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

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

*Corresponding author for this work

Research output: Contribution to conferencePaperpeer-review

2 Citations (Scopus)

Abstract

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.

Original languageEnglish
Publication statusPublished - 1998
Externally publishedYes
Event5th International Conference on Spoken Language Processing, ICSLP 1998 - Sydney, Australia
Duration: 1998 Nov 301998 Dec 4

Conference

Conference5th International Conference on Spoken Language Processing, ICSLP 1998
Country/TerritoryAustralia
CitySydney
Period1998/11/301998/12/04

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

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