Abstract: A processor performs semantic analysis on a query and generates one or more semantic structures where each structure is expressed by a graph. The processor generates retrieval keys corresponding to combinations of nodes connected directly or indirectly in the semantic structures, in addition to retrieval keys corresponding to minimum units of semantic connections between nodes in the generated semantic structures. The processor retrieves relevant documents whose sentences are matched to combinations of nodes, by using the generated retrieval keys, in the semantic structures stored in an index for retrieval on a database storing the documents.

Abstract: An information retrieval device includes a processor that executes processing including: breaking down a natural sentence into a plurality of words and creating retrieval keys from retrieval key candidates which each include two words out of the plurality of words, on the basis of the characteristics that are given to each of the two words; specifying the documents that include the retrieval keys, and calculating the evaluation values of the specified documents and the number of specified documents; recalculating the evaluation values of the documents that correspond to the retrieval keys that are determined to be noise, on the basis of the number of specified documents; and outputting the documents on the basis of the recalculated evaluation values.

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 processor performs semantic analysis on a query and generates one or more semantic structures where each structure is expressed by a graph. The processor generates retrieval keys corresponding to combinations of nodes connected directly or indirectly in the semantic structures, in addition to retrieval keys corresponding to minimum units of semantic connections between nodes in the generated semantic structures. The processor retrieves relevant documents whose sentences are matched to combinations of nodes, by using the generated retrieval keys, in the semantic structures stored in an index for retrieval on a database storing the documents.

Abstract: A processor of an information search apparatus receives an input of information that includes a plurality of search words. The processor separates two search words from the received information. The processor searches for and extracts, from a storage unit, two words that correspond to the two search words and semantic information of the two words, the storage unit storing a plurality of words included in a search target sentence and semantic information in association with the search target sentence, the semantic information stored in the storage unit indicating a relationship established within the search target sentence between the plurality of words and another word. An output unit outputs the extracted semantic information. This allows an intended search result to be obtained efficiently.

Abstract: A unified-evaluated-value computing unit quantitatively combines a translation probability between words computed by a corpus-based statistical-value computing unit, dictionary information computed by a dictionary-information referring unit, and syntactic structure information computed by a syntactic-structure-value computing unit, to compute a unified evaluated-value as an index for phrase alignment.

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 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: 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 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 unified-evaluated-value computing unit quantitatively combines a translation probability between words computed by a corpus-based statistical-value computing unit, dictionary information computed by a dictionary-information referring unit, and syntactic structure information computed by a syntactic-structure-value computing unit, to compute a unified evaluated-value as an index for phrase alignment.

Abstract: A confirmation link edition unit receives a confirmation link specified by a user. A paragraph correlation unit respectively divides an English text and a Japanese text into a plurality of paragraphs according to the specified confirmation link. A segment correlation calculation unit correlates an English segment to a Japanese segment for each paragraph. A correlation edition unit provides a user the correspondence obtained by the segment correlation calculation unit, and edits the correspondence according to a correction instruction from the user if any.

Abstract: A translator support device consists of a display device, an input device, and a main body to which these devices are connected. The main body has a CPU, a DRAM, a MD, and a HDD built-in. A translator support software is installed in the HDD. The translator support software consists of a program group and a data group that operate a computer as a device to support a translator. The translator support software includes a machine translation module, a dictionary database, a translation-memory-retrieval module, and a translation example database. When a translated phrase displayed on the display device is corrected, the translator support device retrieves units that include the correction portion from the database, reflects the correction to each of all the retrieved units.

Abstract: When it accepts an input sentence, the present apparatus divides the input sentence into substrings through morpheme analysis and obtains a candidate word group for translation of the substrings from a machine translation dictionary. It then obtains information on occurrence of each candidate word in the candidate word group within a bilingual example sentence database and calculates their priorities based on the occurrence information. Then, it grants priority as translation to each of the candidate words to generate a prioritized candidate word group and sorts the candidate words in descending order of priority for output.

Abstract: An interface unit issues input/output instructions regarding an input of a translation target sentence, an output of a translated sentence, and a translation control. A machine translating apparatus translates a document in a certain language into a document in another language. A translation memory device translates a sentence by searching an original/translation database in which sentences in a certain language and original/translation sentences in another language corresponding thereto have been accumulated. A data compatible processing unit makes original/translation information translated by the machine translating apparatus and original/translation information translated by the translation memory device common, thereby enabling them to be fetched mutually as original/translation information.

Abstract: A confirmation link edition unit receives a confirmation link specified by a user. A paragraph correlation unit respectively divides an English text and a Japanese text into a plurality of paragraphs according to the specified confirmation link. A segment correlation calculation unit correlates an English segment to a Japanese segment for each paragraph. A correlation edition unit provides a user the correspondence obtained by the segment correlation calculation unit, and edits the correspondence according to a correction instruction from the user if any.

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: This system comprises a translation unit translating an inputted original sentence by selecting each translation word one by one from a plurality of translation words corresponding to each word composing the sentence and combining the selected translation words, a voice recognition unit selecting a translation word matching inputted pronunciation from a plurality of translation words that correspond to the word and have not been selected by the translation unit, and outputting the selected translation word as a result of the voice recognition, and a correction unit correcting the sentence translated by the translation unit, using the translation word outputted from the voice recognition unit.

Abstract: A control section is used which executes the following steps. That is, a) making a plurality of voters respectively vote evaluation of voting-object information in accordance with an on-line voting system by using a plurality of clients, each client being set at a voters sides, b) calculating average evaluation in accordance with voting results, c) deciding a voter's rank of each of the voters in accordance with a deviation between average evaluation and evaluation by the voter concerned, and d) determining overall evaluation of voting-object information at least in accordance with a result of weighting a voting result correspondingly to the voter's rank.

Abstract: When a keyword described in Japanese is input, the input keyword is converted from Japanese into English. Thus, a retrieval keyword described in English is generated based on the input keyword described in Japanese. Documents that are described in English and that contain the retrieval keyword described in English are retrieved from a database. The retrieved documents are translated from English into Japanese. The documents translated into Japanese are compared with the input keyword described in Japanese. Thus, the validity of the results retrieved from the database is evaluated. Thus, even if the language of a database from which the data is retrieved is different from the language of the input keyword, retrieved results exactly based on the input keyword can be output.