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Language Model for the Web Search Task in a Spoken Dialogue System for Children

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dc.contributor.author Miyake, Jumpei en
dc.contributor.author Takeuchi, Shota en
dc.contributor.author Kawanami, Hiromichi en
dc.contributor.author Saruwatari, Hiroshi en
dc.contributor.author Shikano, Kiyohiro en
dc.date.accessioned 2012-08-30T02:23:27Z en
dc.date.available 2012-08-30T02:23:27Z en
dc.date.issued 2008-10 en
dc.identifier.uri http://hdl.handle.net/10061/8288 en
dc.description WOCCI 2008: The 1st Workshop on Child, Computer, and Interaction, October 23, 2008, Chania, Crete, Greece. en
dc.description.abstract In this paper, we propose a method to improve the speech recognition accuracy for web search utterances to a spoken dialogue system. Speech data with a dialogue system are obtained by our speech-oriented information guidance system, ”Takemaru-kun” [1], which has been in operation at a public community center since November 2002. From the results of manual labeling of the utterances, child utterances account for about 80%. Most of the web search utterances are out-of-domain words, i.e. trendy words or proper nouns. In order to adapt it to a wider domain, we propose to expand the language model and the vocabulary by collecting from various web resources such as weblogs and open dictionaries. First, we analyze the characteristics of the adult and child web search utterances separately. Then, we make a comparative study of a variety of learning corpora for language model construction. Finally, comparison of the performance of the language models is conducted. ja
dc.language.iso en en
dc.title Language Model for the Web Search Task in a Spoken Dialogue System for Children en
dc.type.nii Conference Paper en
dc.textversion Publisher en
dc.identifier.NAIST-ID 73292492 en


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