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A Robust Parser for Spoken Language Understanding

Ye-Yi Wang

Abstract

This paper describes a robust parsing algorithm for spoken language understanding. Comparing with the other work in robust parsing, we focus on building a parser that is robust to not only ill-formed spontaneous spoken language inputs but also under-specified grammars. Preliminary experiment results show that the parsing performance deteriorates more gracefully than another parser we have used when the grammar is more under-specified.

Details

Publication typeInproceedings
Published inEurospeech
Pages2055-2058
Volume5
AddressBudapest, Hungary
PublisherInternational Speech Communication Association
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