Daisuke Takuma

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Statistical language modeling plays an important role in a state-of-the-art speech recognizer. The most used language model (LM) is word Ò-gram model, which is based on the frequency of words and word sequences in a corpus. In various Asian languages, however, words are not delimited by whitespace, so we need to annotate sentences with word boundary(More)
The noisy channel model approach is successfully applied to various natural language processing tasks. Currently the main research focus of this approach is adaptation methods, how to capture characteristics of words and expressions in a target domain given example sentences in that domain. As a solution we describe a method enlarging the vocabulary of a(More)
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