Abstract: A personal electronic device is adapted to construct data tables from user input received over time relating to translations of translatable items from a first language to a second language. Entries in a data table for a user are dynamic and may indicate likelihoods of the user correctly translating translatable items as a function of time. Each translatable item may have a different time-dependent likelihood of a correct translation. Operation of the personal electronic device for a user may be based in part on the acquired, time-dependent likelihoods for that user, so that information may be presented to the user in a more efficient manner.

Abstract: Methods and apparatus for automated processing of natural language text is described. The text can be preprocessed to produce language-space data that includes descriptive data elements for words. Source code that includes linguistic expressions, and that may be written in a programming language that is user-friendly to linguists, can be compiled to produce finite-state transducers and bi-machine transducers that may be applied directly to the language-space data by a language-processing virtual machine. The language-processing virtual machine can select and execute code segments identified in the finite-state and/or bi-machine transducers to disambiguate meanings of words in the text.

Abstract: A personal electronic device is adapted to construct data tables from user input received over time relating to translations of translatable items from a first language to a second language. Entries in a data table for a user are dynamic and may indicate likelihoods of the user correctly translating translatable items as a function of time. Each translatable item may have a different time-dependent likelihood of a correct translation. Operation of the personal electronic device for a user may be based in part on the acquired, time-dependent likelihoods for that user, so that information may be presented to the user in a more efficient manner.

Abstract: A personal electronic device is adapted to construct data tables from user input received over time relating to translations of translatable items from a first language to a second language. Entries in a data table for a user are dynamic and may indicate likelihoods of the user correctly translating translatable items as a function of time. Each translatable item may have a different time-dependent likelihood of a correct translation. Operation of the personal electronic device for a user may be based in part on the acquired, time-dependent likelihoods for that user, so that information may be presented to the user in a more efficient manner.

Abstract: Methods and apparatus for automated processing of natural language text is described. Received text can be preprocessed to produce language-space data that includes descriptive data elements for words. Source code that includes linguistic constraints, and that may be written in a programming language that is user-friendly to linguists, can be compiled to produce finite-state transducers and bi-machine transducers that are used by a language-processing virtual machine to process the language-space data. The language-processing virtual machine selects and executes code segments in accordance with path transitions of the transducers when applied on automatons to disambiguate meanings of words in the received text.

Abstract: Methods and apparatus for automated processing of natural language text is described. The text can be preprocessed to produce language-space data that includes descriptive data elements for words. Source code that includes linguistic expressions, and that may be written in a programming language that is user-friendly to linguists, can be compiled to produce finite-state transducers and bi-machine transducers that may be applied directly to the language-space data by a language-processing virtual machine. The language-processing virtual machine can select and execute code segments identified in the finite-state and/or bi-machine transducers to disambiguate meanings of words in the text.

Abstract: Methods and apparatus for automated processing of natural language text is described. The text can be preprocessed to produce language-space data that includes descriptive data elements for words. Source code that includes linguistic expressions, and that may be written in a programming language that is user-friendly to linguists, can be compiled to produce finite-state transducers and bi-machine transducers that may be applied directly to the language-space data by a language-processing virtual machine. The language-processing virtual machine can select and execute code segments identified in the finite-state and/or bi-machine transducers to disambiguate meanings of words in the text.

Abstract: A computing device is adapted to construct a user-memory data structure for a user based on interactions with the user. The user-memory data structure may comprise a plurality of memory representations for concepts and items important for gaining proficiency in a subject matter. The memory representations are dynamic, and characterize how well each of the concepts and items are retained as a function of time by the user. The computing device uses the user-memory data structure to guide operation of the computing device.

Abstract: A computer-implemented method comprising: receiving a user-generated request comprising functional data; retrieving a list of data items and a set of dependency rules, each data item being assigned an undefined binary validity value; generating a directed graph by organizing the data items in accordance with the retrieved dependency rules; applying a filtration process to solve the directed graph comprising: calculating the validity value; propagating the validity values through the graph; and filtering the directed graph by keeping only nodes having a validity value of one; calculating, for each filtered data item, a price; and generating a list of available data items with their price. The node suppression decreases the number of data items for which a price has to be calculated, thereby saving resources and/or decreasing the time needed to resolve the user request.

Abstract: A personal electronic device is adapted to construct data tables from user input received over time relating to translations of translatable items from a first language to a second language. Entries in a data table for a user are dynamic and may indicate likelihoods of the user correctly translating translatable items as a function of time. Each translatable item may have a different time-dependent likelihood of a correct translation. Operation of the personal electronic device for a user may be based in part on the acquired, time-dependent likelihoods for that user, so that information may be presented to the user in a more efficient manner.

Abstract: A personal electronic device is adapted to construct data tables from user input received over time relating to translations of translatable items from a first language to a second language. Entries in a data table for a user are dynamic and may indicate likelihoods of the user correctly translating translatable items as a function of time. Each translatable item may have a different time-dependent likelihood of a correct translation. Operation of the personal electronic device for a user may be based in part on the acquired, time-dependent likelihoods for that user, so that information may be presented to the user in a more efficient manner.

Abstract: A computing device is adapted to construct a user-memory data structure for a user based on interactions with the user. The user-memory data structure may comprise a plurality of memory representations for concepts and items important for gaining proficiency in a subject matter. The memory representations are dynamic, and characterize how well each of the concepts and items are retained as a function of time by the user. The computing device uses the user-memory data structure to guide operation of the computing device.

Abstract: A personal electronic device is adapted to construct data tables from user input received over time relating to translations of translatable items from a first language to a second language. Entries in a data table for a user are dynamic and may indicate likelihoods of the user correctly translating translatable items as a function of time. Each translatable item may have a different time-dependent likelihood of a correct translation. Operation of the personal electronic device for a user may be based in part on the acquired, time-dependent likelihoods for that user, so that information may be presented to the user in a more efficient manner.

Abstract: Apparatus and methods for social media networking using devices configured to communicate in a data communications network where exchanged information is organized according to discussion topics. Users may exchange content with selected members of discussion-topic groups. Initiating comments and replies may be posted to a discussion topic for review by participants. Sub-discussion topics may be defined for discussion topics. A user may further flexibly define active tag and associated arguments for the active tags as a relational or linking structure for a discussion topic. Conventional email messages may be converted and ported into the discussion-topic system.

Abstract: Apparatus and methods for sharing electronically rendered information between a plurality of devices over a data communications network with limited used of network data storage is described. Content may be shared automatically between members of a share group, without interactive content-sharing operations being executed by users. The embodiments include content tagging, commenting, searching, and syncing of content. Action metadata messages, that are not viewed by a user of a device, may be sent separately from content portions to notify share-group members of content to be shared. Sharing of content can be accomplished via peer-to-peer links as well as intermediary links, which may execute concurrently.

Abstract: Apparatus and methods for social media networking using devices configured to communicate in a data communications network where exchanged information is organized according to discussion topics. Users may exchange content with selected members of discussion-topic groups. Initiating comments and replies may be posted to a discussion topic for review by participants. Sub-discussion topics may be defined for discussion topics. A user may further flexibly define active tag and associated arguments for the active tags as a relational or linking structure for a discussion topic. Conventional email messages may be converted and ported into the discussion-topic system.

Abstract: Apparatus and methods for sharing electronically rendered information between a plurality of devices over a data communications network with limited used of network data storage is described. Content may be shared automatically between members of a share group, without interactive content-sharing operations being executed by users. The embodiments include content tagging, commenting, searching, and syncing of content. Action metadata messages, that are not viewed by a user of a device, may be sent separately from content portions to notify share-group members of content to be shared. Sharing of content can be accomplished via peer-to-peer links as well as intermediary links, which may execute concurrently.

Abstract: Apparatus and methods for social media networking using devices configured to communicate in a data communications network where exchanged information is organized according to discussion topics. Users may exchange content with selected members of discussion-topic groups. Initiating comments and replies may be posted to a discussion topic for review by participants. Sub-discussion topics may be defined for discussion topics. A user may further flexibly define active tag and associated arguments for the active tags as a relational or linking structure for a discussion topic. Conventional email messages may be converted and ported into the discussion-topic system.

Abstract: Apparatus and methods for sharing electronically rendered information between a plurality of devices over a data communications network with limited used of network data storage is described. Content may be shared automatically between members of a share group, without interactive content-sharing operations being executed by users. The embodiments include content tagging, commenting, searching, and syncing of content. Action metadata messages, that are not viewed by a user of a device, may be sent separately from content portions to notify share-group members of content to be shared. Sharing of content can be accomplished via peer-to-peer links as well as intermediary links, which may execute concurrently.

Abstract: The present invention relates to a method for fabricating a thin layer made of a alloy and having photovoltaic properties. The method according to the invention comprises first steps of: a) depositing an adaptation layer (MO) on a substrate (SUB), b) depositing at least one layer (SEED) comprising at least elements I and/or III, on said adaptation layer. The adaptation layer is deposited under near vacuum conditions and step b) comprises a first operation of depositing a first layer of I and/or III elements, under same conditions as the deposition of the adaptation layer, without exposing to air the adaptation layer.