Abstract: By inputting words of source language as a keyword (31), a translation pairs are extracted (50) from a parallel corpus database including source language and target one. From the partially corresponding information on the translation sentence, a corresponding phrase group table formed by the corresponding phase of the target language corresponding to the source language phrase including a keyword phrase f the source language is stored (60). Text generator (70) assumes a relationship between the phrases of different language contained in the corresponding phrase group table and generates a text sentence candidate (32) of the target language.

Abstract: A device or computer readable medium for accurately and automatically obtaining general-purpose information regarding the usage difference between a plurality of synonyms and quasi-synonyms, such as the types of words with which the synonyms and quasi-synonyms are often used, is described. The usage information may be obtained by receiving the input of a plurality of words; extracting sentence data including an inputted word from a corpus; analyzing the sentence structure of the sentence data and extracting nouns that are in a grammatical relationship with the inputted word included in the sentence data; extracting the nodes representing the nouns and the nodes representing the semantic category of the noun from a thesaurus and forming a directional graph for each inputted word; comparing a plurality of directional graphs and extracting the difference nodes; and outputting the extracted difference nodes as information relating to the usage difference of the inputted words.

Abstract: The device of the present invention can automatically extract words under accurately controlled set conditions. A word presenting means presents words to a subject, a biological activity measuring means measures the biological activity in the subject, and a calculation means receives a biological activity signal from the biological activity measuring means and calculates time from presenting the words until detecting a biological activity by the subject accompanied with the word. The calculation means is equipped with a word database where word data indicating words are stored and can be presented to the subject, a category data of the words and attribute data of the words are related and also stored, respectively, and a word extractor to search the word database and to extract the word data belonging to or relating to a predetermined category, and, satisfying predetermined word attribute, based upon the search conditions.

Abstract: A text generation method and a text generation device generate a meaningful text even though the number of input keywords is insufficient. In order to achieve this object, keywords are input to the text generation device. In the text generation device, a Bunsetsu-generation-rule acquisition unit acquires a Bunsetsu generation rule from a corpus and a Bunsetsu-candidate generation unit generates Bunsetsu candidates from the keywords. A text candidate generation unit generates text candidates with assuming a dependency relation among the Bunsetsu candidates. An evaluation unit evaluates the text candidates and outputs text in accordance with the evaluation.

Abstract: An negative example prediction processing method for predicting a likelihood of examples being negative for data where, with respect to a certain problem, it is not known whether the data is for a correctly worded positive example or for an incorrectly worded negative example. In this negative example prediction processing method, an unknown example x is inputted and a determination is made as to whether or not the example x exists in a positive example database provided in advance. If the example x does not exist, a typical probability of appearance p(x) for the example x is calculated, and a likelihood Q (x) of the example x being an negative example is calculated from the probability of appearance p(x).

Abstract: A device or computer implemented program for accurately and automatically obtaining general-purpose information regarding the usage difference between a plurality of synonyms and quasi-synonyms, such as the types of words with which the synonyms and quasi-synonyms are often used, is provided with: means for receiving the input of a plurality of words; means for extracting sentence data including an inputted word from a corpus; means for analyzing the sentence structure of the sentence data and extracting nouns that are in a grammatical relationship with the inputted word included in the sentence data; means for extracting the nodes representing the nouns and the nodes representing the semantic category of the noun from a thesaurus and forming a directional graph for each inputted word; means for comparing a plurality of directional graphs and extracting the difference nodes; and means for outputting the extracted difference nodes as information relating to the usage difference of the inputted words.

Abstract: By inputting words of source language as a keyword (31), a translation pairs are extracted (50) from a parallel corpus database including source language and target one. From the partially corresponding information on the translation sentence, a corresponding phrase group table formed by the corresponding phase of the target language corresponding to the source language phrase including a keyword phrase f the source language is stored (60). Text generator (70) assumes a relationship between the phrases of different language contained in the corresponding phrase group table and generates a text sentence candidate (32) of the target language.

Abstract: A reference value calculation unit calculates, as a reference value, the value in which the mean value, the mode value and the median are averaged by obtaining the mean value, the mode value and the median for the year at which the document containing each keyword is published, based on the annual publication data inputted into a data input unit. A data sort unit sorts the annual publication data for each keyword, based on the calculated reference value. And a data display unit creates a display data based on the sorted annual publication data and displays the created display data on a screen.

Abstract: The device of the present invention can automatically extract words under accurately controlled set conditions. A word presenting means presents words to a subject, a biological activity measuring means measures the biological activity in the subject, and a calculation means receives a biological activity signal from the biological activity measuring means and calculates time from presenting the words until detecting a biological activity by the subject accompanied with the word. The calculation means is equipped with a word database where word data indicating words are stored and can be presented to the subject, a category data of the words and attribute data of the words are related and also stored, respectively, and a word extractor to search the word database and to extract the word data belonging to or relating to a predetermined category, and, satisfying predetermined word attribute, based upon the search conditions.

Abstract: The present invention provides a high-precision syntactic structure analysis method to contribute to promotion of precise language processing technique. A monolingual document and a document translated from the monolingual document are input. If a plurality of analysis results occurs and is difficult to identify in the syntactic structure analysis in the monolingual document, such as a dependency structure analysis, a dependency structure is examined in the translation document, and an optimum dependency structure analysis is performed based on the examination result.

Abstract: The present invention provides method and apparatus for generating a natural text from at least one keyword. The keyword is input by a keyword input unit, and a text and phrase searching and extracting unit extracts any text or phrase containing keywords, if any. A text generation unit morphologically analyzes and parses the extracted text, and outputs a natural text by combining the text with the keyword.

Abstract: To present appropriate characteristic terms to a searcher with respect to an arbitrary retrieval term, and provide an efficient information retrieving method.

Abstract: An negative example prediction processing method for predicting a likelihood of examples being negative for data where, with respect to a certain problem, it is not known whether the data is for a correctly worded positive example or for an incorrectly worded negative example. In this negative example prediction processing method, an unknown example x is inputted and a determination is made as to whether or not the example x exists in a positive example database provided in advance. If the example x does not exist, a typical probability of appearance p(x) for the example x is calculated, and a likelihood Q(x) of the example x being an negative example is calculated from the probability of appearance p(x).

Abstract: An information retrieval processing apparatus has a unit accepting positional information, in a case that the positional information designating a range to extract a retrieval key on an electronic character information displayed on an output device is input, a unit specifying a predetermined retrieval key extracting range from the electronic character information displayed on the output device on a basis of the positional information, and a unit performing the information retrieval based on the specified retrieval key extracting range and outputting the retrieved result.