Nec Corporation

Tasuku Kitade

Takafumi Koshinaka

Yoshifumi Onishi

Provided is to a text data processing apparatus, method and program to add a symbol at an appropriate position. The apparatus according to this embodiment is a text data processing apparatus that executes edit of a symbol in input text, the apparatus including symbol edit determination meansthat determines whether symbol edit is necessary or not based on a frequency of symbol insertion in a block consisting of a plurality of divided text; and symbol edit position calculation meansthat calculates likelihood of the symbol edit based on likelihood of symbol insertion for a word and a distance between the symbols and calculates a symbol edit position in the block in accordance with the likelihood of symbol edit or a word in the block when the symbol edit determination means determines that the symbol edit is necessary.

Text data processing apparatus, text data processing method, and recording medium storing text data processing program

The present invention uses a language model creation devicethat creates a new language model using a standard language model created from standard language text. The language model creation deviceincludes a transformation rule storage sectionthat stores transformation rules used for transforming dialect-containing word strings into standard language word strings, and a dialect language model creation sectionthat creates dialect-containing n-grams by applying the transformation rules to word n-grams in the standard language model and, furthermore, creates the new language model (dialect language model) by adding the created dialect-containing n-grams to the word n-grams.

Language model creation device, language model creation method, and computer-readable storage medium

Enables symbol insertion evaluation in consideration of a difference in speaking style features between speakers. For a word sequence transcribing voice information, the symbol insertion likelihood calculation meansobtains a symbol insertion likelihood for each of a plurality of symbol insertion models supplied for different speaking style features. The speaking style feature similarity calculation meansobtains a similarity between the speaking style feature of the word sequence and the plurality of speaking style feature models. The symbol insertion evaluation meansweights the symbol insertion likelihood obtained for the word sequence by each of the plurality of symbol insertion models according to the similarity between the speaking style feature of the word sequence and the plurality of speaking style feature models and the relevance between the symbol insertion model and the speaking style feature model, and performs symbol insertion evaluation to the word sequence.

Growing community of inventors

Tokyo, Japan

Tasuku Kitade