Gap-filling LR Parsing for Noisy Spoken Input: Towards Interactive Speech Recognition

Hiroaki Saito

Gap-filling LR Parsing for Noisy Spoken Input: Towards Interactive Speech Recognition

Research output: Contribution to conference › Paper › peer-review

Abstract

This paper introduces the new parsing technique "gap-filling LR parsing." This technique enhances the robustness of the generalized LR parsing and is very useful in speech recognition in that the parser can skip the very noisy part of the input The unidentified portion is resolved by the re-utterance of that portion by the speaker, which is parsed very efficiently by using the parse record of the first utterance. Experiments in parsing Japanese spoken input show the significant effectiveness of this interactive approach.

Original language	English
Pages	909-912
Number of pages	4
Publication status	Published - 1990
Externally published	Yes
Event	1st International Conference on Spoken Language Processing, ICSLP 1990 - Kobe, Japan Duration: 1990 Nov 18 → 1990 Nov 22

Conference

Conference	1st International Conference on Spoken Language Processing, ICSLP 1990
Country/Territory	Japan
City	Kobe
Period	90/11/18 → 90/11/22

ASJC Scopus subject areas

Language and Linguistics
Linguistics and Language

Cite this

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title = "Gap-filling LR Parsing for Noisy Spoken Input: Towards Interactive Speech Recognition",

abstract = "This paper introduces the new parsing technique {"}gap-filling LR parsing.{"} This technique enhances the robustness of the generalized LR parsing and is very useful in speech recognition in that the parser can skip the very noisy part of the input The unidentified portion is resolved by the re-utterance of that portion by the speaker, which is parsed very efficiently by using the parse record of the first utterance. Experiments in parsing Japanese spoken input show the significant effectiveness of this interactive approach.",

author = "Hiroaki Saito",

note = "Funding Information: The author is grateful to Dr. Masaru Tomita for valuable comments on this work. The author also wishes to thank the members of the Center for Machine Translation for useful discussions. Publisher Copyright: {\textcopyright} 1990 1st International Conference on Spoken Language Processing, ICSLP 1990. All rights reserved.; 1st International Conference on Spoken Language Processing, ICSLP 1990 ; Conference date: 18-11-1990 Through 22-11-1990",

year = "1990",

language = "English",

pages = "909--912",

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T1 - Gap-filling LR Parsing for Noisy Spoken Input

T2 - 1st International Conference on Spoken Language Processing, ICSLP 1990

AU - Saito, Hiroaki

N1 - Funding Information: The author is grateful to Dr. Masaru Tomita for valuable comments on this work. The author also wishes to thank the members of the Center for Machine Translation for useful discussions. Publisher Copyright: © 1990 1st International Conference on Spoken Language Processing, ICSLP 1990. All rights reserved.

PY - 1990

Y1 - 1990

N2 - This paper introduces the new parsing technique "gap-filling LR parsing." This technique enhances the robustness of the generalized LR parsing and is very useful in speech recognition in that the parser can skip the very noisy part of the input The unidentified portion is resolved by the re-utterance of that portion by the speaker, which is parsed very efficiently by using the parse record of the first utterance. Experiments in parsing Japanese spoken input show the significant effectiveness of this interactive approach.

AB - This paper introduces the new parsing technique "gap-filling LR parsing." This technique enhances the robustness of the generalized LR parsing and is very useful in speech recognition in that the parser can skip the very noisy part of the input The unidentified portion is resolved by the re-utterance of that portion by the speaker, which is parsed very efficiently by using the parse record of the first utterance. Experiments in parsing Japanese spoken input show the significant effectiveness of this interactive approach.

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M3 - Paper

AN - SCOPUS:85133545547

SP - 909

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Y2 - 18 November 1990 through 22 November 1990

ER -

Gap-filling LR Parsing for Noisy Spoken Input: Towards Interactive Speech Recognition

Abstract

Conference

ASJC Scopus subject areas

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