A hierarchical language model incorporating class-dependent word models for OOV words recognition

Koichi Tanigaki, Hirofumi Yamamoto, Yoshinori Sagisaka

研究成果: Conference contribution

17 被引用数 (Scopus)

抄録

A new language model is proposed to cope with the demands for recognizing out-of-vocabulary (OOV) words not registered in the lexicon. This language model is a class N-gram incorporating a set of word models that reflect the statistical characteristics of the phonotactics, which depend on the lexical classes. Utilization of class-dependency enhances recognition accuracy and enables identification of the class of OOV words. OOV words can be recognized as transcribed portions having class labels, which provide semantic attributes of OOV words to subsequent language processing. Experimental application of the model to Japanese personal and family names showed that it performs nearly as well as the upper bound of the in-vocabulary recognition.

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 162000 10 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

フィンガープリント

「A hierarchical language model incorporating class-dependent word models for OOV words recognition」の研究トピックを掘り下げます。これらがまとまってユニークなフィンガープリントを構成します。

引用スタイル