A method, computer system, and a computer program product may perform document reference and reference update. One or more processors may assign marker information for a reference of a reference source. The reference may reference a target portion of a target document. The one or more processors may determine identification information for the target portion. The determined identification information may be based on content in the target portion and context information for the target portion in the target document. The one or more processors may generate a mapping of at least the marker information, the identification information, and a relative location of the target portion within the target document for use in the referencing of the target portion by the reference source.

A method, computer system, and a computer program product may perform document reference and reference update. One or more processors may assign marker information for a reference of a reference source. The reference may reference a target portion of a target document. The one or more processors may determine identification information for the target portion. The determined identification information may be based on content in the target portion and context information for the target portion in the target document. The one or more processors may generate a mapping of at least the marker information, the identification information, and a relative location of the target portion within the target document for use in the referencing of the target portion by the reference source.

An approach includes a method implemented in a computer infrastructure having computer executable code tangibly embodied in a computer readable storage medium having programming instructions. The approach further includes the programming instructions configured to receive a bilingual text which comprises a first set of characters in a Latin-based language and a second set of characters in a non Latin-based language. The approach further includes the programming instructions configured to convert the second set of characters in the non Latin-based language in the bilingual text to a third set of characters in the Latin-based language based on a lookup table. The approach further includes the programming instructions configured to add a prefix character and a postfix character to each converted word in the third set of characters. The approach further includes the programming instructions configured to output an encoded representation of the bilingual text.

In general, embodiments of the present invention provide systems, methods and computer readable media for a configurable test environment within which a relevance service can be invoked to execute one or a combination of test scenarios, each test scenario respectively being configured to exercise one or a combination of features of the relevance service. In embodiments, a test scenario may be configured to use test data that can be simulated and/or be derived from one or a combination of user models and promotion models, and/or be based on aggregated data that has been collected from previous production runs of the relevance service. In embodiments, each test scenario is described as a set of test configuration data. In some embodiments, the test configuration data are represented in a data interchange format that is both human and machine-readable, e.g., JavaScript Object Notation (JSON).

In general, embodiments of the present invention provide systems, methods and computer readable media for a configurable test environment within which a relevance service can be invoked to execute one or a combination of test scenarios, each test scenario respectively being configured to exercise one or a combination of features of the relevance service. In embodiments, a test scenario may be configured to use test data that can be simulated and/or be derived from one or a combination of user models and promotion models, and/or be based on aggregated data that has been collected from previous production runs of the relevance service. In embodiments, each test scenario is described as a set of test configuration data. In some embodiments, the test configuration data are represented in a data interchange format that is both human and machine-readable, e.g., JavaScript Object Notation (JSON).

A compression scheme can be selected for an input data stream based on characteristics of the input data stream. For example, when the input data stream is searched for pattern matches, input stream characteristics used to select a compression scheme can include one or more of: type and size of an input stream, a length of a pattern, a distance from a start of where the pattern is to be inserted to the beginning of where the pattern occurred previously, a gap between two pattern matches (including different or same patterns), standard deviation of a length of a pattern, standard deviation of a distance from a start of where the pattern is to be inserted to the beginning of where the pattern occurred previously, or standard deviation of a gap between two pattern matches. Criteria can be established whereby one or more characteristics are used to select a particular encoding scheme.

A compression scheme can be selected for an input data stream based on characteristics of the input data stream. For example, when the input data stream is searched for pattern matches, input stream characteristics used to select a compression scheme can include one or more of: type and size of an input stream, a length of a pattern, a distance from a start of where the pattern is to be inserted to the beginning of where the pattern occurred previously, a gap between two pattern matches (including different or same patterns), standard deviation of a length of a pattern, standard deviation of a distance from a start of where the pattern is to be inserted to the beginning of where the pattern occurred previously, or standard deviation of a gap between two pattern matches. Criteria can be established whereby one or more characteristics are used to select a particular encoding scheme.

A system and method are shown for automatically generating documents with customer preferred terminology that involves providing basic terminology documents for a system, storing customer specific terminology for customers, receiving requests for a basic terminology document, searching the basic terminology document for a tag placeholder corresponding to a redefined term in the customer specific terminology for a customer, replacing the tag placeholder with the redefined term in order to create a customer specific terminology document for the customer, and providing the customer specific terminology document for display. In one embodiment, a multi-tenant system may provide different customers of the system with their own specific terminology for basic documents.

Technology for taking presentation data (for example, video images from a movie, audio from a podcast), determining that the content includes an untrue assertion (for example, “the United States only has 48 states”) and automatically correcting the presentation so that the untrue assertion is corrected (for example, replacing an incorrect video caption with “the United States has 50 states as of early 2021”).

The invention relates to a computer-implemented method for converting speech to text. The method comprises: receipt (102) of a speech signal (206), which contains general language terms and technical language terms; input (104) of the received speech signal into a speech-to-text conversion system (226), which only supports the conversion of speech signals into a target vocabulary (234) which does not contain the technical language terms; receipt (106) of a text (208), which was generated by the speech-to-text conversion system from the speech signal; generation (108) of a corrected text (210) by automatically replacing terms and expressions from the target vocabulary in the received text with technical language terms according to an assignment table (238), which assigns at least one term or one expression from the target vocabulary, incorrectly recognized by the speech-to-text conversion system, to each of a plurality of technical language terms; and output (110) of the corrected text to the user or to software and/or a hardware component for executing a function.