Word boundary probability estimating, probabilistic language model building, kana-kanji converting, and unknown word model building
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[0048]1 . . . Kana-kanji converting device [0049]10 . . . CPU [0050]12 . . . Input device [0051]14 . . . Display device [0052]16 . . . Storage device [0053]18 . . . Recording medium [0054]2 . . . Kana-kanji conversion program [0055]22 . . . Language decoding section [0056]30 . . . Base form pool [0057]300 . . . Vocabulary dictionary [0058]302 . . . Character dictionary [0059]32 . . . Language model [0060]320 . . . First corpus (word-segmented) [0061]322 . . . Second corpus (word-unsegmented)
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[0062] The present invention provides that a word n-gram probability is calculated with high accuracy in a situation where: [0063] (a) a first corpus (word-segmented), which is a relatively small corpus containing manually segmented word information, and [0064] (b) a second corpus (word-unsegmented), which is a relatively large corpus containing raw information are given as a training corpus that is storage containing vast quantities of sample sentences.
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