Fine keyword clustering using a thesaurus and example sentences for speech translation

Yumi Wakita, Kenji Matsui, Yoshinori Sagisaka

研究成果: Conference contribution

4 被引用数 (Scopus)

抄録

For robust speech translation, we propose a new language translation method in which speech recognition results are mapped to example sentences using keywords. In this method, the keyword clustering is used to cope with recognition errors and the wide variety of words that do not appear in the training corpus. Initial classes defined using only thesaurus are redefined by using the dependency between the keywords in limited number of example sentences. The effectiveness of our keyword clustering method is confirmed through example sentence search experiments. These experiments were done using keyword sets of (a) different sentences including keywords not in the example sentences and (b) recognition results those sentences in which recognition errors were obtained. Compared with the search method which uses keyword sets defined by using only a thesaurus, our proposed method offered improved search error rates.

本文言語English
ホスト出版物のタイトル6th International Conference on Spoken Language Processing, ICSLP 2000
出版社International Speech Communication Association
ISBN(電子版)7801501144, 9787801501141
出版ステータスPublished - 2000
外部発表はい
イベント6th International Conference on Spoken Language Processing, ICSLP 2000 - Beijing, China
継続期間: 2000 10月 162000 10月 20

Other

Other6th International Conference on Spoken Language Processing, ICSLP 2000
国/地域China
CityBeijing
Period00/10/1600/10/20

ASJC Scopus subject areas

  • 言語学および言語
  • 言語および言語学

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