Abstract: A data generation method includes: with regard to a target in which a plurality of sets of reference source data and reference target data are connectable by using edges, extracting information that corresponds to a complete bipartite graph from the connected target; and when there are a plurality of sets of reference source data and a plurality of sets of reference target data that are the extracted information and that constitute the complete bipartite graph, generating a virtual node between the reference source data and the reference target data.

Abstract: An apparatus acquires a first input-table, based on target table information, and acquires a script for generating a first output-table from the first input-table, and a constraint condition between columns included in the first input-table and the first output-table. The apparatus converts the first input-table into a second input-table such that the second input-table obtained by converting a column structure of the first input-table and a second output-table to be obtained by converting a column structure of the target table comply with the constraint condition, and generates assignment information indicating a correspondence relationship between columns to be included in the second output-table and the target table. The apparatus generates the second output-table from the script and the second input-table, and converts the second output-table into the target table, based on the assignment information.

Abstract: A shortest path searching unit 121 identifies a first group by a shortest path search conducted from a start point node in a forward direction within a first distance and identifies a second group by another shortest path search conducted from an end point node in a reverse direction within a second distance. A feature graph generating unit 122 generates, when sum of a distance of a first shortest path between the start point node and a first node included in the first group and a distance of a second shortest path between the end point node and a second node included in the second group is not more than a threshold obtained by adding a specific distance to a distance of a shortest path between the start point node and the end point node, a feature graph including the first shortest path and the second shortest path.

Abstract: An apparatus acquires a first input-table, based on target table information, and acquires a script for generating a first output-table from the first input-table, and a constraint condition between columns included in the first input-table and the first output-table. The apparatus converts the first input-table into a second input-table such that the second input-table obtained by converting a column structure of the first input-table and a second output-table to be obtained by converting a column structure of the target table comply with the constraint condition, and generates assignment information indicating a correspondence relationship between columns to be included in the second output-table and the target table. The apparatus generates the second output-table from the script and the second input-table, and converts the second output-table into the target table, based on the assignment information.

Abstract: A data generation method includes: with regard to a target in which a plurality of sets of reference source data and reference target data are connectable by using edges, extracting information that corresponds to a complete bipartite graph from the connected target; and when there are a plurality of sets of reference source data and a plurality of sets of reference target data that are the extracted information and that constitute the complete bipartite graph, generating a virtual node between the reference source data and the reference target data.

Abstract: An information processing method executed by an information processing apparatus, includes receiving a keyword; extracting one or more experts related to a document including the keyword from document information, the document information including a plurality of documents registered within a period of time including a plurality of periods and information on an expert related to each of the plurality of documents; determining a score in each period based on a ratio of a number of registered documents related to the keyword to a number of all registered documents and a coefficient increased in value as the period becomes newer, with respect to each of the one or more experts; determining an expert value related to the keyword for each of the one or more experts by adding together the score in each period; and ranking each of the one or more experts based on comparison of the expert value.

Abstract: A machine translation device that translates a first language sentence into a second language sentence, the machine translation device includes: a translation unit configured to translate the first language sentence or the second language sentence into a third language sentence; and a second language translated sentence output unit configured to output a second language sentence corresponding to the first language sentence using a search result obtained by searching a database that stores more example sentences of a third language than example sentences of a first language and a second language using the translated third language sentence as a search key.

Abstract: An information processing method executed by an information processing apparatus, includes receiving a keyword; extracting one or more experts related to a document including the keyword from document information, the document information including a plurality of documents registered within a period of time including a plurality of periods and information on an expert related to each of the plurality of documents; determining a score in each period based on a ratio of a number of registered documents related to the keyword to a number of all registered documents and a coefficient increased in value as the period becomes newer, with respect to each of the one or more experts; determining an expert value related to the keyword for each of the one or more experts by adding together the score in each period; and ranking each of the one or more experts based on comparison of the expert value.

Abstract: A typical sentence having a specific typical characteristic in the sentence is divided. A division target typical sentence is divided on the basis of a small clause definition. The sentence is divided where positions suitable for dividing the typical sentence based on the structure are expressed by a user. A small clause string including small clauses that serve as independent sentences is created after the division. The small clause string is compared to the structure patterns, and a structure pattern that is determined to match the small clause string is selected as a result of the typical sentence division.

Abstract: A translation support apparatus according to an embodiment applies a bottom-up syntax analysis rule to original information and translation information to generate subtrees corresponding to the combinations of all the character strings and makes the subtrees of the original and the translation correspond to each other. Then, for each pair of the subtrees of the original and the translation, the translation support apparatus evaluates a correspondence degree according to the presence or absence of the relevance between words based on a bilingual dictionary and the proximity of the number of the constituting words.

Abstract: A machine translation device that translates a first language sentence into a second language sentence, the machine translation device includes: a translation unit configured to translate the first language sentence or the second language sentence into a third language sentence; and a second language translated sentence output unit configured to output a second language sentence corresponding to the first language sentence using a search result obtained by searching a database that stores more example sentences of a third language than example sentences of a first language and a second language using the translated third language sentence as a search key.

Abstract: A device includes a parsing unit that parses an input sentence into a plurality of clauses, an identification unit that identifies, as a target area, based on the clauses resulting from the parsing, any of the clauses corresponding to an area specified, a setting unit that sets, as a target clause, any of the clauses located at a boundary of the target area identified, and sets, as a candidate for modification of the target clause, any of the clauses adjacent to the target clause in the target area. A judgment unit judges whether there exists a relationship of modification between the target clause and the candidate for modification and a determination unit determines, when the judgment unit judges that there is the relationship of modification, a translation area based on the target area, the target clause, and the candidate for modification.

Abstract: In a computer for supporting translation work, an acquisition unit retrieves a pair of original document including a plurality of original sentences and translated document including a plurality of translated sentences from a document storage unit. An estimation unit counts the number of original sentences included in the original document and the number of translated sentences included in the translated document, and estimates a position of a translated sentence corresponding to each original sentence in the translated document based on a ratio of the number of original sentences to the number of translated sentences and a positional order of each original sentence in the original document. An alignment unit aligns each original sentence with the translated sentence located at the estimated position, and outputs information indicating the correspondences between the original and translated sentences.

Abstract: A translation memory system enabling the user to not only narrow down the view range of search result, but also view a surrounding context of a retrieved text. Stored parallel texts include sentence-class and segment-class parallel texts. Parallel texts relevant to a given input text are retrieved and subjected to calculation of match rates with respect to the input text. A downward link is then added to each retrieved sentence-class parallel text, while an upward link is added to each retrieved segment-class parallel text. A search result screen shows a best matching parallel text with an expand button and/or a shrink button. The expand button causes the current parallel text to be replaced with an upper-class parallel text pointed at by a corresponding upward link. The shrink button causes the current parallel text to be replaced with a lower-class parallel text pointed at by a corresponding downward link.

Abstract: A translation support device for supporting a process of translating an original sentence in a language into another language, comprising a partial expression setting unit, a dummy head setting unit, an original sentence replacement unit, a translated sentence obtaining unit, and a translated sentence replacement unit.

Abstract: A device includes a parsing unit that parses an input sentence into a plurality of clauses, an identification unit that identifies, as a target area, based on the clauses resulting from the parsing, any of the clauses corresponding to an area specified, a setting unit that sets, as a target clause, any of the clauses located at a boundary of the target area identified, and sets, as a candidate for modification of the target clause, any of the clauses adjacent to the target clause in the target area. A judgment unit judges whether there exists a relationship of modification between the target clause and the candidate for modification and a determination unit determines, when the judgment unit judges that there is the relationship of modification, a translation area based on the target area, the target clause, and the candidate for modification.

Abstract: In a computer for supporting translation work, an acquisition unit retrieves a pair of original document including a plurality of original sentences and translated document including a plurality of translated sentences from a document storage unit. An estimation unit counts the number of original sentences included in the original document and the number of translated sentences included in the translated document, and estimates a position of a translated sentence corresponding to each original sentence in the translated document based on a ratio of the number of original sentences to the number of translated sentences and a positional order of each original sentence in the original document. An alignment unit aligns each original sentence with the translated sentence located at the estimated position, and outputs information indicating the correspondences between the original and translated sentences.

Abstract: An apparatus includes a mechanism for selecting a replacement source expression associated with respective replacement destination expressions, and the respective replacement destination expressions associated with the replacement source expression; a mechanism for extracting the replacement source expression associated with the replacement destination expression which is the same expression as the selected replacement destination expression, and creating an expression list; a mechanism for determining whether or not an expression group included in the expression list for one field is similar to an expression group included in the expression list; and a mechanism for generating a proofreading complementary dictionary, which associates an expression included in the expression list with a high replacement destination expression included in the expression list.

Abstract: A typical sentence having a specific typical characteristic in the sentence is divided. A division target typical sentence is divided on the basis of a small clause definition. The sentence is divided where positions suitable for dividing the typical sentence based on the structure are expressed by a user. A small clause string including small clauses that serve as independent sentences is created after the division. The small clause string is compared to the structure patterns, and a structure pattern that is determined to match the small clause string is selected as a result of the typical sentence division.

Abstract: A translation memory system enabling the user to not only narrow down the view range of search result, but also view a surrounding context of a retrieved text. Stored parallel texts include sentence-class and segment-class parallel texts. Parallel texts relevant to a given input text are retrieved and subjected to calculation of match rates with respect to the input text. A downward link is then added to each retrieved sentence-class parallel text, while an upward link is added to each retrieved segment-class parallel text. A search result screen shows a best matching parallel text with an expand button and/or a shrink button. The expand button causes the current parallel text to be replaced with an upper-class parallel text pointed at by a corresponding upward link. The shrink button causes the current parallel text to be replaced with a lower-class parallel text pointed at by a corresponding downward link.