein each of the importance contribution elements includes a frequency of which each of the entities is duplicated within the web documents.
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10. A device to detect similar documents, the device comprising: a storage device including a memory component; an entity extractor stored on the storage device and configured to extract entities from a first web document and a second web document from among web documents and determine importance contribution elements from the entities of the first web document and the second web document; a weight calculator configured to calculate weights of the entities based on the determined importance contribution elements; a similar document detector configured to calculate characteristic indexes for each of the first web document and the second web document by extracting hash values for the entities, and subsequently calculating the characteristic indexes by applying the weights to the hash values for the entities, determine whether the first web document and the second web document are similar to each other based on the calculated characteristic indexes, and delete one of the first web document and the second web document if the first web document and the second web document are determined to be similar to each other, wherein each of the importance contribution elements includes a frequency of which each of the entities is duplicated within the web documents. 11. The device of claim 10 , further comprising: a clustering unit configured to cluster the web documents into one cluster.
| 0.564069 |
1. At least one machine-readable storage medium comprising machine-readable instructions that, when executed by the machine, cause the machine to perform a method comprising: receiving at least one indication of at least one user edit to a portion of a document; representing the portion of the document as a node within a hierarchical representation of the document; determining a type of the node; determining whether a customized editor is available for the portion of the document; and when the customized editor is available, populating at least part of the customized editor dynamically based, at least in part, on (i) the type of the node, (ii) imported classes from a schema, and (iii) at least one restriction that is specified by an enum in the schema and that is applicable to the node.
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1. At least one machine-readable storage medium comprising machine-readable instructions that, when executed by the machine, cause the machine to perform a method comprising: receiving at least one indication of at least one user edit to a portion of a document; representing the portion of the document as a node within a hierarchical representation of the document; determining a type of the node; determining whether a customized editor is available for the portion of the document; and when the customized editor is available, populating at least part of the customized editor dynamically based, at least in part, on (i) the type of the node, (ii) imported classes from a schema, and (iii) at least one restriction that is specified by an enum in the schema and that is applicable to the node. 10. The machine-readable storage medium of claim 1 , wherein the document is an XML document.
| 0.594787 |
1. A computer based entity usable as a robot control system, the computer based entity comprising: memory; at least one sensor capable of discerning characteristics of objects in an environment; a perceive routine stored in the memory and operative to form percepts and store the percepts in the memory, each percept associating the discerned characteristics of a respective one of the objects, the perceive routine being further operative to identify subsequently encountered objects by comparing discerned characteristics of the subsequently encountered objects with the stored percepts; a plurality of attributes stored in the memory, wherein at least one such attribute defines the vitality of the entity; a plurality of action routines stored in the memory and operative to invoke actions by the computer based entity, at least one of which will affect the vitality of the entity; and an action selection routine stored in the memory and operative to select one of the actions when one of the objects is perceived and to store data associating the perceived object with the subsequent effect of the selected action on the attributes, the actions being selected based on a likely effect on the vitality of the entity, the action selection routine randomly selecting an action when there is insufficient stored data to determine the likely effect of a particular action on the vitality of the entity.
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1. A computer based entity usable as a robot control system, the computer based entity comprising: memory; at least one sensor capable of discerning characteristics of objects in an environment; a perceive routine stored in the memory and operative to form percepts and store the percepts in the memory, each percept associating the discerned characteristics of a respective one of the objects, the perceive routine being further operative to identify subsequently encountered objects by comparing discerned characteristics of the subsequently encountered objects with the stored percepts; a plurality of attributes stored in the memory, wherein at least one such attribute defines the vitality of the entity; a plurality of action routines stored in the memory and operative to invoke actions by the computer based entity, at least one of which will affect the vitality of the entity; and an action selection routine stored in the memory and operative to select one of the actions when one of the objects is perceived and to store data associating the perceived object with the subsequent effect of the selected action on the attributes, the actions being selected based on a likely effect on the vitality of the entity, the action selection routine randomly selecting an action when there is insufficient stored data to determine the likely effect of a particular action on the vitality of the entity. 2. The computer based entity of claim 1 , wherein: simulated death occurs when the actions result in a reduction of vitality below a preset level; and the action selection routine chooses such actions with a primary goal of avoiding the simulated death.
| 0.520669 |
2. A method for data enrichment, the method comprising: measuring, by an attribute relevance module that is executed by at least one hardware processor, relevance of an attribute to a data object to be enriched, the data object including the attribute including one of a known and an unknown value, wherein the relevance of the attribute includes a determination of a unique association of the attribute with the data object, and a determination of a discriminative property of the attribute with respect to instances of the data object based on evaluation of an entropy of a predetermined number of past values of the attribute; determining, by an output value confidence module that is executed by the at least one hardware processor, a confidence of a source based on utility of an output value of the source used for enrichment of the data object, the output value representing at least one of the known and unknown values of the attribute; determining, by the at least one hardware processor, assignment of the unknown value to the attribute by using the measured relevance of the attribute and the determined confidence of the source; and determining, by a source utility and adaptation module that is executed by the at least one hardware processor, utility of the source for enrichment of the data object by determining a confidence of input values provided to the source.
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2. A method for data enrichment, the method comprising: measuring, by an attribute relevance module that is executed by at least one hardware processor, relevance of an attribute to a data object to be enriched, the data object including the attribute including one of a known and an unknown value, wherein the relevance of the attribute includes a determination of a unique association of the attribute with the data object, and a determination of a discriminative property of the attribute with respect to instances of the data object based on evaluation of an entropy of a predetermined number of past values of the attribute; determining, by an output value confidence module that is executed by the at least one hardware processor, a confidence of a source based on utility of an output value of the source used for enrichment of the data object, the output value representing at least one of the known and unknown values of the attribute; determining, by the at least one hardware processor, assignment of the unknown value to the attribute by using the measured relevance of the attribute and the determined confidence of the source; and determining, by a source utility and adaptation module that is executed by the at least one hardware processor, utility of the source for enrichment of the data object by determining a confidence of input values provided to the source. 15. The method of claim 2 , further comprising: selecting, by a source selection module that is executed by the at least one hardware processor, the source for enrichment of the data object from a plurality of sources by determining that the selected source targets unknown attributes of the data object with high relevance.
| 0.711503 |
6. The system of claim 1 , wherein a sensor detects from at least one tag a pose comprising location and orientation of the at least one tag relative to the sensor.
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6. The system of claim 1 , wherein a sensor detects from at least one tag a pose comprising location and orientation of the at least one tag relative to the sensor. 7. The system of claim 6 , wherein the pose comprises a six-degree-of-freedom (DOF) pose.
| 0.928571 |
1. A server for creating a Document Object Model of an XML document of predetermined type, comprising: a memory; and a processor configured to execute a distiller, said distiller comprising: a first process for receiving and opening a compressed input file containing said XML document; a second process for opening and parsing the contents of a relationships file to create a map of name-value pairs and detecting a value for identifying said predetermined type from among a plurality of types of XML documents, wherein said second process includes a Data XML Map class for detecting (i) a name-value pair with a value for identifying a Word™ 2007 XML file, (ii) a name-value pair with a value for identifying an Excel™ 2007 XML file and (iii) a name-value pair with a value for identifying a PowerPoint™ 2007 XML document; and a further process for parsing data in said XML document according to said predetermined type, and building said Document Object Model for storage in said memory.
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1. A server for creating a Document Object Model of an XML document of predetermined type, comprising: a memory; and a processor configured to execute a distiller, said distiller comprising: a first process for receiving and opening a compressed input file containing said XML document; a second process for opening and parsing the contents of a relationships file to create a map of name-value pairs and detecting a value for identifying said predetermined type from among a plurality of types of XML documents, wherein said second process includes a Data XML Map class for detecting (i) a name-value pair with a value for identifying a Word™ 2007 XML file, (ii) a name-value pair with a value for identifying an Excel™ 2007 XML file and (iii) a name-value pair with a value for identifying a PowerPoint™ 2007 XML document; and a further process for parsing data in said XML document according to said predetermined type, and building said Document Object Model for storage in said memory. 3. The server of claim 1 , wherein said further process includes a Data XML class.
| 0.742894 |
10. A method of administering a social choice survey to members of an online community associated with a computer network, the method comprising: generating a first user interface on a display associated with a survey administrator; prompting the survey administrator with the first user interface to define the social choice survey; receiving the social choice survey defined by the survey administrator with the first user interface at a social choice administrator server; prompting the survey administrator with the first user interface to define a group of participants from the members of the online community on the social media website to participate in the social choice survey; receiving the group of participants defined by the survey administrator with the first user interface at the social choice administrator server; generating a second user interface on a display associated with each of the participants on the social media website, the second user interface providing an interactive portion to receive a participant's response to the social choice survey; receiving and registering each of the participant's responses to the social choice survey entered through second user interface at the social choice administrator server; prompting the survey administrator to view and to select a progress of the social choice survey; in response to the selection of the progress of the social choice survey, generating a display of the progress of the social choice survey on the social media website that includes at least one of a list of participants who have participated in the social choice survey and a list of participants who have not participated in the social choice survey; amalgamating the participants' responses to the social choice survey to thereby determine a result of the social choice survey using the social choice administrator server; and generating a display of the result of the social choice survey on a computer display of the survey administrator.
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10. A method of administering a social choice survey to members of an online community associated with a computer network, the method comprising: generating a first user interface on a display associated with a survey administrator; prompting the survey administrator with the first user interface to define the social choice survey; receiving the social choice survey defined by the survey administrator with the first user interface at a social choice administrator server; prompting the survey administrator with the first user interface to define a group of participants from the members of the online community on the social media website to participate in the social choice survey; receiving the group of participants defined by the survey administrator with the first user interface at the social choice administrator server; generating a second user interface on a display associated with each of the participants on the social media website, the second user interface providing an interactive portion to receive a participant's response to the social choice survey; receiving and registering each of the participant's responses to the social choice survey entered through second user interface at the social choice administrator server; prompting the survey administrator to view and to select a progress of the social choice survey; in response to the selection of the progress of the social choice survey, generating a display of the progress of the social choice survey on the social media website that includes at least one of a list of participants who have participated in the social choice survey and a list of participants who have not participated in the social choice survey; amalgamating the participants' responses to the social choice survey to thereby determine a result of the social choice survey using the social choice administrator server; and generating a display of the result of the social choice survey on a computer display of the survey administrator. 17. The method of claim 10 , further comprising prompting the survey administrator with the first user interface to define a choice set in conjunction with the social choice survey.
| 0.59549 |
1. In a computer-implemented auditory training exercise for improving a person's acoustic processing abilities, wherein the auditory training exercise adaptively modifies a stimulus level of synthesized phonemes in an iterative manner based on the person's responses to those synthesized phonemes, wherein the stimulus level is characterized by one or more of the degree by which selected portions of the synthesized phonemes are made relatively more or less loud and the degree by which selected segments of the synthesized phonemes are temporally stretched, a method of progressively orienting the person to recognize a synthesized phoneme that consists essentially only of a formant-filtered representation of the phoneme, the method comprising: providing a first, relatively simplified representation of a phoneme, the first representation consisting of a formant-synthesized-filtered representation of the phoneme; providing a second relatively more spectrally complete representation of the phoneme thru synthesis using a naturalistic time-varying filter; blending different proportions of the first and second representations of the phoneme into different blended representations of the phoneme ranging from a most naturally-sounding representation of the phoneme to a least naturally-sounding representation of the phoneme; initially aurally presenting the most naturally-sounding representation of the phoneme to the person; and aurally presenting progressively less-naturally sounding representations of the phoneme to the person; wherein the auditory training exercise is implemented after the person completes the orientation.
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1. In a computer-implemented auditory training exercise for improving a person's acoustic processing abilities, wherein the auditory training exercise adaptively modifies a stimulus level of synthesized phonemes in an iterative manner based on the person's responses to those synthesized phonemes, wherein the stimulus level is characterized by one or more of the degree by which selected portions of the synthesized phonemes are made relatively more or less loud and the degree by which selected segments of the synthesized phonemes are temporally stretched, a method of progressively orienting the person to recognize a synthesized phoneme that consists essentially only of a formant-filtered representation of the phoneme, the method comprising: providing a first, relatively simplified representation of a phoneme, the first representation consisting of a formant-synthesized-filtered representation of the phoneme; providing a second relatively more spectrally complete representation of the phoneme thru synthesis using a naturalistic time-varying filter; blending different proportions of the first and second representations of the phoneme into different blended representations of the phoneme ranging from a most naturally-sounding representation of the phoneme to a least naturally-sounding representation of the phoneme; initially aurally presenting the most naturally-sounding representation of the phoneme to the person; and aurally presenting progressively less-naturally sounding representations of the phoneme to the person; wherein the auditory training exercise is implemented after the person completes the orientation. 10. The method as recited in claim 1 , wherein the stimulus level is characterized by the relative loudness of consonant and vowel portions of the synthesized phonemes.
| 0.624351 |
29. The method of claim 25 , wherein the human proofreaders are monitored for quality of proofreading.
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29. The method of claim 25 , wherein the human proofreaders are monitored for quality of proofreading. 30. The method of claim 29 , wherein the determined quality of proofreading for a human proofreader determines a type of detected error the proofreader is subsequently transmitted.
| 0.959124 |
1. A system for delivering financial services comprising: a computer comprising: one or more mini-app dialog components, wherein each mini-app dialog component is configured to present information and choices to a customer through a remote device, receive a request for a financial service function from the customer through the remote device, collect information regarding the financial service function from the customer through the remote device; a session component configured to receive a start session request from the remote device that identifies a type of the remote device and manage resources necessary to perform the requested financial service function; a transaction executor component configured to be instantiated by one of the one or more mini-app dialog components and configured to carry out the financial service function that was requested by the customer and generate transaction information; and a presentation manager component configured to select a template configured for the type of the requesting remote device, map objects associated with the transaction information from the transaction executor into a screen display presentation format using the template configured for the type of the requesting remote device, and encode the screen display presentation format for the type of the remote device.
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1. A system for delivering financial services comprising: a computer comprising: one or more mini-app dialog components, wherein each mini-app dialog component is configured to present information and choices to a customer through a remote device, receive a request for a financial service function from the customer through the remote device, collect information regarding the financial service function from the customer through the remote device; a session component configured to receive a start session request from the remote device that identifies a type of the remote device and manage resources necessary to perform the requested financial service function; a transaction executor component configured to be instantiated by one of the one or more mini-app dialog components and configured to carry out the financial service function that was requested by the customer and generate transaction information; and a presentation manager component configured to select a template configured for the type of the requesting remote device, map objects associated with the transaction information from the transaction executor into a screen display presentation format using the template configured for the type of the requesting remote device, and encode the screen display presentation format for the type of the remote device. 9. The system of claim 1 , further comprising: a navigation shell component configured to inform the customer of available mini-app dialogue components that can be selected by the customer.
| 0.59878 |
13. A method for optimizing the description of contents in a layout document, the method comprising: parsing the content of an original layout document having a document size to obtain text graphic unit data; identifying text properties of each character of the text graphic unit data, and classifying characters of the text graphic unit data according to the text properties, to save characters with the same text properties to the same text node along with the same text properties; for characters saved in each text node, saving characters on the same line or column, coordinates of an initial character on the same line or column, average character spacing of the same line or column to a text content node to obtain optimized contents in the layout document, wherein the text content node is a text content node under the text node and corresponding to the same line or column; and saving the optimized contents in the layout document on a computer readable medium with a reduced document size compared to the original layout document.
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13. A method for optimizing the description of contents in a layout document, the method comprising: parsing the content of an original layout document having a document size to obtain text graphic unit data; identifying text properties of each character of the text graphic unit data, and classifying characters of the text graphic unit data according to the text properties, to save characters with the same text properties to the same text node along with the same text properties; for characters saved in each text node, saving characters on the same line or column, coordinates of an initial character on the same line or column, average character spacing of the same line or column to a text content node to obtain optimized contents in the layout document, wherein the text content node is a text content node under the text node and corresponding to the same line or column; and saving the optimized contents in the layout document on a computer readable medium with a reduced document size compared to the original layout document. 18. The method of claim 13 , wherein when displaying optimized contents in the layout document, determining a display location as well as text properties to be displayed for each character of the contents in the layout document, based on the text properties of the text node, and average character spacing and coordinates of an initial character of a line or column in each text content node under the text node.
| 0.650287 |
1. A method comprising: storing in a database a first annotation and a second annotation, the first annotation relating to a first content unit and comprising a first semantic label and first content, the first semantic label comprising a term that does not appear in the first content and indicating a semantic classification of the first content, the second annotation relating to a second content unit and comprising a second semantic label and second content, the second semantic label comprising a term that does not appear in the second content and indicating a semantic classification of the second content, the semantic classification of the second content being different from the semantic classification of the first content, wherein the semantic classification of the first content indicates a meaning of the first content in context of the first content unit, wherein the first content does not explicitly appear in the first content unit, the term that indicates the semantic classification of the first content indicating a meaning of the first content in context of the first content unit from which the first content was determined, wherein the second content is a text excerpt of text of the second content unit, wherein the semantic classification of the second content indicates that the second content is an organizational and/or grammatical element of the text of the second content unit, wherein the storing comprises storing the first semantic label for the first annotation and the second semantic label for the second annotation in a first table of the database, and storing the first content of the first annotation and the second content of the second annotation in at least one second table of the database different from the first table.
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1. A method comprising: storing in a database a first annotation and a second annotation, the first annotation relating to a first content unit and comprising a first semantic label and first content, the first semantic label comprising a term that does not appear in the first content and indicating a semantic classification of the first content, the second annotation relating to a second content unit and comprising a second semantic label and second content, the second semantic label comprising a term that does not appear in the second content and indicating a semantic classification of the second content, the semantic classification of the second content being different from the semantic classification of the first content, wherein the semantic classification of the first content indicates a meaning of the first content in context of the first content unit, wherein the first content does not explicitly appear in the first content unit, the term that indicates the semantic classification of the first content indicating a meaning of the first content in context of the first content unit from which the first content was determined, wherein the second content is a text excerpt of text of the second content unit, wherein the semantic classification of the second content indicates that the second content is an organizational and/or grammatical element of the text of the second content unit, wherein the storing comprises storing the first semantic label for the first annotation and the second semantic label for the second annotation in a first table of the database, and storing the first content of the first annotation and the second content of the second annotation in at least one second table of the database different from the first table. 3. The method of claim 1 , wherein the storing the first semantic label and the second semantic label in the first table of the database comprises storing the first semantic label and the second semantic label in one data structure in at least one computer-readable storage medium, the data structure specifying an organization of the first table.
| 0.784112 |
1. A method for suggesting alternative words for use in social media postings, the method comprising: receiving, by a computing device comprising at least one processor, a draft of a social media post and an indication of a query word in the social media post to analyze for alternative suggestions for the query word; receiving a plurality of characteristics of a target audience for the social media post; identifying, by the at least one processor, a context of the query word using disambiguation; identifying, by the at least one processor, one or more alternative words that have a similar meaning as the query word given the identified context of the query word; determining, by the at least one processor, a predicted engagement score relative to users of a social media system having the plurality of characteristics for each of the one or more alternative words based on past performances of prior social media posts including the one or more alternative words and one or more features in common with the social media post by: for each alternative word in the one or more alternative words: identifying, within an engagement model associated with the users of the social media system having the plurality of characteristics of the target audience, one or more engagement scores associated with the alternative word and each of the one or more features, and averaging the identified one or more engagement scores associated with the alternative word into a predicted engagement score relative to the users for the alternative word; and providing at least one alternative word based on the predicted engagement scores in response to the draft of the social media post.
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1. A method for suggesting alternative words for use in social media postings, the method comprising: receiving, by a computing device comprising at least one processor, a draft of a social media post and an indication of a query word in the social media post to analyze for alternative suggestions for the query word; receiving a plurality of characteristics of a target audience for the social media post; identifying, by the at least one processor, a context of the query word using disambiguation; identifying, by the at least one processor, one or more alternative words that have a similar meaning as the query word given the identified context of the query word; determining, by the at least one processor, a predicted engagement score relative to users of a social media system having the plurality of characteristics for each of the one or more alternative words based on past performances of prior social media posts including the one or more alternative words and one or more features in common with the social media post by: for each alternative word in the one or more alternative words: identifying, within an engagement model associated with the users of the social media system having the plurality of characteristics of the target audience, one or more engagement scores associated with the alternative word and each of the one or more features, and averaging the identified one or more engagement scores associated with the alternative word into a predicted engagement score relative to the users for the alternative word; and providing at least one alternative word based on the predicted engagement scores in response to the draft of the social media post. 5. The method as recited in claim 1 , wherein identifying one or more alternative words that have a similar meaning as the query word given the identified context of the query word comprises identifying synonyms of the query word.
| 0.658537 |
1. A method comprising performing a machine-executed operation involving instructions for identifying a navigational query, wherein the machine-executed operation is at least one of: A) storing said instructions onto a volatile or non-volatile storage medium; and B)executing the instructions; wherein said instructions are instructions which, when executed by one or more processors, cause performance of: determining whether a query is a navigational query by receiving a set of query-URL pair-wise features based at least in part on said query in conjunction with an associated query result set; integrating subsets of said set of query-URL pair-wise features to generate a set of query-based features that are independent of any particular URL; automatically selecting, from said set of query-based features, a subset of most effective features for identifying navigational queries, wherein said selecting is based on a machine learning feature selection method; based on said subset of most effective features, using a machine learning classification method to determine whether said query is a navigational query.
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1. A method comprising performing a machine-executed operation involving instructions for identifying a navigational query, wherein the machine-executed operation is at least one of: A) storing said instructions onto a volatile or non-volatile storage medium; and B)executing the instructions; wherein said instructions are instructions which, when executed by one or more processors, cause performance of: determining whether a query is a navigational query by receiving a set of query-URL pair-wise features based at least in part on said query in conjunction with an associated query result set; integrating subsets of said set of query-URL pair-wise features to generate a set of query-based features that are independent of any particular URL; automatically selecting, from said set of query-based features, a subset of most effective features for identifying navigational queries, wherein said selecting is based on a machine learning feature selection method; based on said subset of most effective features, using a machine learning classification method to determine whether said query is a navigational query. 6. The method of claim 1 , wherein said receiving comprises receiving a set of query-URL pair-wise features comprising click features, URL features, and anchor text features.
| 0.662162 |
2. The method of claim 1 , wherein the one or more features are software-implemented rules that have been determined by a machine learning network.
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2. The method of claim 1 , wherein the one or more features are software-implemented rules that have been determined by a machine learning network. 4. The method of claim 2 , wherein the machine learning network utilizes a Bayesian algorithm.
| 0.975678 |
1. A computer implemented method for processing an output of an optical character recognizer (OCR), the computer implemented method comprising: receiving an OCR-converted character sequence from the OCR; and converting a set of OCR-converted characters of the OCR-converted character sequence to a corresponding corrected set of characters to generate a corrected character sequence based on: a probability of replacing an OCR-converted character of the set of OCR-converted characters with one or more target characters to form one or more characters of the corrected set of characters, and language scores generated by a language model.
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1. A computer implemented method for processing an output of an optical character recognizer (OCR), the computer implemented method comprising: receiving an OCR-converted character sequence from the OCR; and converting a set of OCR-converted characters of the OCR-converted character sequence to a corresponding corrected set of characters to generate a corrected character sequence based on: a probability of replacing an OCR-converted character of the set of OCR-converted characters with one or more target characters to form one or more characters of the corrected set of characters, and language scores generated by a language model. 5. The computer implemented method of claim 1 , wherein the converting comprises implanting a finite state transducer (FST) corresponding to each character of the OCR-converted character sequence.
| 0.724093 |
1. A method for universal rebranding of a Web site, the method comprising: loading into memory of a computer source code for a source Web site and source code for a target Web site; parsing the source code by a processor of the computer to identify for each of the source Web site and the target Web site a style sheet framework, one or more icons representative of branded logos, and a color and font scheme; generating a source design ontology for the source Web site based upon the identified style sheet framework, icons, logos and color and font scheme for the source Web site, and a target design ontology for the target Web site based upon the identified style sheet framework, icons, logos and color and font scheme for the target Web site; comparing the design ontologies to identify common design elements; and, modifying the style sheet framework of the target Web site to incorporate design values for the common design elements drawn from the style sheet of the source Web site.
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1. A method for universal rebranding of a Web site, the method comprising: loading into memory of a computer source code for a source Web site and source code for a target Web site; parsing the source code by a processor of the computer to identify for each of the source Web site and the target Web site a style sheet framework, one or more icons representative of branded logos, and a color and font scheme; generating a source design ontology for the source Web site based upon the identified style sheet framework, icons, logos and color and font scheme for the source Web site, and a target design ontology for the target Web site based upon the identified style sheet framework, icons, logos and color and font scheme for the target Web site; comparing the design ontologies to identify common design elements; and, modifying the style sheet framework of the target Web site to incorporate design values for the common design elements drawn from the style sheet of the source Web site. 4. The method of claim 1 , further comprising displaying a report incorporating design elements of the source design ontology that are not present in the target design ontology.
| 0.811839 |
21. A method for providing access to a resource on a network, comprising the steps of: transmitting an identification of said resource, said identification includes an absolute portion and a query portion, said query portion is used by a remote server to identify a first access rule from a plurality of access rules stored at said remote server; and determining whether access to said resource is authorized based on said identification of said resource without granting authorization to said resource, said determining including accessing said first access rule for said resource and accessing an identity profile for a first user to determine whether at least a portion of said first access rule is satisfied based on information in said identity profile, wherein said first access rule is not part of said identity profile.
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21. A method for providing access to a resource on a network, comprising the steps of: transmitting an identification of said resource, said identification includes an absolute portion and a query portion, said query portion is used by a remote server to identify a first access rule from a plurality of access rules stored at said remote server; and determining whether access to said resource is authorized based on said identification of said resource without granting authorization to said resource, said determining including accessing said first access rule for said resource and accessing an identity profile for a first user to determine whether at least a portion of said first access rule is satisfied based on information in said identity profile, wherein said first access rule is not part of said identity profile. 24. The method according to claim 21 , wherein: a set of resources is associated with a first policy domain; said policy domain includes one or more policies; said one or more policies includes a first policy; said first policy includes said first access rule; and said query portion is used by said remote server to identify said first policy domain using said absolute portion and identify said first policy using said query portion.
| 0.683469 |
1. A method performed by one or more server devices, the method comprising: determining, by one or more processors of the one or more server devices, whether a document in a set of ranked documents requests personal or private information, where documents in the set of ranked documents that are well known are ranked higher than documents that are not well known; analyzing, by one or more processors of the one or more server devices, if the document is determined to request personal or private information, data or attributes associated with the document, where the analyzing the data or attributes associated with the document includes analyzing a ranking of the document relative to rankings of other documents in the set of ranked documents; calculating, by one or more processors of the one or more server devices, a fraud score for the document based on the analysis; comparing, by one or more processors of the one or more server devices, the fraud score to a first threshold and a second different threshold; designating, by one or more processors of the one or more server devices, the document as trustworthy when the fraud score does not pass the first threshold; designating, by one or more processors of the one or more server devices, the document as untrustworthy when the fraud score passes the second different threshold; obtaining, by one or more processors of the one or more server devices, a designation of trustworthiness from a user when the fraud score is between the first threshold and the second different threshold; and associating, in a memory associated with the one or more server devices, an indication of a trustworthiness of the document, determined based on the designation of the document as trustworthy, the designation of the document as untrustworthy, or the designation of trustworthiness obtained from a user, with the fraud score and an identifier for the document.
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1. A method performed by one or more server devices, the method comprising: determining, by one or more processors of the one or more server devices, whether a document in a set of ranked documents requests personal or private information, where documents in the set of ranked documents that are well known are ranked higher than documents that are not well known; analyzing, by one or more processors of the one or more server devices, if the document is determined to request personal or private information, data or attributes associated with the document, where the analyzing the data or attributes associated with the document includes analyzing a ranking of the document relative to rankings of other documents in the set of ranked documents; calculating, by one or more processors of the one or more server devices, a fraud score for the document based on the analysis; comparing, by one or more processors of the one or more server devices, the fraud score to a first threshold and a second different threshold; designating, by one or more processors of the one or more server devices, the document as trustworthy when the fraud score does not pass the first threshold; designating, by one or more processors of the one or more server devices, the document as untrustworthy when the fraud score passes the second different threshold; obtaining, by one or more processors of the one or more server devices, a designation of trustworthiness from a user when the fraud score is between the first threshold and the second different threshold; and associating, in a memory associated with the one or more server devices, an indication of a trustworthiness of the document, determined based on the designation of the document as trustworthy, the designation of the document as untrustworthy, or the designation of trustworthiness obtained from a user, with the fraud score and an identifier for the document. 2. The method of claim 1 , further comprising: alerting a user if the document is designated as untrustworthy.
| 0.755673 |
1. A host computer system for providing results in response to queries, comprising: at least a first engine; a quality control system, including: a challenge keyword transmission module transmitting the challenge keyword to a remote search engine computer system; and a reference result receiving module receiving at least one reference result from the search engine computer system in response to the transmission of the challenge keyword to the remote search engine computer system; a reference score calculation module calculating a reference score, wherein the reference score is calculated based on the reference search result; a challenge keyword submission module entering a challenge keyword into at least a first engine; a challenge result receiving module receiving at least one challenge result from the first engine in response to the challenge keyword; a challenge answer score calculation module calculating a challenge answer score based on the challenge result; a challenge answer-to-reference score calculation module calculating a challenge reference score for the first engine based on a comparison of the challenge answer score for the first engine with the reference score; and an engine relevance score publishing module publishing an engine relevance score based on the challenge reference score for the first engine; and a live system including: a live query receiving module receiving a live query having a user keyword over a network from at least one live remote computer system; a user keyword submission module entering the user keyword into the first engine; a live result receiving module receiving at least one live result from the first engine based on the user keyword; and a live result transmission module transmitting the live result from the first engine over the network to the at least one live remote computer system.
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1. A host computer system for providing results in response to queries, comprising: at least a first engine; a quality control system, including: a challenge keyword transmission module transmitting the challenge keyword to a remote search engine computer system; and a reference result receiving module receiving at least one reference result from the search engine computer system in response to the transmission of the challenge keyword to the remote search engine computer system; a reference score calculation module calculating a reference score, wherein the reference score is calculated based on the reference search result; a challenge keyword submission module entering a challenge keyword into at least a first engine; a challenge result receiving module receiving at least one challenge result from the first engine in response to the challenge keyword; a challenge answer score calculation module calculating a challenge answer score based on the challenge result; a challenge answer-to-reference score calculation module calculating a challenge reference score for the first engine based on a comparison of the challenge answer score for the first engine with the reference score; and an engine relevance score publishing module publishing an engine relevance score based on the challenge reference score for the first engine; and a live system including: a live query receiving module receiving a live query having a user keyword over a network from at least one live remote computer system; a user keyword submission module entering the user keyword into the first engine; a live result receiving module receiving at least one live result from the first engine based on the user keyword; and a live result transmission module transmitting the live result from the first engine over the network to the at least one live remote computer system. 8. The host computer system of claim 1 , wherein: the challenge keyword submission module enters the challenge keyword into at least a second engine; a challenge result receiving module receives at least one challenge result from the second engine in response to the challenge keyword; the challenge answer score calculation module calculates a challenge answer score based on the challenge result received from the second engine; calculating a challenge reference score for the second engine based on a comparison of the challenge answer score received from the second engine with the challenge reference score; the challenge reference score publishing module publishes the challenge reference score for the second engine; the user keyword submission module enters the user keyword into the second engine; the live result receiving module receives at least on live result from the second engine based on the user keyword; and the live result transmission module transmits the live result received from the second engine over the network to the at least one live remote computer system.
| 0.5 |
5. A method of sorting currency bills, each having an associated denomination, using a currency bill evaluating device, the currency evaluating device comprising an input receptacle, a plurality of output receptacles, and a transport mechanism positioned to individually transport bills from the input receptacle to the output receptacles, the method comprising the acts of: (A) transporting a bill from the input receptacle past a bill denominating sensor; (B) determining the denomination of the transported bill; (C) determining whether the denomination of the bill has been assigned to a non-full output receptacle and (i) if so, transporting the bill to the assigned non-full output receptacle; (ii) if not, determining whether there is an open output receptacle and (a) if so, assigning the denomination of the bill to an open output receptacle and transporting the bill to the assigned output receptacle; (b) if not, stopping the operation of the device; (D) repeating steps (A)–(C).
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5. A method of sorting currency bills, each having an associated denomination, using a currency bill evaluating device, the currency evaluating device comprising an input receptacle, a plurality of output receptacles, and a transport mechanism positioned to individually transport bills from the input receptacle to the output receptacles, the method comprising the acts of: (A) transporting a bill from the input receptacle past a bill denominating sensor; (B) determining the denomination of the transported bill; (C) determining whether the denomination of the bill has been assigned to a non-full output receptacle and (i) if so, transporting the bill to the assigned non-full output receptacle; (ii) if not, determining whether there is an open output receptacle and (a) if so, assigning the denomination of the bill to an open output receptacle and transporting the bill to the assigned output receptacle; (b) if not, stopping the operation of the device; (D) repeating steps (A)–(C). 6. The method claim 5 further comprising the act of disabling an output receptacle thereby making the output receptacle unavailable to receive bills during normal operation.
| 0.653771 |
1. A method for performing runtime checking operations in a compiled programming development environment, comprising the steps of: a) compiling a source code file into executable object code comprising machine language instructions, wherein said source code file includes aggregate data items and pointers and also includes expressions which manipulate said aggregate data items and pointers, wherein said step of compiling comprises: creating data structures for aggregate data items and pointers in the source code file; and inserting calls to runtime checking functions for one or more expressions in the source code file which manipulate said aggregate data items and pointers; and b) executing the executable object code, wherein said step of executing comprises: executing one or more of said runtime checking functions to determine if invalid operations occur in said expressions which manipulate said aggregate data items and pointers; and reporting an error to the user if an invalid operation is found to occur after said step of executing one or more of said runtime checking functions.
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1. A method for performing runtime checking operations in a compiled programming development environment, comprising the steps of: a) compiling a source code file into executable object code comprising machine language instructions, wherein said source code file includes aggregate data items and pointers and also includes expressions which manipulate said aggregate data items and pointers, wherein said step of compiling comprises: creating data structures for aggregate data items and pointers in the source code file; and inserting calls to runtime checking functions for one or more expressions in the source code file which manipulate said aggregate data items and pointers; and b) executing the executable object code, wherein said step of executing comprises: executing one or more of said runtime checking functions to determine if invalid operations occur in said expressions which manipulate said aggregate data items and pointers; and reporting an error to the user if an invalid operation is found to occur after said step of executing one or more of said runtime checking functions. 3. The method of claim 1, wherein said step of executing said runtime checking functions comprises accessing said data structures and utilizing information in said data structures.
| 0.732446 |
62. A combination as defined in claim 47, wherein the dictionary build processor produces a dictionary token comprising the dictionary identifiers ordered in a sequence in accordance with the display representation of the identifiers of the respective dictionary segments.
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62. A combination as defined in claim 47, wherein the dictionary build processor produces a dictionary token comprising the dictionary identifiers ordered in a sequence in accordance with the display representation of the identifiers of the respective dictionary segments. 63. A combination as defined in claim 62, further including a sampling processor having: means for determining a desired system-built dictionary size; means for ordering the dictionary identifiers according to the cumulative compression ratio; and means for selecting the dictionary segments so as to include in the system-built dictionary only those dictionary segments that will maintain the system-built dictionary size less than or equal to the desired system-built dictionary size.
| 0.911028 |
1. A method of making a data representation of transaction-tax-related information of a transaction, the transaction being represented by a transaction document having transaction-document lines, the transaction-tax-related information having one or more taxation levels, the method comprising: arranging, by a computer, data items representing the transaction-tax-related information according to a data schema for representing transaction-tax related information for different jurisdictions, including jurisdictions with different kinds and numbers of taxation levels; wherein the data schema provides a taxation-line entity for each of the transaction-document lines of the transaction document, wherein the transaction-document lines correspond to respective sub-transactions of the transaction; the data schema provides a taxation-line-item entity, related to the taxation-line entity, for each taxation level of a corresponding transaction-document line, wherein plural taxation-line-item entities are provided for the corresponding transaction-document line associated with plural taxation levels; and wherein an attribute of each taxation-line-item entity is used to indicate the taxation level represented by the taxation-line-item entity.
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1. A method of making a data representation of transaction-tax-related information of a transaction, the transaction being represented by a transaction document having transaction-document lines, the transaction-tax-related information having one or more taxation levels, the method comprising: arranging, by a computer, data items representing the transaction-tax-related information according to a data schema for representing transaction-tax related information for different jurisdictions, including jurisdictions with different kinds and numbers of taxation levels; wherein the data schema provides a taxation-line entity for each of the transaction-document lines of the transaction document, wherein the transaction-document lines correspond to respective sub-transactions of the transaction; the data schema provides a taxation-line-item entity, related to the taxation-line entity, for each taxation level of a corresponding transaction-document line, wherein plural taxation-line-item entities are provided for the corresponding transaction-document line associated with plural taxation levels; and wherein an attribute of each taxation-line-item entity is used to indicate the taxation level represented by the taxation-line-item entity. 2. The method of claim 1 , wherein the taxation-line-item entities are of the same entity type for all taxation levels and jurisdictions.
| 0.647414 |
5. The computer system of claim 1 , wherein identifying the additional one or more activity trend-related data items further comprises: for each particular data item of the data item cluster: determining a property value associated with the particular data item; based at least on the determined property value, determining the additional one or more activity trend-related data items having a similar property value.
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5. The computer system of claim 1 , wherein identifying the additional one or more activity trend-related data items further comprises: for each particular data item of the data item cluster: determining a property value associated with the particular data item; based at least on the determined property value, determining the additional one or more activity trend-related data items having a similar property value. 7. The computer system of claim 5 , wherein the determined property value includes at least one of a username, a domain, an Internet Protocol address, a computing device identifier, or an event identifier.
| 0.966949 |
4. The method of claim 1 , wherein transmitting the structured data set comprises transmitting at least one clarification request generated by the medical documentation system, the at least one clarification request requesting clarification regarding at least one first medical fact of the one or more medical facts that the medical documentation selected to transmit to the CDI system for review and/or regarding at least a portion of the text documenting the patient encounter from which the at least one first medical fact was extracted by the medical documentation system.
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4. The method of claim 1 , wherein transmitting the structured data set comprises transmitting at least one clarification request generated by the medical documentation system, the at least one clarification request requesting clarification regarding at least one first medical fact of the one or more medical facts that the medical documentation selected to transmit to the CDI system for review and/or regarding at least a portion of the text documenting the patient encounter from which the at least one first medical fact was extracted by the medical documentation system. 8. The method of claim 4 , further comprising: receiving, with the medical documentation system, an instruction from the CDI system to prompt a clinician regarding the at least one clarification request.
| 0.887354 |
1. A computer-implemented method, comprising: determining, in response to reception of an electronic data interchange (EDI) instance document, that a hierarchical EDI reception processing rule sequence, useable to partition encoded hierarchical envelopes of the EDI instance document and to invoke processing of payload data packaged within the encoded hierarchical envelopes, has not been configured; determining, by analysis of content of the EDI instance document, an EDI standard and syntax formatting of the encoded hierarchical envelopes that package the payload data within the EDI instance document; and configuring an EDI reception processing sequence definition that encodes the hierarchical EDI reception processing rule sequence usable to partition the encoded hierarchical envelopes of the EDI instance document and to invoke the processing of the payload data packaged within the encoded hierarchical envelopes.
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1. A computer-implemented method, comprising: determining, in response to reception of an electronic data interchange (EDI) instance document, that a hierarchical EDI reception processing rule sequence, useable to partition encoded hierarchical envelopes of the EDI instance document and to invoke processing of payload data packaged within the encoded hierarchical envelopes, has not been configured; determining, by analysis of content of the EDI instance document, an EDI standard and syntax formatting of the encoded hierarchical envelopes that package the payload data within the EDI instance document; and configuring an EDI reception processing sequence definition that encodes the hierarchical EDI reception processing rule sequence usable to partition the encoded hierarchical envelopes of the EDI instance document and to invoke the processing of the payload data packaged within the encoded hierarchical envelopes. 5. The computer-implemented method of claim 1 , further comprising configuring, using the configured EDI reception processing sequence definition and the encoded hierarchical EDI reception processing rule sequence, a complementary EDI transmission processing sequence definition that encodes a hierarchical EDI transmission processing rule sequence usable to create encoded hierarchical envelopes that package outgoing data as part of an outgoing EDI instance document.
| 0.654591 |
4. The method of claim 1 , wherein each of a plurality of different media content events received in the broadcasted media content stream are uniquely identifiable by an identifier, wherein the predefined closing credits attribute is predefined based on the closing credits of the associated media content event, and wherein, for each of the plurality of different media content events, the media content identifier and the associated predefined closing credits attribute are stored in the memory medium, the method further comprising: comparing the identifier of the media content event that is being recorded with the stored identifiers of the plurality of different media content events; and retrieving the stored predefined closing credits attribute that is associated with the media content event that has the same identifier as the media content event that is being recorded.
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4. The method of claim 1 , wherein each of a plurality of different media content events received in the broadcasted media content stream are uniquely identifiable by an identifier, wherein the predefined closing credits attribute is predefined based on the closing credits of the associated media content event, and wherein, for each of the plurality of different media content events, the media content identifier and the associated predefined closing credits attribute are stored in the memory medium, the method further comprising: comparing the identifier of the media content event that is being recorded with the stored identifiers of the plurality of different media content events; and retrieving the stored predefined closing credits attribute that is associated with the media content event that has the same identifier as the media content event that is being recorded. 5. The method of claim 4 , wherein the stored predefined closing credits attribute is the name of an actor of the media content event that is being recorded.
| 0.959173 |
1. A configuration method for a room, the method comprising: selecting from a client device a consumer application from a plurality of consumer applications accessible from the client device, wherein each of the plurality of consumer applications is pre-configured to include a plurality of room components associated therewith; storing in a memory module data defining a plurality of attributes for the plurality of components associated with the selected consumer application, wherein the data are organized in a frame/slot hierarchy such that attributes of the plurality of attributes are represented as slots of a plurality of frames; and selecting a user-specified attribute from available attributes for at least one of the plurality of the room components wherein selection of invalid attributes is prevented, comprising performing in a processor-based system an attribute-based inference operation that identifies among the plurality of room components within the frame/slot hierarchy the available attributes and the invalid attributes for the at least one of the plurality of room components, wherein the selecting the consumer application imposes constraints that determine, at least in part, the available attributes within the frame/slot hierarchy.
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1. A configuration method for a room, the method comprising: selecting from a client device a consumer application from a plurality of consumer applications accessible from the client device, wherein each of the plurality of consumer applications is pre-configured to include a plurality of room components associated therewith; storing in a memory module data defining a plurality of attributes for the plurality of components associated with the selected consumer application, wherein the data are organized in a frame/slot hierarchy such that attributes of the plurality of attributes are represented as slots of a plurality of frames; and selecting a user-specified attribute from available attributes for at least one of the plurality of the room components wherein selection of invalid attributes is prevented, comprising performing in a processor-based system an attribute-based inference operation that identifies among the plurality of room components within the frame/slot hierarchy the available attributes and the invalid attributes for the at least one of the plurality of room components, wherein the selecting the consumer application imposes constraints that determine, at least in part, the available attributes within the frame/slot hierarchy. 7. The method of claim 1 wherein the constraints are selected from the group consisting of space-planning constraints, construction standards, site-specific realities, style, engineering specifications, relationships between attributes, relationships between components, and product compatibility.
| 0.58283 |
1. A modular lexical system for searching or inputting Chinese-like characters and words, the system having a processor configured to perform operations comprising: receiving input from a user to link or unlink one or more of a plurality of lexical data sources, each lexical data source having an independent data structure; generating one or more data structures for storing data from one or more of the lexical data sources in a plurality of data storage sections; indicating a structure of the stored data in one of the data storage sections; integrating the stored data in each data storage section into hierarchical data structure; creating an aggregate collection of lexemes, said collection of lexemes comprising an aggregate of all search keys and corresponding data found in the lexical data sources, together with cross-references to the lexical data sources in which said keys are found; designating, in response to user input, a subset of lexical data to be used; creating an activated subset of lexical data, said activated subset comprising a subset of the lexeme collection corresponding to the lexical data tables designated for use by the user, wherein each record corresponds to a phonetic or phonological search key for which the retrieved values correspond to character or word objects having an orthographic realization and additional lexical data as provided via the originating lexicon; retrieving individual records of lexical data from said lexical data sources such that all said sources may contribute candidates for input to the input means when a search key has been provided; displaying said candidates for selection by the user during word search and text input; generating a summary table that includes a basic nature and characteristic of individual lexicons stored in the system; and displaying information contained in said summary table.
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1. A modular lexical system for searching or inputting Chinese-like characters and words, the system having a processor configured to perform operations comprising: receiving input from a user to link or unlink one or more of a plurality of lexical data sources, each lexical data source having an independent data structure; generating one or more data structures for storing data from one or more of the lexical data sources in a plurality of data storage sections; indicating a structure of the stored data in one of the data storage sections; integrating the stored data in each data storage section into hierarchical data structure; creating an aggregate collection of lexemes, said collection of lexemes comprising an aggregate of all search keys and corresponding data found in the lexical data sources, together with cross-references to the lexical data sources in which said keys are found; designating, in response to user input, a subset of lexical data to be used; creating an activated subset of lexical data, said activated subset comprising a subset of the lexeme collection corresponding to the lexical data tables designated for use by the user, wherein each record corresponds to a phonetic or phonological search key for which the retrieved values correspond to character or word objects having an orthographic realization and additional lexical data as provided via the originating lexicon; retrieving individual records of lexical data from said lexical data sources such that all said sources may contribute candidates for input to the input means when a search key has been provided; displaying said candidates for selection by the user during word search and text input; generating a summary table that includes a basic nature and characteristic of individual lexicons stored in the system; and displaying information contained in said summary table. 6. The modular lexical system of claim 1 , further comprising: means for encrypting lexical data files when said files are not in use; means for decrypting said lexical data files when said files are in use; and means for locking said lexical data files when decrypted and in use, wherein said data files may not be examined or otherwise explored via applications other than the system, and wherein proprietary lexical data is safeguarded through the encrypting and locking.
| 0.6536 |
12. A non-transitory computer readable storage medium that is configured to transform an input data stream comprising spatio-temporal data that is expressed at least in part in a non-linguistic format into a format that can be expressed at least in part via a linguistic representation in a textual output, the non-transitory computer readable storage medium comprising instructions, that, when executed by a processor, configure the processor to: receive a set of eventualities, the set of eventualities describing at least one of a domain event and a domain state, the at least one of the domain event and the domain state derived from a set of spatio-temporal data and the set of eventualities associated with a particular region and a particular time period; organize the set of eventualities according to a domain model; wherein organizing the set of eventualities comprises determining an importance score for one or more of the set of eventualities using the domain model that comprises a set of importance rules for one or more of the set of eventualities, wherein the importance rules provide an importance score based on an externally specified importance value for an eventuality type, a number of spatial points in the eventuality, and a time period of the eventuality; organizing the set of eventualities based on the importance scores; and at least one of filtering out one or more eventualities, partitioning one or more of the set of eventualities into a portion of the particular region, and ordering the set of eventualities into a particular order; generate a document plan, wherein the document plan is generated based on the organized set of eventualities; instantiate the document plan with one or more messages that describe each eventuality of the organized set of eventualities; and generate a linguistic representation of the one or more messages using the document plan, wherein the linguistic representation of the one or more messages is displayable via a user interface.
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12. A non-transitory computer readable storage medium that is configured to transform an input data stream comprising spatio-temporal data that is expressed at least in part in a non-linguistic format into a format that can be expressed at least in part via a linguistic representation in a textual output, the non-transitory computer readable storage medium comprising instructions, that, when executed by a processor, configure the processor to: receive a set of eventualities, the set of eventualities describing at least one of a domain event and a domain state, the at least one of the domain event and the domain state derived from a set of spatio-temporal data and the set of eventualities associated with a particular region and a particular time period; organize the set of eventualities according to a domain model; wherein organizing the set of eventualities comprises determining an importance score for one or more of the set of eventualities using the domain model that comprises a set of importance rules for one or more of the set of eventualities, wherein the importance rules provide an importance score based on an externally specified importance value for an eventuality type, a number of spatial points in the eventuality, and a time period of the eventuality; organizing the set of eventualities based on the importance scores; and at least one of filtering out one or more eventualities, partitioning one or more of the set of eventualities into a portion of the particular region, and ordering the set of eventualities into a particular order; generate a document plan, wherein the document plan is generated based on the organized set of eventualities; instantiate the document plan with one or more messages that describe each eventuality of the organized set of eventualities; and generate a linguistic representation of the one or more messages using the document plan, wherein the linguistic representation of the one or more messages is displayable via a user interface. 18. The non-transitory computer readable storage medium of claim 12 , wherein organizing the set of eventualities further comprises ordering the set of eventualities based on a start time of one or more of the set of eventualities.
| 0.566612 |
1. A method, implemented in a computer system, of determining a result according to a formula, comprising: electronically receiving a user input in an imprecise syntax, wherein the user input includes (i) an indication of a desired formula having a plurality of mathematical or scientific parameters, and (ii) an indication of one or more respective values of one or more parameters in the plurality of mathematical or scientific parameters, and wherein the imprecise syntax is expressed using natural language and terms; after receiving the user input in the imprecise syntax, determining, at the computer system, one or more possible formulas corresponding to the indication of the desired formula, wherein the one or more possible formulas are expressed in mathematical or scientific symbols; calculating, at the computer system, one or more results according to the one or more possible formulas with the one or more parameters set to the respective one or more values; and generating electronic display information to display at least one of the one or more possible formulas and at least one of the one or more results on a display device.
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1. A method, implemented in a computer system, of determining a result according to a formula, comprising: electronically receiving a user input in an imprecise syntax, wherein the user input includes (i) an indication of a desired formula having a plurality of mathematical or scientific parameters, and (ii) an indication of one or more respective values of one or more parameters in the plurality of mathematical or scientific parameters, and wherein the imprecise syntax is expressed using natural language and terms; after receiving the user input in the imprecise syntax, determining, at the computer system, one or more possible formulas corresponding to the indication of the desired formula, wherein the one or more possible formulas are expressed in mathematical or scientific symbols; calculating, at the computer system, one or more results according to the one or more possible formulas with the one or more parameters set to the respective one or more values; and generating electronic display information to display at least one of the one or more possible formulas and at least one of the one or more results on a display device. 13. A method according to claim 1 , further comprising: generating electronic display information corresponding to a prompt for additional information from a user; and electronically receiving additional information indicative of the desired formula in response to the prompt; wherein determining the one or more possible formulas is based on the additional information indicative of the desired formula.
| 0.588022 |
9. A non-transitory machine readable medium storing one or more sequences of instructions for causing a system analyze software code written in a column based programming language defined by a first grammar, said first grammar of said column based programming language specifying a plurality of constructs, each construct being required by said first grammar to start at a pre-specified column position in lines constituting the software code, wherein execution of said one or more sequences of instructions by one or more processors contained in said system causes said system to perform the actions of: providing, on a display unit, a visual interface designed to receive values identifying constructs of said column based programming language; receiving, from a user using said visual interface, a first set of values corresponding to a first construct of interest; generating, based on said first set of values and said first grammar of said column based programming, a first rule indicating a string of characters that would constitute said first construct of interest, said first rule further indicating a first set of column positions at which lines of said software code are to be examined for the presence of said first construct of interest; and identifying, by applying said first rule to said software code, a first plurality of blocks in said software code, wherein each of said first plurality of blocks including lines matching said string of characters starting at said first set of column positions indicated by said first rule, wherein said first plurality of blocks respectively represent corresponding occurrences of said first construct of interest in said software code, wherein said generating incorporates said first set of column positions in said first rule based on said first grammar of said column based programming language without said user having to specify said first set of column positions.
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9. A non-transitory machine readable medium storing one or more sequences of instructions for causing a system analyze software code written in a column based programming language defined by a first grammar, said first grammar of said column based programming language specifying a plurality of constructs, each construct being required by said first grammar to start at a pre-specified column position in lines constituting the software code, wherein execution of said one or more sequences of instructions by one or more processors contained in said system causes said system to perform the actions of: providing, on a display unit, a visual interface designed to receive values identifying constructs of said column based programming language; receiving, from a user using said visual interface, a first set of values corresponding to a first construct of interest; generating, based on said first set of values and said first grammar of said column based programming, a first rule indicating a string of characters that would constitute said first construct of interest, said first rule further indicating a first set of column positions at which lines of said software code are to be examined for the presence of said first construct of interest; and identifying, by applying said first rule to said software code, a first plurality of blocks in said software code, wherein each of said first plurality of blocks including lines matching said string of characters starting at said first set of column positions indicated by said first rule, wherein said first plurality of blocks respectively represent corresponding occurrences of said first construct of interest in said software code, wherein said generating incorporates said first set of column positions in said first rule based on said first grammar of said column based programming language without said user having to specify said first set of column positions. 10. The machine readable medium of claim 9 , wherein said identifying is performed by a parser, wherein said generating generates said first rule to include a first set of instructions for said parser, said first set of instructions being according to a rule command language having a second grammar different than said first grammar of said column based programming language.
| 0.584681 |
23. A computer-readable medium holding computer executable instructions for debugging a multi-domain block diagram, the instructions comprising: one or more instructions for providing a plurality of debuggable objects (DBOs) associated with entities found in a block diagram model and its solver, the block diagram model including entities from a plurality of different types of modeling domains, the modeling domains being of different types; one or more instructions for providing a unified debugger, the unified debugger integrating the plurality of DBOs that are associated with entities from different types of modeling domains for debugging into a common diagnostic environment, the common diagnostic environment displaying a plurality of views of the block diagram to a user consistent with a modeling domain of an entity being executed; one or more instructions for executing a first entity from a first modeling domain in the block diagram; one or more instructions for displaying a first view consistent with the first modeling domain in the common diagnostic environment, the displaying of the first view based on information referenced by a first DBO associated with the first entity; one or more instructions for executing a second entity from a second modeling domain in the block diagram; one or more instructions for replacing the first view with a second view consistent with the second modeling domain in the common diagnostic environment, the view changing between views of at least two of a time-based block diagram, a statechart, a data flow diagram, a discrete event model and compiled code; and one or more instructions for displaying the second view based on information referenced by a second DBO associated with the executing second entity.
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23. A computer-readable medium holding computer executable instructions for debugging a multi-domain block diagram, the instructions comprising: one or more instructions for providing a plurality of debuggable objects (DBOs) associated with entities found in a block diagram model and its solver, the block diagram model including entities from a plurality of different types of modeling domains, the modeling domains being of different types; one or more instructions for providing a unified debugger, the unified debugger integrating the plurality of DBOs that are associated with entities from different types of modeling domains for debugging into a common diagnostic environment, the common diagnostic environment displaying a plurality of views of the block diagram to a user consistent with a modeling domain of an entity being executed; one or more instructions for executing a first entity from a first modeling domain in the block diagram; one or more instructions for displaying a first view consistent with the first modeling domain in the common diagnostic environment, the displaying of the first view based on information referenced by a first DBO associated with the first entity; one or more instructions for executing a second entity from a second modeling domain in the block diagram; one or more instructions for replacing the first view with a second view consistent with the second modeling domain in the common diagnostic environment, the view changing between views of at least two of a time-based block diagram, a statechart, a data flow diagram, a discrete event model and compiled code; and one or more instructions for displaying the second view based on information referenced by a second DBO associated with the executing second entity. 33. The medium of claim 23 wherein a DBO informs the unified debugger of a currently executing method.
| 0.567237 |
12. The information processing device according to claim 11 , wherein the learning means generates a word dictionary of the words appearing in the document by using the document obtained from the learning content and creates a topic-to-frequently appearing word table of a word with high appearance frequency in the latent topic of the LDA and the appearance frequency of the word by using occurrence probability of occurrence of each word in the word dictionary in each latent topic of the LDA obtained by learning the LDA, and the browsing controlling means extracts the image feature amount of each frame of the image of the target content, performs the dimension reduction, and composes the annotation sequence by using the image feature amount after the dimension reduction, obtains a maximum likelihood state sequence in which the annotation sequence is observed in the annotation model, selects the latent topic represented by the topic label with high output probability in a state corresponding to a noted frame of interest out of states of the maximum likelihood state sequence as a frame topic representing a content of the frame of interest, selects a word with high appearance frequency in the frame topic as the annotation to be added to the frame of interest based on the topic-to-frequently appearing word table, extracts a group of one or more temporally continuous frames to which the same annotation is added as the scene from the target content, and displays the representative images of the scenes so as to be arranged in chronological order.
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12. The information processing device according to claim 11 , wherein the learning means generates a word dictionary of the words appearing in the document by using the document obtained from the learning content and creates a topic-to-frequently appearing word table of a word with high appearance frequency in the latent topic of the LDA and the appearance frequency of the word by using occurrence probability of occurrence of each word in the word dictionary in each latent topic of the LDA obtained by learning the LDA, and the browsing controlling means extracts the image feature amount of each frame of the image of the target content, performs the dimension reduction, and composes the annotation sequence by using the image feature amount after the dimension reduction, obtains a maximum likelihood state sequence in which the annotation sequence is observed in the annotation model, selects the latent topic represented by the topic label with high output probability in a state corresponding to a noted frame of interest out of states of the maximum likelihood state sequence as a frame topic representing a content of the frame of interest, selects a word with high appearance frequency in the frame topic as the annotation to be added to the frame of interest based on the topic-to-frequently appearing word table, extracts a group of one or more temporally continuous frames to which the same annotation is added as the scene from the target content, and displays the representative images of the scenes so as to be arranged in chronological order. 13. The information processing device according to claim 12 , wherein the target content is content of a broadcast program, and the browsing controlling means displays the representative images of the scenes of the broadcast program so as to be arranged in a program listing of the broadcast program on an EPG (electronic program guide) in chronological order.
| 0.729885 |
7. The computer storage medium of claim 6 , wherein comparing the intended Pinyin inputs to the non-selected Pinyin inputs to identify one or more non-selected Pinyin input and intended Pinyin input pairs comprises identifying non-selected Pinyin inputs and intended inputs differing by one of the vowel and consonant pairs in/ing, an/ang, en/eng, l/n, sh/s, ch/c, zh/z, and h/f.
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7. The computer storage medium of claim 6 , wherein comparing the intended Pinyin inputs to the non-selected Pinyin inputs to identify one or more non-selected Pinyin input and intended Pinyin input pairs comprises identifying non-selected Pinyin inputs and intended inputs differing by one of the vowel and consonant pairs in/ing, an/ang, en/eng, l/n, sh/s, ch/c, zh/z, and h/f. 8. The computer storage medium of claim 7 , wherein the non-selected Pinyin input and intended Pinyin input pairs comprise a pair of Pinyin inputs that differ by one of the vowel and consonant pairs.
| 0.93372 |
12. A system of determining ambient condition attributes associated with content that is related to geographically definable locations, the system comprising: a computer system comprising one or more physical processors programmed with computer program instructions that, when executed by the one or more physical processors, program the computer system to: generate a first request formatted specifically for a first social media content provider, the first request specifying a first geographically definable location; transmit the first request to the first social media content provider; obtain first content from the first social media content provider based on the first request; obtain from the first content, a first geotag and first ambient condition information, wherein the first geotag indicates a first location at which the first content was created and/or posted and the first ambient condition information indicates at least a value associated with a first ambient condition that existed when the first content was created and/or posted; generate a second request formatted specifically for a second social media content provider, the second request specifying a second geographically definable location; transmit the second request to the second social media content provider; obtain second content from the second social media content provider based on the second request; obtain from the second content, a second geotag and second ambient condition information, wherein the second geotag indicates a second location at which the second content was created and/or posted and the second ambient condition information indicates at least a value associated with a second ambient condition that existed when the second content was created and/or posted; and communicate the first ambient condition information in association with the first location and the second ambient condition in association with the second location.
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12. A system of determining ambient condition attributes associated with content that is related to geographically definable locations, the system comprising: a computer system comprising one or more physical processors programmed with computer program instructions that, when executed by the one or more physical processors, program the computer system to: generate a first request formatted specifically for a first social media content provider, the first request specifying a first geographically definable location; transmit the first request to the first social media content provider; obtain first content from the first social media content provider based on the first request; obtain from the first content, a first geotag and first ambient condition information, wherein the first geotag indicates a first location at which the first content was created and/or posted and the first ambient condition information indicates at least a value associated with a first ambient condition that existed when the first content was created and/or posted; generate a second request formatted specifically for a second social media content provider, the second request specifying a second geographically definable location; transmit the second request to the second social media content provider; obtain second content from the second social media content provider based on the second request; obtain from the second content, a second geotag and second ambient condition information, wherein the second geotag indicates a second location at which the second content was created and/or posted and the second ambient condition information indicates at least a value associated with a second ambient condition that existed when the second content was created and/or posted; and communicate the first ambient condition information in association with the first location and the second ambient condition in association with the second location. 14. The system of claim 12 , wherein the computer system is further programmed to: store the first ambient condition information and the second ambient condition information in a database, wherein to communicate the first ambient condition information and the second ambient condition information, the computer system is further programmed to: provide the first ambient condition information and the second ambient condition information from the database.
| 0.638562 |
1. A method for generating questions, comprising: providing a user interface or a text editor on a client device for a user to compose a dynamic question template in a first representation of a human readable language; receiving from the client device by a system running on one or more server machines the dynamic question template in the first representation, the dynamic question template having a question, question variables, and question constraints, with or without a correct answer; the system checking the dynamic question template in the first representation for syntax errors according to a query specification language and enabling correction of any syntax error found by the system; the system compiling the dynamic question template from the first representation into a second representation of a first machine readable language supported by a symbolic math engine; the system generating a dynamic question template object of a second machine readable language supported by an object library of the system based at least on the compiled dynamic question template in the first machine readable language, the dynamic question template object including one or more predefined objects from the object library, the generating including: determining whether the question constraints are sufficient to produce a plurality of unique question variants; suggesting at least one change or enhancement to the question; or a combination thereof; the system running one or more simulations of the question; and the system generating a plurality of unique question variants using the dynamic question template object and output from the one or more simulations without further input from the user to thereby improve computer based question generation technologies, wherein each of the plurality of unique question variants comprises a unique variation of the question text incorporating a unique combination of values for the question variables as constrained by the question constraints.
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1. A method for generating questions, comprising: providing a user interface or a text editor on a client device for a user to compose a dynamic question template in a first representation of a human readable language; receiving from the client device by a system running on one or more server machines the dynamic question template in the first representation, the dynamic question template having a question, question variables, and question constraints, with or without a correct answer; the system checking the dynamic question template in the first representation for syntax errors according to a query specification language and enabling correction of any syntax error found by the system; the system compiling the dynamic question template from the first representation into a second representation of a first machine readable language supported by a symbolic math engine; the system generating a dynamic question template object of a second machine readable language supported by an object library of the system based at least on the compiled dynamic question template in the first machine readable language, the dynamic question template object including one or more predefined objects from the object library, the generating including: determining whether the question constraints are sufficient to produce a plurality of unique question variants; suggesting at least one change or enhancement to the question; or a combination thereof; the system running one or more simulations of the question; and the system generating a plurality of unique question variants using the dynamic question template object and output from the one or more simulations without further input from the user to thereby improve computer based question generation technologies, wherein each of the plurality of unique question variants comprises a unique variation of the question text incorporating a unique combination of values for the question variables as constrained by the question constraints. 2. The method according to claim 1 , wherein the first representation is a question specification language and wherein the second representation is used by the symbolic math engine.
| 0.606542 |
8. A non-transitory computer storage medium encoded with instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: determining a first search results score associated with first search results obtained for a search query, wherein the first search results score is based on (i) a respective rank of each first search result, and (ii) a respective first popularity score associated with each first search result; revising the search query using a query revision rule to determine a revised search query; determining a second search results score associated with second search results obtained for the revised search query, wherein the second search results score is based on (i) a respective rank of each second search result, and (ii) a respective second popularity score associated with each second search result; comparing the first search results score with the second search results score; based on the comparison of the first search results score with the second search results score, storing the query revision rule in a collection of rules that are used to revise future search queries; and using one or more rules in the collection of rules, which includes the query revision rule, to revise a new search query.
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8. A non-transitory computer storage medium encoded with instructions that when executed by one or more computers cause the one or more computers to perform operations comprising: determining a first search results score associated with first search results obtained for a search query, wherein the first search results score is based on (i) a respective rank of each first search result, and (ii) a respective first popularity score associated with each first search result; revising the search query using a query revision rule to determine a revised search query; determining a second search results score associated with second search results obtained for the revised search query, wherein the second search results score is based on (i) a respective rank of each second search result, and (ii) a respective second popularity score associated with each second search result; comparing the first search results score with the second search results score; based on the comparison of the first search results score with the second search results score, storing the query revision rule in a collection of rules that are used to revise future search queries; and using one or more rules in the collection of rules, which includes the query revision rule, to revise a new search query. 14. The non-transitory computer storage medium of claim 8 , wherein determining a second search results score associated with the second search results comprises: determining position scores for the one or more second search results, wherein a position score is determined using a search result popularity score and a rank for the search result; and combining the position scores for the one or more second search results.
| 0.517968 |
1. A computer-implemented method of constructing a user knowledge profile, the method including: automatically assigning a confidence level to content within an electronic document associated with a first user, the content being potentially indicative of a user knowledge base of the first user; and storing the content in either a first or a second portion of a user knowledge profile of the first user according to the assigned confidence level, wherein the first and the second portions of the user knowledge profile of the first user have different access restrictions with respect to a second user.
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1. A computer-implemented method of constructing a user knowledge profile, the method including: automatically assigning a confidence level to content within an electronic document associated with a first user, the content being potentially indicative of a user knowledge base of the first user; and storing the content in either a first or a second portion of a user knowledge profile of the first user according to the assigned confidence level, wherein the first and the second portions of the user knowledge profile of the first user have different access restrictions with respect to a second user. 9. The method of claim 1 wherein automatically assigning the confidence level comprises identifying a term within the content.
| 0.607275 |
1. A method comprising: receiving, at one or more computer systems, a document that references one or more user interface components, wherein the document is in a native application format associated with a native application, wherein the native application includes or is in communication with an application server via an integration module of the native application, and wherein at least some of the user interface components correspond to one or more attributes of a data model of a web-based application that is in communication with the application server; receiving, at the one or more computer systems, a value of a property defined by a user on an attribute of the data model, the value comprising an expression; receiving, at the one or more computer systems, data representing the one or more attributes of the data model from the application server responsive to processing the one or more user interface components; and rendering, with one or more processors associated with the one or more computer systems, the document using the expression and the data, wherein the rendering the document comprises rendering the at least some of the user interface components by incorporating the data into the at least some of the user interface components based at least on evaluating the expression, and wherein the document is configured to act as a user interface for the web-based application by extending functionality provided by the web-based application to the native application, and the user interface comprises the at least some of the user interface components.
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1. A method comprising: receiving, at one or more computer systems, a document that references one or more user interface components, wherein the document is in a native application format associated with a native application, wherein the native application includes or is in communication with an application server via an integration module of the native application, and wherein at least some of the user interface components correspond to one or more attributes of a data model of a web-based application that is in communication with the application server; receiving, at the one or more computer systems, a value of a property defined by a user on an attribute of the data model, the value comprising an expression; receiving, at the one or more computer systems, data representing the one or more attributes of the data model from the application server responsive to processing the one or more user interface components; and rendering, with one or more processors associated with the one or more computer systems, the document using the expression and the data, wherein the rendering the document comprises rendering the at least some of the user interface components by incorporating the data into the at least some of the user interface components based at least on evaluating the expression, and wherein the document is configured to act as a user interface for the web-based application by extending functionality provided by the web-based application to the native application, and the user interface comprises the at least some of the user interface components. 2. The method of claim 1 , wherein receiving the expression comprises receiving an expression that conditions a visual style of a model attribute when rendered in the document.
| 0.823 |
1. A device for generating opinion pairs having sentiment orientation based impact relations, comprising: a central processing unit (CPU) receiving a plurality of object-oriented opinions, said CPU extracting impact-related object-oriented opinions from said plurality of object-oriented opinions, said impact-related object-oriented opinions comprising any object-oriented opinions in said plurality of object-oriented opinions and having impact relations with any other object-oriented opinions in said plurality of object-oriented opinions, said CPU analyzing said impact-related object-oriented opinions to determine sentiment orientations between pairs of said impact-related object-oriented opinions, each sentiment orientation indicating whether a first object-oriented opinion has one of a positive impact and a negative impact on a second object-oriented opinion, said CPU calculating confidence scores for said impact relations between said impact-related object-oriented opinions, said CPU establishing an impact relation database and storing, in said database, each pair of said impact-related object-oriented opinions with an associated sentiment orientation and an associated confidence score, said CPU calculating said confidence scores comprising calculating said associated confidence score for each specific pair of said impact-related object-oriented opinions comprising a specific first object-oriented opinion that impacts a specific second object-oriented opinion by determining a number of other pairs of said impact-related object-oriented opinions that comprise other first object-oriented opinions that impact said specific second object-oriented opinion and dividing 1 by said number.
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1. A device for generating opinion pairs having sentiment orientation based impact relations, comprising: a central processing unit (CPU) receiving a plurality of object-oriented opinions, said CPU extracting impact-related object-oriented opinions from said plurality of object-oriented opinions, said impact-related object-oriented opinions comprising any object-oriented opinions in said plurality of object-oriented opinions and having impact relations with any other object-oriented opinions in said plurality of object-oriented opinions, said CPU analyzing said impact-related object-oriented opinions to determine sentiment orientations between pairs of said impact-related object-oriented opinions, each sentiment orientation indicating whether a first object-oriented opinion has one of a positive impact and a negative impact on a second object-oriented opinion, said CPU calculating confidence scores for said impact relations between said impact-related object-oriented opinions, said CPU establishing an impact relation database and storing, in said database, each pair of said impact-related object-oriented opinions with an associated sentiment orientation and an associated confidence score, said CPU calculating said confidence scores comprising calculating said associated confidence score for each specific pair of said impact-related object-oriented opinions comprising a specific first object-oriented opinion that impacts a specific second object-oriented opinion by determining a number of other pairs of said impact-related object-oriented opinions that comprise other first object-oriented opinions that impact said specific second object-oriented opinion and dividing 1 by said number. 4. The device according to claim 1 , in each of said pairs of said impact-related object-oriented opinions, said second object-oriented opinion impacted by said first object-oriented opinion is an implicit opinion.
| 0.558947 |
7. The method of claim 6 , wherein the initial processing results computing step further comprises computing one or more error metric scores for the one or more input data sets.
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7. The method of claim 6 , wherein the initial processing results computing step further comprises computing one or more error metric scores for the one or more input data sets. 8. The method of claim 7 , wherein the initial processing results computing step further comprises ranking and sorting the one or more input data sets based on the one or more error scores.
| 0.861345 |
14. An apparatus comprising: a processor; and a memory coupled to the processor, the memory storing instructions configured to implement a scripting language-based framework, the scripting language-based framework comprising: a set of controls pre-programmed to access backend cloud-based services and generate user interfaces when enabled; an interface component that receives a call that manages a control from the set, wherein the call is provided by an application that references the scripting language-based framework; a user interface (UI) creation component that generates a user interface based the control as managed by the call; and a data access component that accesses backend cloud-based services provided by a distributed data store on a cloud platform based on the control as managed by the call.
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14. An apparatus comprising: a processor; and a memory coupled to the processor, the memory storing instructions configured to implement a scripting language-based framework, the scripting language-based framework comprising: a set of controls pre-programmed to access backend cloud-based services and generate user interfaces when enabled; an interface component that receives a call that manages a control from the set, wherein the call is provided by an application that references the scripting language-based framework; a user interface (UI) creation component that generates a user interface based the control as managed by the call; and a data access component that accesses backend cloud-based services provided by a distributed data store on a cloud platform based on the control as managed by the call. 15. The apparatus of claim 14 , wherein the data access component accesses a third party service integrated into the distributed data store on the cloud platform based on the control as managed by the call.
| 0.642101 |
7. The non-transitory computer-readable medium of claim 6 , wherein the YATL statement is selected from the group consisting of: a foreach-match statement, a match-once statement, a match statement, a foreach-element statement, a debug statement, a native statement, a print statement, a log statement, an express “on” statement, an isolated statement, a continue statement, a die statement, an “on” statement, a statement insertion statement, a layout insertion statement, an if statement, a while statement, a do while statement, a for statement, a delete statement, a transform decl statement, a transform use statement, a replace with statement, a return statement, a try catch statement, an either or statement, a fail statement, an on file statement, and a pointer declare statement.
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7. The non-transitory computer-readable medium of claim 6 , wherein the YATL statement is selected from the group consisting of: a foreach-match statement, a match-once statement, a match statement, a foreach-element statement, a debug statement, a native statement, a print statement, a log statement, an express “on” statement, an isolated statement, a continue statement, a die statement, an “on” statement, a statement insertion statement, a layout insertion statement, an if statement, a while statement, a do while statement, a for statement, a delete statement, a transform decl statement, a transform use statement, a replace with statement, a return statement, a try catch statement, an either or statement, a fail statement, an on file statement, and a pointer declare statement. 17. The non-transitory computer-readable medium of claim 7 , wherein the YATL program includes a replace with statement having “replace-with” followed by an expression.
| 0.772492 |
17. A method, comprising: detecting, by a processing system comprising a processor, a subscriber device from a plurality of subscriber devices that is selecting a media program from a plurality of media programs as a selected media program; identifying, by the processing system, subsets of blogs from a plurality of blogs according to a relevance of each subset of blogs to the selected media program, wherein the identifying comprises: obtaining, by the processing system an initial set of annotated blogs, wherein the initial set of annotated blogs are obtained using a search application programming interface and annotated as being either relevant to the selected media program or not relevant to the selected media program; training, by the processing system, a first classifier based on the initial set of annotated blogs to generate a trained first classifier; applying, by the processing system, the trained first classifier to unannotated blogs from the plurality of blogs to generate a first set of features associating the selected media program with the unannotated blogs; training, by the processing system, a second classifier according to the first set of features generated by the trained first classifier to generate a trained second classifier; and applying, by the processing system, the trained second classifier to the plurality of blogs to identify subsets of blogs relevant to the selected media program as selected blogs; performing, by the processing system, a sentiment analysis on the subset of blogs to determine a trend based on pattern recognition, wherein the trend is related to the selected media program; selecting, by the processing system, media program rentals according to the subset of blogs; subdividing, by the processing system, the subset of blogs into blog subgroups comprising one of blogs favorable to the media program or blogs unfavorable to the media program; and selecting, by the processing system, scheduled media programming according to the subset of blogs.
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17. A method, comprising: detecting, by a processing system comprising a processor, a subscriber device from a plurality of subscriber devices that is selecting a media program from a plurality of media programs as a selected media program; identifying, by the processing system, subsets of blogs from a plurality of blogs according to a relevance of each subset of blogs to the selected media program, wherein the identifying comprises: obtaining, by the processing system an initial set of annotated blogs, wherein the initial set of annotated blogs are obtained using a search application programming interface and annotated as being either relevant to the selected media program or not relevant to the selected media program; training, by the processing system, a first classifier based on the initial set of annotated blogs to generate a trained first classifier; applying, by the processing system, the trained first classifier to unannotated blogs from the plurality of blogs to generate a first set of features associating the selected media program with the unannotated blogs; training, by the processing system, a second classifier according to the first set of features generated by the trained first classifier to generate a trained second classifier; and applying, by the processing system, the trained second classifier to the plurality of blogs to identify subsets of blogs relevant to the selected media program as selected blogs; performing, by the processing system, a sentiment analysis on the subset of blogs to determine a trend based on pattern recognition, wherein the trend is related to the selected media program; selecting, by the processing system, media program rentals according to the subset of blogs; subdividing, by the processing system, the subset of blogs into blog subgroups comprising one of blogs favorable to the media program or blogs unfavorable to the media program; and selecting, by the processing system, scheduled media programming according to the subset of blogs. 19. The method of claim 17 , wherein the sentiment analysis determines the trend according to one of blog trends favorable to each media program, blog trends unfavorable to each media program, blog trends neutral to each media program, blog topical trends, blog popularity trends, or any combination thereof.
| 0.544043 |
1. A method for automatically customizing output synthesis in a text-to-speech system, the method comprising: creating one or more speech samples using an input voice of a human, the speech samples resulting from the human uttering a first text; analyzing said speech samples to extract a separate set of sound parameter values associated with personal speech characteristics of said input voice for each of first and second speech patterns, wherein the first and second speech patterns represent different manners of speaking in a same language, and wherein the sound parameter values relate to at least one quality selected from the group consisting of pitch, breathiness, tone, speed, volume, pitch variation, breathiness variation, tone variation, speed variation and volume variation; determining a separate set of output synthesis parameter values for each of the first and second speech patterns based, at least in part, on the respective separate set of sound parameter values of said input voice; storing each separate set of output synthesis parameter values as a separate speech profile element for the human; analyzing at least a portion of at least one second text, the at least one second text being unrelated to the first text, to select, from among the separate speech profile elements of the first and second speech patterns, a selected separate speech profile element based on how well the selected separate speech profile element corresponds to the at least a portion of the at least one second text; and applying the separate set of output synthesis parameter values of the selected separate speech profile element to synthesize the at least a portion of the at least one second text via the text-to-speech system to speech that includes at least some of the personal speech characteristics of the input voice.
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1. A method for automatically customizing output synthesis in a text-to-speech system, the method comprising: creating one or more speech samples using an input voice of a human, the speech samples resulting from the human uttering a first text; analyzing said speech samples to extract a separate set of sound parameter values associated with personal speech characteristics of said input voice for each of first and second speech patterns, wherein the first and second speech patterns represent different manners of speaking in a same language, and wherein the sound parameter values relate to at least one quality selected from the group consisting of pitch, breathiness, tone, speed, volume, pitch variation, breathiness variation, tone variation, speed variation and volume variation; determining a separate set of output synthesis parameter values for each of the first and second speech patterns based, at least in part, on the respective separate set of sound parameter values of said input voice; storing each separate set of output synthesis parameter values as a separate speech profile element for the human; analyzing at least a portion of at least one second text, the at least one second text being unrelated to the first text, to select, from among the separate speech profile elements of the first and second speech patterns, a selected separate speech profile element based on how well the selected separate speech profile element corresponds to the at least a portion of the at least one second text; and applying the separate set of output synthesis parameter values of the selected separate speech profile element to synthesize the at least a portion of the at least one second text via the text-to-speech system to speech that includes at least some of the personal speech characteristics of the input voice. 2. The method of claim 1 , wherein the creating the one or more speech samples using the input voice includes eliciting a plurality of speech patterns of said input voice, and wherein the analyzing said speech samples includes associating sound parameters with speech patterns of the plurality of speech patterns of said input voice.
| 0.609149 |
31. The system of claim 30 , wherein the instructions, when executed by the data processor, controls the data processing system to retrieve and display a coupon related to the product name.
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31. The system of claim 30 , wherein the instructions, when executed by the data processor, controls the data processing system to retrieve and display a coupon related to the product name. 32. The system of claim 31 , wherein the instructions, when executed by the data processor, controls the data processing system to retrieve and display a dealer related to the product name.
| 0.873333 |
9. The computer software product according to claim 7 , wherein said grouping operator is nestable within another regular expression operator.
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9. The computer software product according to claim 7 , wherein said grouping operator is nestable within another regular expression operator. 10. The computer software product according to claim 9 , wherein said another regular expression operator matches zero or more instances of an operand thereof.
| 0.920866 |
14. An apparatus configured as a portable communication device, comprising: a display; at least one character-input keyboard having at least some keys that correspond to at least two differing characters; a control circuit operably coupled to the display and the at least one character-input keyboard, the control circuit being configured, as keys of the keyboard are asserted, to dynamically determine at least a portion of a corresponding telephone number to present on the display by, at least in part, considering likelihoods of differing explicit and implicit interpretations of key assertions.
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14. An apparatus configured as a portable communication device, comprising: a display; at least one character-input keyboard having at least some keys that correspond to at least two differing characters; a control circuit operably coupled to the display and the at least one character-input keyboard, the control circuit being configured, as keys of the keyboard are asserted, to dynamically determine at least a portion of a corresponding telephone number to present on the display by, at least in part, considering likelihoods of differing explicit and implicit interpretations of key assertions. 18. The apparatus of claim 14 wherein the control circuit is further configured to display the corresponding telephone number on the display.
| 0.695298 |
1. A computer-implemented method comprising: displaying a graphical user interface for a language translation application on a user device, the graphical user interface comprising a first graphical representation identifying a source language, a second graphical representation identifying a target language, and a third graphical representation indicating the user device operating in a listening mode that is arranged adjacent to both the first graphical representation identifying the source language and the second graphical representation identifying the target language; animating, in response to a request to initiate listening for an utterance in the source language, the third graphical representation indicating the listening mode while the language translation application prepares to listen for the source language; highlighting, in response to the language translation application completing preparations to listen for the source language, the third graphical representation indicating the listening mode while also highlighting the first graphical representation identifying the source language to create a visual correspondence between the first graphical representation identifying the source language and the third graphical representation indicating the listening mode indicating that the language translation application is prepared to receive voice input in the source language; receiving an utterance spoken in the source language for translation into the target language while the third graphical representation indicating the listening mode and the first graphical representation identifying the source language are highlighted to create a visual correspondence between the first graphical representation identifying the source language and the third graphical representation indicating the listening mode; replacing, in response to the language translation application preparing an output of a translation of the utterance into the target language, the third graphical representation indicating the listening mode on the graphical user interface with a fourth graphical representation indicating a translation transcription mode on the graphical user interface; and highlighting, in response to the language translation application completing preparations to output the translation of the transcription into the target language, the fourth graphical representation indicating the translation transcription mode while also highlighting the second graphical representation identifying the target language to create a visual correspondence between the second graphical representation identifying the target language and the fourth graphical representation indicating the translation transcription mode indicating that the language translation application is outputting a translation of the utterance in the target language.
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1. A computer-implemented method comprising: displaying a graphical user interface for a language translation application on a user device, the graphical user interface comprising a first graphical representation identifying a source language, a second graphical representation identifying a target language, and a third graphical representation indicating the user device operating in a listening mode that is arranged adjacent to both the first graphical representation identifying the source language and the second graphical representation identifying the target language; animating, in response to a request to initiate listening for an utterance in the source language, the third graphical representation indicating the listening mode while the language translation application prepares to listen for the source language; highlighting, in response to the language translation application completing preparations to listen for the source language, the third graphical representation indicating the listening mode while also highlighting the first graphical representation identifying the source language to create a visual correspondence between the first graphical representation identifying the source language and the third graphical representation indicating the listening mode indicating that the language translation application is prepared to receive voice input in the source language; receiving an utterance spoken in the source language for translation into the target language while the third graphical representation indicating the listening mode and the first graphical representation identifying the source language are highlighted to create a visual correspondence between the first graphical representation identifying the source language and the third graphical representation indicating the listening mode; replacing, in response to the language translation application preparing an output of a translation of the utterance into the target language, the third graphical representation indicating the listening mode on the graphical user interface with a fourth graphical representation indicating a translation transcription mode on the graphical user interface; and highlighting, in response to the language translation application completing preparations to output the translation of the transcription into the target language, the fourth graphical representation indicating the translation transcription mode while also highlighting the second graphical representation identifying the target language to create a visual correspondence between the second graphical representation identifying the target language and the fourth graphical representation indicating the translation transcription mode indicating that the language translation application is outputting a translation of the utterance in the target language. 7. The method of claim 1 , wherein the fourth graphical representation indicating the translation transcription mode comprises a speaker icon.
| 0.557538 |
11. An apparatus comprising: a host site including a networked computer system, the host site being configured to use the networked computer system to: determine whether a webpage permits modification; based on the determination that the webpage permits modification, compare a portion of text contained in the webpage to at least one character string stored in a database, the at least one character string respectively corresponding to at least one data item; based on the comparison finding that the portion of text contained in the webpage matches the character string stored in the database, modify the webpage by inserting the corresponding data item into the webpage, the data item linking the webpage with a different webpage, both the webpage and the different webpage being contained on the same website; send the modified webpage to a web browser of a user; correlate the portion of text contained in the webpage with a common name stored in the database; and communicate the corresponding common name to a producer of the portion of text contained in the webpage.
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11. An apparatus comprising: a host site including a networked computer system, the host site being configured to use the networked computer system to: determine whether a webpage permits modification; based on the determination that the webpage permits modification, compare a portion of text contained in the webpage to at least one character string stored in a database, the at least one character string respectively corresponding to at least one data item; based on the comparison finding that the portion of text contained in the webpage matches the character string stored in the database, modify the webpage by inserting the corresponding data item into the webpage, the data item linking the webpage with a different webpage, both the webpage and the different webpage being contained on the same website; send the modified webpage to a web browser of a user; correlate the portion of text contained in the webpage with a common name stored in the database; and communicate the corresponding common name to a producer of the portion of text contained in the webpage. 14. The apparatus of claim 11 , being configured to parse the text contained in the webpage to identify a prohibition against modification of the text.
| 0.775811 |
21. The computer program product of claim 14 , wherein the method further comprises: engaging in a dialog with the user, including: receiving input from the user, producing a voice markup language script in response to the input, and executing the voice markup language script to generate an output for provision to the user.
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21. The computer program product of claim 14 , wherein the method further comprises: engaging in a dialog with the user, including: receiving input from the user, producing a voice markup language script in response to the input, and executing the voice markup language script to generate an output for provision to the user. 24. The computer program product of claim 21 , wherein executing the voice markup language script comprises: transmitting a prompt to a media service provider module to play the voice markup language script; and placing the prompt in an output queue at the media service provider module.
| 0.786624 |
36. The method of claim 19 , wherein the processing step further includes retrieving and presenting the information data in other foreign spoken languages and its corresponding meanings.
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36. The method of claim 19 , wherein the processing step further includes retrieving and presenting the information data in other foreign spoken languages and its corresponding meanings. 37. The method of claim 36 , wherein the information data is read out in a native or machine-driven audible voice.
| 0.932963 |
17. A method according to claim 14, wherein: said reference code includes an identification of a particular human being.
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17. A method according to claim 14, wherein: said reference code includes an identification of a particular human being. 20. A method according to claim 17, wherein: said identification of a particular human being is entered through said interface with said stylus from a multiple choice menu.
| 0.956469 |
5. A system comprising: at least one server; and a search configuration discovery application executable in the at least one server, the search configuration discovery application comprising: logic that accesses a plurality of network sites via a search configuration discovery application executed in a server; and for each of the network sites: logic that determines whether a first search text box exists in a network page of the network site; logic that automatically performs a search using a search term in the first search text box if the first search text box exists in the network page; logic that automatically determines whether the search term can be identified in association with a search result network page generated from the search, the logic that automatically determines further comprising: logic that determines whether a search term is embodied in a keyword pair in an associated search result network page uniform resource locator (URL); logic that determines whether the search term is embodied in a second search text box associated with the search result network page when the search term is not embodied in a keyword pair in the search result network page URL; logic that stores in the server a search configuration for each of the network sites, the search configuration indicating where the search term can be identified in the network page resulting from a search performed on the network site when the search term can be identified in association with the search result network page, wherein the search configuration comprises characters identifying the keyword pair when the search term is embodied in a keyword pair in the search result network page URL, and wherein the search configuration further comprises a search element identifier corresponding to the second search text box when the search term is embodied in the second search text box associated with the search result network page; and logic that flags a network site for manual determination of a search configuration upon a failure to automatically determine whether a search term can be identified in association with a search result network page generated from the search; and logic that periodically updates each search configuration for each of the network sites.
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5. A system comprising: at least one server; and a search configuration discovery application executable in the at least one server, the search configuration discovery application comprising: logic that accesses a plurality of network sites via a search configuration discovery application executed in a server; and for each of the network sites: logic that determines whether a first search text box exists in a network page of the network site; logic that automatically performs a search using a search term in the first search text box if the first search text box exists in the network page; logic that automatically determines whether the search term can be identified in association with a search result network page generated from the search, the logic that automatically determines further comprising: logic that determines whether a search term is embodied in a keyword pair in an associated search result network page uniform resource locator (URL); logic that determines whether the search term is embodied in a second search text box associated with the search result network page when the search term is not embodied in a keyword pair in the search result network page URL; logic that stores in the server a search configuration for each of the network sites, the search configuration indicating where the search term can be identified in the network page resulting from a search performed on the network site when the search term can be identified in association with the search result network page, wherein the search configuration comprises characters identifying the keyword pair when the search term is embodied in a keyword pair in the search result network page URL, and wherein the search configuration further comprises a search element identifier corresponding to the second search text box when the search term is embodied in the second search text box associated with the search result network page; and logic that flags a network site for manual determination of a search configuration upon a failure to automatically determine whether a search term can be identified in association with a search result network page generated from the search; and logic that periodically updates each search configuration for each of the network sites. 6. The system of claim 5 , wherein the logic that determines whether the search term is embodied in the keyword pair in the associated search result network page URL further comprises logic that identifies a keyword associated with the keyword pair and a delimiter in the URL.
| 0.501094 |
18. The method of claim 17 , wherein the deterministic algorithm includes identifying a corresponding code point with a smallest numerical value.
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18. The method of claim 17 , wherein the deterministic algorithm includes identifying a corresponding code point with a smallest numerical value. 20. The method of claim 18 , wherein the deterministic algorithm includes identifying a corresponding code point with a simplest prime factorization.
| 0.925697 |
1. A computer-implemented method comprising: parsing a business intelligence query using a processor, the business intelligence query structured in an object access protocol format recognized by a plurality of business intelligence systems; identifying from the parsing a plurality of data elements and values of the data elements in the query; identifying a web service output field corresponding to each identified data element from a mapping of web service output fields to business intelligence query data element fields; restructuring the plurality of data elements and values into a plurality of requests, each request, when executed by the business intelligence system, causing the business intelligence system to identify a result and metadata in the business intelligence system corresponding to at least one of the data elements and values; sending the requests to the business intelligence system to be executed; receiving the identified results and metadata from the business intelligence system; identifying additional content in an enterprise services repository corresponding to an object in the received metadata of each request from a mapping of metadata objects to enterprise services repository content; and incorporating the identified web service output fields, the received identified results and metadata from the business intelligence system, and the identified additional content in the enterprise services repository into a data set output associating the web service output fields with respective identified results and metadata from the business intelligence system and respective identified additional content obtained from the enterprise services repository.
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1. A computer-implemented method comprising: parsing a business intelligence query using a processor, the business intelligence query structured in an object access protocol format recognized by a plurality of business intelligence systems; identifying from the parsing a plurality of data elements and values of the data elements in the query; identifying a web service output field corresponding to each identified data element from a mapping of web service output fields to business intelligence query data element fields; restructuring the plurality of data elements and values into a plurality of requests, each request, when executed by the business intelligence system, causing the business intelligence system to identify a result and metadata in the business intelligence system corresponding to at least one of the data elements and values; sending the requests to the business intelligence system to be executed; receiving the identified results and metadata from the business intelligence system; identifying additional content in an enterprise services repository corresponding to an object in the received metadata of each request from a mapping of metadata objects to enterprise services repository content; and incorporating the identified web service output fields, the received identified results and metadata from the business intelligence system, and the identified additional content in the enterprise services repository into a data set output associating the web service output fields with respective identified results and metadata from the business intelligence system and respective identified additional content obtained from the enterprise services repository. 9. The method of claim 1 , wherein the object access protocol format recognized by a plurality of business intelligence systems is an extensible markup language for analytics (XMLA).
| 0.514262 |
11. An image processing system comprising: a controller configured to receive a digital image of a vehicle including one of a plurality of vehicle types, the controller configured to execute instructions to perform a method of classifying the digital image of the vehicle as one of the plurality of vehicle types, the method comprising: a) receiving a digital image of an object to be classified; and b) with a processor, classifying the digital image with a constrained multiple-instance support vector machine (MI-SVM) classifier, the constrained MI-SVM classifier having been automatically trained using a plurality of training images, the training images including a plurality of object types from a plurality of viewpoints, each training image including an image of an object associated with one of the plurality of object types and one of the plurality of object viewpoints, an associated object type label and an associated viewpoint label, the constrained MI-SVM classifier trained by sampling each training image to generate a bag of image regions associated with each training image, discovering a discriminative image region associated with each training image, and generating a collection of discriminative image regions for each of the plurality of object types and each of the plurality of viewpoints, wherein the constrained MI-SVM classifier is trained using an iterative process that initially selects an initial discriminative image region for a first vehicle type at the plurality of viewpoints and iteratively selects subsequent discriminative image regions of the first vehicle type at the plurality of viewpoints where the selection of a subsequent discriminate image region is constrained by one or more characteristics of selected discriminative image regions associated with other viewpoints of the first vehicle type.
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11. An image processing system comprising: a controller configured to receive a digital image of a vehicle including one of a plurality of vehicle types, the controller configured to execute instructions to perform a method of classifying the digital image of the vehicle as one of the plurality of vehicle types, the method comprising: a) receiving a digital image of an object to be classified; and b) with a processor, classifying the digital image with a constrained multiple-instance support vector machine (MI-SVM) classifier, the constrained MI-SVM classifier having been automatically trained using a plurality of training images, the training images including a plurality of object types from a plurality of viewpoints, each training image including an image of an object associated with one of the plurality of object types and one of the plurality of object viewpoints, an associated object type label and an associated viewpoint label, the constrained MI-SVM classifier trained by sampling each training image to generate a bag of image regions associated with each training image, discovering a discriminative image region associated with each training image, and generating a collection of discriminative image regions for each of the plurality of object types and each of the plurality of viewpoints, wherein the constrained MI-SVM classifier is trained using an iterative process that initially selects an initial discriminative image region for a first vehicle type at the plurality of viewpoints and iteratively selects subsequent discriminative image regions of the first vehicle type at the plurality of viewpoints where the selection of a subsequent discriminate image region is constrained by one or more characteristics of selected discriminative image regions associated with other viewpoints of the first vehicle type. 20. The image processing system according to claim 11 , wherein the constrained MI-SVM classifier is configured to generate a plurality of collections of discriminative image region representations, each collection including a plurality of discriminative image regions associated with an attribute of vehicle type, the attribute including one of a vehicle model, a vehicle feature and a vehicle style, and each collection associated with a semantic indicating the attribute associated with each collection.
| 0.554508 |
1. A print mediator comprising: an interface module which serves as an interface for a document to be submitted for printing by an associated printing infrastructure, the interface module communicating with the associated printing infrastructure for acquiring color rendering information for a print queue of the printing infrastructure which is predicted to be used for printing the document, the print queue including at least one printing device, the acquired color rendering information including information acquired from the at least one printing device; a first reviewing application capable of communicating with the interface module for receiving the acquired color rendering information, the first reviewing application generating a visual representation of a document to be submitted for printing based on the color rendering information communicated by the interface module, the first reviewing application detecting problems relating to color rendering by the printing infrastructure and proposing corrections for the problems to a first user, the first reviewing application being configured for displaying the visual representation on a first display and for receiving, as input, the first user's annotations to the document and for receiving the first user's decision on the proposed corrections, the first user's annotations including a textual description of at least one of a problem observed by the user and a required correction; and at least one of the first reviewing application and a second reviewing application capable of communicating with the interface module for enabling a second user to review the annotated document on a second display after it has been submitted to the interface module, including reviewing the first user's annotations.
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1. A print mediator comprising: an interface module which serves as an interface for a document to be submitted for printing by an associated printing infrastructure, the interface module communicating with the associated printing infrastructure for acquiring color rendering information for a print queue of the printing infrastructure which is predicted to be used for printing the document, the print queue including at least one printing device, the acquired color rendering information including information acquired from the at least one printing device; a first reviewing application capable of communicating with the interface module for receiving the acquired color rendering information, the first reviewing application generating a visual representation of a document to be submitted for printing based on the color rendering information communicated by the interface module, the first reviewing application detecting problems relating to color rendering by the printing infrastructure and proposing corrections for the problems to a first user, the first reviewing application being configured for displaying the visual representation on a first display and for receiving, as input, the first user's annotations to the document and for receiving the first user's decision on the proposed corrections, the first user's annotations including a textual description of at least one of a problem observed by the user and a required correction; and at least one of the first reviewing application and a second reviewing application capable of communicating with the interface module for enabling a second user to review the annotated document on a second display after it has been submitted to the interface module, including reviewing the first user's annotations. 7. The print mediator of claim 1 , wherein the interface module is hosted by a first computing device and the first reviewing application is hosted by a second computing device remote from the first computing device.
| 0.586048 |
1. A method comprising: accessing, by a device from an electronic storage, a first response file generated during a first execution of a first recording of a base script on a system that includes at least one processor and at least one memory and a second response file generated during a second execution of a second recording of the base script on the system, the base script defining operations to be executed in testing performance of the system; determining, by the device, first dynamic value data that describes one or more first dynamic values stored in the first response file and second dynamic value data that describes one or more second dynamic values stored in the second response file; analyzing, by the device, the first dynamic value data and the second dynamic value data to identify candidate parameters for correlation within the base script; generating, by the device, a correlated script using the identified candidate parameters and the base script; and storing, by the device, the correlated script.
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1. A method comprising: accessing, by a device from an electronic storage, a first response file generated during a first execution of a first recording of a base script on a system that includes at least one processor and at least one memory and a second response file generated during a second execution of a second recording of the base script on the system, the base script defining operations to be executed in testing performance of the system; determining, by the device, first dynamic value data that describes one or more first dynamic values stored in the first response file and second dynamic value data that describes one or more second dynamic values stored in the second response file; analyzing, by the device, the first dynamic value data and the second dynamic value data to identify candidate parameters for correlation within the base script; generating, by the device, a correlated script using the identified candidate parameters and the base script; and storing, by the device, the correlated script. 7. The method of claim 1 , further comprising: determining first parameters received during the first execution of the base script based on the first response file and second parameters received during the second execution of the base script based on the second response file; analyzing the first parameters and the second parameters to identify other candidate parameters for parameterization within the base script; and generating a parameterized script using the identified other candidate parameters and the base script.
| 0.53738 |
9. A system comprising: a processor; and a computer-readable storage device storing instructions which, when executed by the processor, cause the processor to perform operations comprising: analyzing an audio stream of an utterance of a user to identify topics in the audio stream; identifying tags related to the topics to yield identified tags; identifying content of a document associated with the user; and based on the tags, the topics, and the content of the document, generating a tag recommendation for tagging the audio stream.
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9. A system comprising: a processor; and a computer-readable storage device storing instructions which, when executed by the processor, cause the processor to perform operations comprising: analyzing an audio stream of an utterance of a user to identify topics in the audio stream; identifying tags related to the topics to yield identified tags; identifying content of a document associated with the user; and based on the tags, the topics, and the content of the document, generating a tag recommendation for tagging the audio stream. 11. The system of claim 9 , wherein the tag recommendation is further based on one of a tagging history of a user and a context of the user.
| 0.636005 |
20. A method comprising: accessing a phonetic index of a sequence of phonemes and associated source information wherein: each phoneme in the phonetic index corresponds to a basic unit of speech content of an audio segment comprising speech content from a plurality of sources, such that different speech segments of the speech content correspond to different ones of the plurality of sources; and the source information associates a corresponding one of the plurality of sources with the phonemes in the sequence of phonemes of the phonetic index; determining at least one phonetic search criterion in association with a search query wherein the phonetic search criterion corresponds to phonetic content; identifying a matching portion of the phonetic index that meets the at least one phonetic search criterion; and taking an action in response to identifying the matching portion of the phonetic index.
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20. A method comprising: accessing a phonetic index of a sequence of phonemes and associated source information wherein: each phoneme in the phonetic index corresponds to a basic unit of speech content of an audio segment comprising speech content from a plurality of sources, such that different speech segments of the speech content correspond to different ones of the plurality of sources; and the source information associates a corresponding one of the plurality of sources with the phonemes in the sequence of phonemes of the phonetic index; determining at least one phonetic search criterion in association with a search query wherein the phonetic search criterion corresponds to phonetic content; identifying a matching portion of the phonetic index that meets the at least one phonetic search criterion; and taking an action in response to identifying the matching portion of the phonetic index. 21. The method of claim 20 further comprising determining source criteria identifying at least one source of the plurality of sources in association with the search query, and wherein identifying the matching portion of the phonetic index comprises identifying the matching portion of the phonetic index that meets the at least one phonetic search criterion and the source criteria in light of the source information, such that the matching portion of the phonetic index corresponds to a source identified by the source criteria.
| 0.5 |
9. A challenge search query game system, comprising: a search server computing system configured to execute an application programming interface (API), the API being configured to: receive a challenge query from a game program in response to a selection by a game player of a mini-game selector in a game published by a game publisher, the challenge query including game player profile information; retrieve a challenge in response to the challenge query, the challenge including one or more clues and a solution, the challenge based on at least one of game player profile information and search trend data stored on the search server computing system; send the challenge to the game program for display in the game, causing the game program to store the challenge and present a first clue from the one or more clues to the game player; receive a search query from the game program in response to providing the first clue to the game player, the search query based on one or more keywords input by the game player; cause the search server computing system to determine if the one or more keywords match the solution to the challenge; if the one or more keywords match the solution to the challenge: provide search results, sponsored links, and a solution notification embedded in the search results to the game program; and in response to the game player selecting the solution notification, send a message to the game program to return the game player to the game and provide an in-game reward in the game; if the one or more keywords do not match the solution to the challenge: provide search results and sponsored links; and in response to an action by the game player, present a second clue to the game program, where the second clue is different from the first clue; and in response to the game player selecting a sponsored link, generate and share revenue with the game publisher of the game.
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9. A challenge search query game system, comprising: a search server computing system configured to execute an application programming interface (API), the API being configured to: receive a challenge query from a game program in response to a selection by a game player of a mini-game selector in a game published by a game publisher, the challenge query including game player profile information; retrieve a challenge in response to the challenge query, the challenge including one or more clues and a solution, the challenge based on at least one of game player profile information and search trend data stored on the search server computing system; send the challenge to the game program for display in the game, causing the game program to store the challenge and present a first clue from the one or more clues to the game player; receive a search query from the game program in response to providing the first clue to the game player, the search query based on one or more keywords input by the game player; cause the search server computing system to determine if the one or more keywords match the solution to the challenge; if the one or more keywords match the solution to the challenge: provide search results, sponsored links, and a solution notification embedded in the search results to the game program; and in response to the game player selecting the solution notification, send a message to the game program to return the game player to the game and provide an in-game reward in the game; if the one or more keywords do not match the solution to the challenge: provide search results and sponsored links; and in response to an action by the game player, present a second clue to the game program, where the second clue is different from the first clue; and in response to the game player selecting a sponsored link, generate and share revenue with the game publisher of the game. 12. The system of claim 9 , wherein each sponsored link is provided by an advertiser, where the advertiser specifies at least one search tag and selects a network where the sponsored link is displayed.
| 0.542857 |
1. A computer program product, tangibly embodied in a non-transitory machine-readable medium, the computer program product containing instructions to configure a data processing apparatus to perform operations comprising: receiving a query for one or more data items stored in a database, wherein the query is associated with a query plan; determining whether to use at least one query operator that uses data having a format different from a storage model format of at least one of the data items stored in the database; and converting the format of the data used by the at least one query operator to another format that matches the storage model format of the at least one of the data items stored in the database, wherein the query plan is based on at least a syntax of the query and an order of clauses within the query, and wherein a difference between the format of the data used by the at least one query operator and the storage model format of the at least one of the data items before conversion is one of the following: the format of the data used by the at least one query operator is a row-format and the storage model format of the at least one of the data items is a column-format; or the format of the data used by the at least one query operator is the column-format and the storage model of the at least one of the data items is the row-format.
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1. A computer program product, tangibly embodied in a non-transitory machine-readable medium, the computer program product containing instructions to configure a data processing apparatus to perform operations comprising: receiving a query for one or more data items stored in a database, wherein the query is associated with a query plan; determining whether to use at least one query operator that uses data having a format different from a storage model format of at least one of the data items stored in the database; and converting the format of the data used by the at least one query operator to another format that matches the storage model format of the at least one of the data items stored in the database, wherein the query plan is based on at least a syntax of the query and an order of clauses within the query, and wherein a difference between the format of the data used by the at least one query operator and the storage model format of the at least one of the data items before conversion is one of the following: the format of the data used by the at least one query operator is a row-format and the storage model format of the at least one of the data items is a column-format; or the format of the data used by the at least one query operator is the column-format and the storage model of the at least one of the data items is the row-format. 2. The computer program product of claim 1 , wherein the converting further comprises at least one of the following: converting the format of the data used by a row query operator to the column-format; or converting the format of the data used by a column query operator to the row-format.
| 0.546346 |
2. The computer-implementable method according to claim 1 , further comprising: receiving at least one filtering preference for displaying said tree structure.
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2. The computer-implementable method according to claim 1 , further comprising: receiving at least one filtering preference for displaying said tree structure. 3. The computer-implementable method according to claim 2 , wherein said outputting further comprises: outputting said tree structure wherein quality of service (QoS) elements specified by said at least one filtering preference are expanded during display of said tree structure.
| 0.857579 |
9. The method of claim 8 wherein filtering the structured document comprises: extracting, from the structured document, structural elements having classification identifiers corresponding to the second user classification of the session copy of the second user profile; and writing the extracted structural elements into the session structured document in the session document.
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9. The method of claim 8 wherein filtering the structured document comprises: extracting, from the structured document, structural elements having classification identifiers corresponding to the second user classification of the session copy of the second user profile; and writing the extracted structural elements into the session structured document in the session document. 10. The method of claim 9 further comprising filtering the presentation grammar, in dependence upon the extracted structural elements, into a session grammar in the session document.
| 0.94475 |
2. A method of navigating among GUI elements represented in display data extracted from a computer memory, employing a tactile mouse having at least one tactile display and at least one command input control, said method comprising: a. extracting display data from among the GUI elements displayed on the computer screen; b. identifying the GUI elements among the extracted display data; c. reorganizing the GUI elements into a new logical hierarchical structure of GUI elements, said new hierarchical structure having at least two hierarchical levels and being navigable by predetermined directional inputs to the tactile mouse; d. displaying in tactile form upon a tactile display descriptors relating to a first GUI element in said new hierarchical structure; e. sensing input from the tactile mouse, said input including spatial motion of the tactile mouse, and input of commands via the at least one input control; f. in response to said input from the tactile mouse, selecting a second GUI element from said new hierarchical structure in accordance with a navigational mode selected by a user from among a plurality of predetermined different navigational modes; and g. indicating the selected second GUI element to the user.
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2. A method of navigating among GUI elements represented in display data extracted from a computer memory, employing a tactile mouse having at least one tactile display and at least one command input control, said method comprising: a. extracting display data from among the GUI elements displayed on the computer screen; b. identifying the GUI elements among the extracted display data; c. reorganizing the GUI elements into a new logical hierarchical structure of GUI elements, said new hierarchical structure having at least two hierarchical levels and being navigable by predetermined directional inputs to the tactile mouse; d. displaying in tactile form upon a tactile display descriptors relating to a first GUI element in said new hierarchical structure; e. sensing input from the tactile mouse, said input including spatial motion of the tactile mouse, and input of commands via the at least one input control; f. in response to said input from the tactile mouse, selecting a second GUI element from said new hierarchical structure in accordance with a navigational mode selected by a user from among a plurality of predetermined different navigational modes; and g. indicating the selected second GUI element to the user. 4. The method of claim 2 wherein step (g) of indicating the selected second GUI element to the user comprises displaying in tactile form upon said tactile display descriptors relating to the second GUI element.
| 0.800294 |
15. A non-transitory memory storing instructions that when executed cause a processor to perform operations, the operations comprising: scanning a hybrid markup language document; detecting opening tags in the hybrid markup language document; recording the opening tags in a tag stack; detecting a closing tag that corresponds to one of the opening tags; deleting the one of the opening tags from the tag stack responsive to detecting the closing tag; detecting a first partition boundary in the hybrid markup language document; copying, to an output markup language document, content in the hybrid markup language document that precedes the first partition boundary; splitting the hybrid markup language document at the first partition boundary, wherein the splitting comprises discarding the content in the hybrid markup language document that precedes the first partition boundary and replacing the content copied to the output markup language document with remaining content occurring after the first partition boundary; and generating closing tags corresponding to the opening tags that remain in the remaining content in the output markup language document.
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15. A non-transitory memory storing instructions that when executed cause a processor to perform operations, the operations comprising: scanning a hybrid markup language document; detecting opening tags in the hybrid markup language document; recording the opening tags in a tag stack; detecting a closing tag that corresponds to one of the opening tags; deleting the one of the opening tags from the tag stack responsive to detecting the closing tag; detecting a first partition boundary in the hybrid markup language document; copying, to an output markup language document, content in the hybrid markup language document that precedes the first partition boundary; splitting the hybrid markup language document at the first partition boundary, wherein the splitting comprises discarding the content in the hybrid markup language document that precedes the first partition boundary and replacing the content copied to the output markup language document with remaining content occurring after the first partition boundary; and generating closing tags corresponding to the opening tags that remain in the remaining content in the output markup language document. 19. The non-transitory memory according to claim 15 , wherein the operations further comprise sending the remaining content in the output markup language document to a text-to-speech system.
| 0.531627 |
1. A method performed by a computer, the method comprising; providing, by a Video Game Central Server, a video game comprising player characters wherein each player character comprises a plurality of attributes; receiving, by the Video Game Central Server, a request from a first parent player character to form a child character; identifying, by the Video Game Central Server, first player attributes associated with the first parent player character; assigning, by the Video Game Central Server, at least some of the first parent player attributes to the child character; receiving, by the Video Game Central Server, a request from a second parent player character to form the child character; identifying, by the Video Game Central Server, second player attributes associated with the second parent player character; assigning, by the Video Game Central Server, at least some of the first player attributes and at least some of the second player attributes to the child character, in which at least one of the assigned attributes includes a character skill; creating the child player character with the assigned player attributes; wherein each player character in the game has a set of attributes and each attribute is assigned a score, and determining the score of the attributes for the child character based on the scores of the parent characters, which comprises taking the average of the scores from the first and second parent characters.
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1. A method performed by a computer, the method comprising; providing, by a Video Game Central Server, a video game comprising player characters wherein each player character comprises a plurality of attributes; receiving, by the Video Game Central Server, a request from a first parent player character to form a child character; identifying, by the Video Game Central Server, first player attributes associated with the first parent player character; assigning, by the Video Game Central Server, at least some of the first parent player attributes to the child character; receiving, by the Video Game Central Server, a request from a second parent player character to form the child character; identifying, by the Video Game Central Server, second player attributes associated with the second parent player character; assigning, by the Video Game Central Server, at least some of the first player attributes and at least some of the second player attributes to the child character, in which at least one of the assigned attributes includes a character skill; creating the child player character with the assigned player attributes; wherein each player character in the game has a set of attributes and each attribute is assigned a score, and determining the score of the attributes for the child character based on the scores of the parent characters, which comprises taking the average of the scores from the first and second parent characters. 7. The method of claim 1 wherein the value of each attribute score fluctuates during the game and the value of the parent character attributes that is used to determine the child character attribute scores is the parent attribute score at the time of the parent character's conception.
| 0.5 |
1. A method for rules-based knowledge-driven search filters, the method performed by a data processing system and comprising: receiving metadata for a plurality of searchable objects, by the data processing system, the metadata including at least one of an object type definition and object properties; defining search filter rules based on user properties and data conditions, by the data processing system; performing a search according to a rule-based configuration, by the data processing system, the rule-based configuration including filters for object properties and filter ordering rules, the filter ordering rules specifying the order in which the filters are applied; and displaying search results according to the rule-based configuration, by the data processing system.
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1. A method for rules-based knowledge-driven search filters, the method performed by a data processing system and comprising: receiving metadata for a plurality of searchable objects, by the data processing system, the metadata including at least one of an object type definition and object properties; defining search filter rules based on user properties and data conditions, by the data processing system; performing a search according to a rule-based configuration, by the data processing system, the rule-based configuration including filters for object properties and filter ordering rules, the filter ordering rules specifying the order in which the filters are applied; and displaying search results according to the rule-based configuration, by the data processing system. 7. The method of claim 1 , wherein the data processing system also displays rule-based configuration options to a user and receives a corresponding selection of the rule-based configuration to be used for the search.
| 0.52983 |
2. The method according to claim 1 , wherein the second extended tag comprises a second expression, such that the first expression and the second expression form a combined expression, the second expression including a second operand, a second operator, and a second value, wherein the first expression and the second expression are linked via a logical operator.
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2. The method according to claim 1 , wherein the second extended tag comprises a second expression, such that the first expression and the second expression form a combined expression, the second expression including a second operand, a second operator, and a second value, wherein the first expression and the second expression are linked via a logical operator. 5. The method according to claim 2 , wherein the directive is further indicative of an action to be initiated if the combined expression, is evaluated as true.
| 0.966429 |
19. A system for entering text into a music system comprising: a resident capture facility for recording speech presented by a user; a speech recognition facility for receiving the speech as a recording, for determining that the at least one statistical language model selected provides insufficient recognition output and requires an additional recognition pass of the recording, for conducting the additional recognition pass of the recording, for selecting at least one other statistical language model based at least in part on the additional recognition pass of the recording and client state information of the recording, and for generating results by selecting at least one statistical language model from a set of language models based at least in part on contextual information relating to the recording, wherein the at least one selected statistical language model includes a general language model for artists, a general language model for song titles, and a general language model for music types; and the music system for using the results, wherein the music system provides information relating to a music application to the speech recognition facility and wherein the results are generated based at least in part on the information, and wherein the contextual information includes usage history of the music application and information from at least one of a favorites list and playlists of the user.
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19. A system for entering text into a music system comprising: a resident capture facility for recording speech presented by a user; a speech recognition facility for receiving the speech as a recording, for determining that the at least one statistical language model selected provides insufficient recognition output and requires an additional recognition pass of the recording, for conducting the additional recognition pass of the recording, for selecting at least one other statistical language model based at least in part on the additional recognition pass of the recording and client state information of the recording, and for generating results by selecting at least one statistical language model from a set of language models based at least in part on contextual information relating to the recording, wherein the at least one selected statistical language model includes a general language model for artists, a general language model for song titles, and a general language model for music types; and the music system for using the results, wherein the music system provides information relating to a music application to the speech recognition facility and wherein the results are generated based at least in part on the information, and wherein the contextual information includes usage history of the music application and information from at least one of a favorites list and playlists of the user. 21. The system of claim 19 wherein the speech recognition facility generates the results based at least in part on the information relating to the music application that is received from the music system.
| 0.609056 |
1. An enhanced auto-segmentation method comprising: performing, with a processor, atlas-based auto-segmentation on a plurality of points in a subject image using atlas images to generate first data representative of at least one structure in the subject image, wherein performing the atlas-based auto-segmentation includes registering the subject image with the atlas images to map points of the subject image to points of the atlas images; applying, with the processor, a plurality of points in the subject image to a trained classifier to generate second data representative of the at least one structure in the subject image; combining, with the processor, the first data with the second data to generate third data representative of the at least one structure in the subject image; and determining, based on the third data, structure classifications associated with the subject image.
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1. An enhanced auto-segmentation method comprising: performing, with a processor, atlas-based auto-segmentation on a plurality of points in a subject image using atlas images to generate first data representative of at least one structure in the subject image, wherein performing the atlas-based auto-segmentation includes registering the subject image with the atlas images to map points of the subject image to points of the atlas images; applying, with the processor, a plurality of points in the subject image to a trained classifier to generate second data representative of the at least one structure in the subject image; combining, with the processor, the first data with the second data to generate third data representative of the at least one structure in the subject image; and determining, based on the third data, structure classifications associated with the subject image. 6. The method of claim 1 , wherein the first data comprises a plurality of sets of the first data, and each first data set corresponds to a different one of the atlas images and is representative of the at least one structure in the subject image; wherein applying the plurality points in the subject image to the trained classifier comprises applying a plurality of points in the subject image for each of the first data sets to the trained classifier to generate the second data as a plurality of second data sets, and each second data set is representative of the at least one structure in the subject image; and wherein combining the first data with the second data comprises combining the first data sets with the second data sets to generate the third data.
| 0.60209 |
14. A method according to claim 12 , further comprising: generating a message for the live call based on the transcribed speech values of the speech utterances.
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14. A method according to claim 12 , further comprising: generating a message for the live call based on the transcribed speech values of the speech utterances. 15. A method according to claim 14 , further comprising: storing the message with a recording of the live call.
| 0.969779 |
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