HIERARCHICAL TAG-GRAPH SEARCH FOR SPONTANEOUS SPEECH UNDERSTANDING IN SPOKEN DIALOG SYSTEMS

Bor Shen Lin*, Berlin Chen, Hsin Min Wang, Lin Shan Lee

*此作品的通信作者

研究成果: 會議貢獻類型會議論文同行評審

2 引文 斯高帕斯(Scopus)

摘要

It has been relatively difficult to develop natural language parsers for spoken dialog systems, not only because of the possible recognition errors, pauses, hesitations, out-of-vocabulary words, and the grammatically incorrect sentence structures, but because of the great efforts required to develop a general enough grammar with satisfactory coverage and flexibility to handle different applications. In this paper, a new hierarchical graph-based search scheme with layered structure is presented, which is shown to provide more robust and flexible spontaneous speech understanding for spoken dialog systems.

原文英語
出版狀態已發佈 - 1998
對外發佈
事件5th International Conference on Spoken Language Processing, ICSLP 1998 - Sydney, 澳大利亚
持續時間: 1998 11月 301998 12月 4

會議

會議5th International Conference on Spoken Language Processing, ICSLP 1998
國家/地區澳大利亚
城市Sydney
期間1998/11/301998/12/04

ASJC Scopus subject areas

  • 語言與語言學
  • 語言和語言學

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