Language modeling using patterns extracted from parse trees for speech recognition

Takatoshi Jitsuhiro*, Hirofumi Yamamoto, Setsuo Yamada, Genichiro Kikui, Yoshinori Sagisaka

*この研究の対応する著者

研究成果: Article査読

抄録

We propose new language models to represent phrasal structures by patterns extracted from parse trees. First, modified word trigram models are proposed. They are extracted from sentences analyzed by the preprocessing of the parser with knowledge. Since sentences are analyzed to create sub-trees of a few words, these trigram models can represent relations among a few neighbor words more strongly than conventional word trigram models. Second, word pattern models are used on these modified word trigram models. The word patterns are extracted from parse trees and can represent phrasal structures and much longer word-dependency than trigram models. Experimental results show that modified trigram models are more effective than traditional trigram models and that pattern models attain slight improvements over modified trigram models. Furthermore, additional experiments show that pattern models are more effective for long sentences.

本文言語English
ページ(範囲)446-453
ページ数8
ジャーナルIEICE Transactions on Information and Systems
E86-D
3
出版ステータスPublished - 2003 3月
外部発表はい

ASJC Scopus subject areas

  • ソフトウェア
  • ハードウェアとアーキテクチャ
  • コンピュータ ビジョンおよびパターン認識
  • 電子工学および電気工学
  • 人工知能

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