Abstract: A parallel-translation dictionary creating apparatus that includes a processor configured to create a parallel-translation dictionary; the processor extracts words from each of the plurality of documents; performs an estimation and storage of a semantic classification of the extracted words; based on a result of the estimation of the semantic classification for the word in the document that is a current processing target and the word pair registered in the parallel-translation word list; updates, to the semantic classification of the word for which the semantic classification has been estimated, the semantic classification of a corresponding word that corresponds to the word and to the subject matter of the document that is the current processing target; and creates the parallel-translation dictionary based on the semantic classification of the word obtained by the estimation of the semantic classification of the word and the update of the semantic classification of the corresponding word.

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 parallel-translation dictionary creating apparatus that includes a processor configured to create a parallel-translation dictionary; the processor extracts words from each of the plurality of documents; performs an estimation and storage of a semantic classification of the extracted words; based on a result of the estimation of the semantic classification for the word in the document that is a current processing target and the word pair registered in the parallel-translation word list; updates, to the semantic classification of the word for which the semantic classification has been estimated, the semantic classification of a corresponding word that corresponds to the word and to the subject matter of the document that is the current processing target; and creates the parallel-translation dictionary based on the semantic classification of the word obtained by the estimation of the semantic classification of the word and the update of the semantic classification of the corresponding word.

Abstract: A machine translation apparatus configured to translate an input sentence and output a translated sentence in a target language, the machine translation apparatus includes a rule acquirer configured to acquire a difference between an input example sentence and a replaced example sentence which is obtained by replacing the input example sentence, and acquire a replacement rule based on the difference and each of meaning representations which indicate each relationship of words in the input example sentence and the replaced example sentence; and a translator configured to apply the replacement rule acquired by the rule acquirer to the input sentence and output the translated sentence based on the meaning representations and a meaning representation indicating of relationship of words in the input sentence.

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 computer-readable recording medium stores therein a sequence-map generating program that causes a computer to execute extracting from files that include character strings written therein, a word having q (q?2) characters; extracting from the word extracted at the extracting the word, consecutive characters from a character position s-th (1?s?q?r+1) from a head of the word to a character position determined by a number of characters r (r?q); and generating, for each character position s-th from the head, a consecutive-character sequence map including a flag row that indicates, for each file, whether a file includes the consecutive characters extracted at the extracting the consecutive characters.

Abstract: A machine translation apparatus configured to translate an input sentence and output a translated sentence in a target language, the machine translation apparatus includes a rule acquirer configured to acquire a difference between an input example sentence and a replaced example sentence which is obtained by replacing the input example sentence, and acquire a replacement rule based on the difference and each of meaning representations which indicate each relationship of words in the input example sentence and the replaced example sentence; and a translator configured to apply the replacement rule acquired by the rule acquirer to the input sentence and output the translated sentence based on the meaning representations and a meaning representation indicating of relationship of words in the input sentence.

Abstract: A Japanese proofreading apparatus has a correction history corpus, a proofreading candidate generation unit, a proofreading availability determination unit, and an automatic proofreading unit. The correction history corpus stores negative sentences as post-proofreading sentences and positive example sentences as post-proofreading sentences, in association with each other. The proofreading candidate generation unit acquires the post-proofreading sentences corresponding to the pre-proofreading sentences from the correction history corpus, according to characteristics of a proofreading target sentence. The proofreading availability determination unit selects, from the post-proofreading sentences acquired by the proofreading candidate generation unit, post-proofreading sentences with degrees of similarity between the proofreading target sentence and the post-proofreading sentences equal to or more than a predetermined threshold value, as proofreading candidates.

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 device includes a processor that executes a procedure. The procedure includes: generating plural original text candidates by applying each of plural predetermined different pre-editing rules or rule combinations to an original text expressed in a first language; translating each of the plural original text candidates into respective translated text candidates expressed in a second language, and translating each of the translated text candidates into a respective reverse translated text expressed in the first language; and generating a concept structure expressing a semantic structure of each of the original text candidates and each of the reverse translation texts, and selecting a translated text candidate that corresponds to the original text candidate whose degree of similarity between the concept structure of the original text candidate and the concept structure of the reverse translated text corresponding to the original text candidate is a specific value or greater.

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 retrieval result outputting apparatus evaluates degrees of matching on a character block basis between an input example sentence serving as a retrieval condition and retrieval example sentences retrieved using the input example sentence as the retrieval condition; extracts one of the retrieval example sentences as an extraction example sentence in accordance with the evaluation; selects a portion of the input example sentence as a reevaluation portion with reference to the extraction example. And then reevaluates on degrees of matching a character block basis between the retrieval example sentences and the reevaluation portion; re-extracts one of the retrieval example sentences as a re-extracted example sentence in accordance with the reevaluation; and outputs the extracted and re-extracted example sentences.

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 Japanese proofreading apparatus has a correction history corpus, a proofreading candidate generation unit, a proofreading availability determination unit, and an automatic proofreading unit. The correction history corpus stores negative sentences as post-proofreading sentences and positive example sentences as post-proofreading sentences, in association with each other. The proofreading candidate generation unit acquires the post-proofreading sentences corresponding to the pre-proofreading sentences from the correction history corpus, according to characteristics of a proofreading target sentence. The proofreading availability determination unit selects, from the post-proofreading sentences acquired by the proofreading candidate generation unit, post-proofreading sentences with degrees of similarity between the proofreading target sentence and the post-proofreading sentences equal to or more than a predetermined threshold value, as proofreading candidates.

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 retrieval result outputting apparatus evaluates degrees of matching on a character block basis between an input example sentence serving as a retrieval condition and retrieval example sentences retrieved using the input example sentence as the retrieval condition; extracts one of the retrieval example sentences as an extraction example sentence in accordance with the evaluation; selects a portion of the input example sentence as a reevaluation portion with reference to the extraction example. And then reevaluates on degrees of matching a character block basis between the retrieval example sentences and the reevaluation portion; re-extracts one of the retrieval example sentences as a re-extracted example sentence in accordance with the reevaluation; and outputs the extracted and re-extracted example sentences.

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.