New language models using phrase structures extracted from parse trees

Takatoshi Jitsuhiro, Hirofumi Yamamoto, Setsuo Yamada, Yoshinori Sagisaka

研究成果: Conference contribution

抄録

This paper proposes a new speech recognition scheme using three linguistic constraints. Multi-class composite bigram models [1] are used in the first and second passes to reflect word-neighboring characteristics as an extension of conventional word n-gram models. Trigram models with constituent boundary markers and word pattern models are both used in the third pass to utilize phrasal constraints and headword co-occurrences, respectively. These two models are made using a training text corpus with phrase structures given by an example based Transfer-Driven Machine Translation (TDMT) parser [2]. Speech recognition experiments show that the new recognition scheme reduces word errors 9.50% from the conventional scheme by using word-neighboring characteristics, that is only the multi-class composite bigram models.

本文言語English
ホスト出版物のタイトルEUROSPEECH 2001 - SCANDINAVIA - 7th European Conference on Speech Communication and Technology
出版社International Speech Communication Association
ページ697-700
ページ数4
ISBN(電子版)8790834100, 9788790834104
出版ステータスPublished - 2001
外部発表はい
イベント7th European Conference on Speech Communication and Technology - Scandinavia, EUROSPEECH 2001 - Aalborg, Denmark
継続期間: 2001 9 32001 9 7

Other

Other7th European Conference on Speech Communication and Technology - Scandinavia, EUROSPEECH 2001
国/地域Denmark
CityAalborg
Period01/9/301/9/7

ASJC Scopus subject areas

  • 通信
  • 言語学および言語
  • コンピュータ サイエンスの応用
  • ソフトウェア

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