Abstract: A speech recognition unit (102) includes a phrase determination unit (103) which determines a phrase boundary based on the comparison between the hypothetical word group generated by speech recognition and set words representing phrase boundaries. In this speech processing device, the speech recognition unit (102) outputs recognition results for each phrase based on a phrase boundary determined by the phrase determination unit (103).

Abstract: A plurality of pruning measures (PM) are calculated from a feature amount (CV) of test data (TD) which is input, a plurality of isopycnic surfaces (EC) are plotted and set on a threshold space (SS), a threshold curved surface (SC) in which a decrease in at least one of a plurality of pruning measures (PM) causes an increase in at least one thereof is generated using a portion of one isopycnic surface (EC) as a part, a hypothesis curved surface (HC) of subject data (CD) is generated on the threshold space (SS) to set a position intersecting the threshold curved surface (SC) to a pruning threshold (PS), and a plurality of hypotheses of the subject data (CD) are pruned. Thereby, there is provided a data processing device of which at least one of the recognition speed and the recognition accuracy is higher than in the related art.

Abstract: A speech recognition device has: hypothesis search means which searches for an optimal solution of inputted speech data by generating a hypothesis which is a bundle of words which are searched for as recognition result candidates; self-repair decision means which calculates a self-repair likelihood of a word or a word sequence included in the hypothesis which is being searched for by the hypothesis search means, and decides whether or not self-repair of the word or the word sequence is performed; and transparent word hypothesis generation means which, when the self-repair decision means decides that the self-repair is performed, generates a transparent word hypothesis which is a hypothesis which regards as a transparent word a word or a word sequence included in an un-repaired interval related to the word or the word sequence, and the hypothesis search means searches hypotheses for an optimal solution, the hypotheses including as search target hypotheses the transparent word hypothesis generated by the transp

Abstract: A speech recognition system has: hypothesis search means which searches for an optimal solution of inputted speech data by generating a hypothesis which is a bundle of words which are searched for as recognition result candidates; self-repair decision means which calculates a self-repair likelihood of a word or a word sequence included in the hypothesis which is being searched for by the hypothesis search means, and decides whether or not self-repair of the word or the word sequence is performed; and transparent word hypothesis generation means which, when it is decided that the self-repair is performed, generates a transparent word hypothesis which is a hypothesis which regards as a transparent word a word or a word sequence included in a disfluency interval or a repair interval of a self-repair interval including the word or the word sequence.

Abstract: Provided is a text processing system capable of avoiding declining processing efficiency in analyses of text that does not contain breaks. This text processing system comprises: a linking means for generating linking data that links acquired text after the link object analysis result, which are the results of the analysis of text acquired prior to the acquired text; an analysis means for carrying out language analysis on the linked data, using at least a portion of the link object analysis result; and a determination means for determining a prescribed unit break included in the linked data, on the basis of the results of the analysis by the analysis means. The link object analysis results are the results of the analysis after the break that is determined by the determination means. The link object analysis results are the results of the analysis after the break that is determined by the determination means.

Abstract: A plurality of pruning measures (PM) are calculated from a feature amount (CV) of test data (TD) which is input, a plurality of isopycnic surfaces (EC) are plotted and set on a threshold space (SS), a threshold curved surface (SC) in which a decrease in at least one of a plurality of pruning measures (PM) causes an increase in at least one thereof is generated using a portion of one isopycnic surface (EC) as a part, a hypothesis curved surface (HC) of subject data (CD) is generated on the threshold space (SS) to set a position intersecting the threshold curved surface (SC) to a pruning threshold (PS), and a plurality of hypotheses of the subject data (CD) are pruned. Thereby, there is provided a data processing device of which at least one of the recognition speed and the recognition accuracy is higher than in the related art.

Abstract: A speech recognition unit (102) includes a phrase determination unit (103) which determines a phrase boundary based on the comparison between the hypothetical word group generated by speech recognition and set words representing phrase boundaries. In this speech processing device, the speech recognition unit (102) outputs recognition results for each phrase based on a phrase boundary determined by the phrase determination unit (103).

Abstract: A language processing system according to the present invention includes: an input device 1 that receives an input of an input document; and a unit selecting dictionary 22 that selects a document-information-attached user dictionary that is a user dictionary to which document information is attached. The unit selecting dictionary 22 selects the dictionary, based on the degree of similarity between the input document input from the input unit 1 and the document information attached to the document-information-attached user dictionary. The language processing system further includes a document-information-attached user dictionary storage unit 31 that stores the document-information-attached user dictionary. One or more sentences are attached as the document information to the document-information-attached user dictionary.

Abstract: In machine translation and automatic interpretation processing, it is possible to appropriately translate proper nouns not registered to a dictionary. The proper noun dictionary data generating means 21 generates proper noun user dictionary data according to a predetermined rule using proper nouns in a target language kept in the proper noun storage section 31. The generated proper noun user dictionary data is stored in the proper noun user dictionary storage section 32. The proper noun user dictionary is outputted to the output device 4 at any time to be referred to when a translation object sentence is inputted. The machine translation means 22 conducts translation using, in addition to the machine translation dictionary, the proper noun user dictionary stored in the proper noun user dictionary storage section 32.