Syntactic analysis for large vocabulary speech recognition using a context-free covering grammar

Author

Miller, L.G. ; Levinson, S.E.

Author_Institution

AT&T Bell Lab., Murray Hill, NJ, USA

fYear

1988

fDate

11-14 Apr 1988

Firstpage

271

Abstract

The authors describe a syntactive component for large vocabulary speech recognition that incorporates a context-free covering grammar as the language model. The component comprises two modules: a preprocessing module and a syntactic analysis module. The preprocessing module consists of a lexical and a grammar preprocessor. The preprocessors facilitate grammar development. The syntactic analysis module consists of an error correcting maximum likelihood Cocke-Younger-Kasami parser and a context-free covering grammar. The parsar determines the sentence of maximum likelihood accepted by the grammar with respect to a word log likelihood matrix supplied b the acoustic/phonetic component of the speech recognition system. The effectiveness of this type of syntactic analysis was tested in a simulation using a 1040 word vocabulary. Results and error correcting examples are given

Keywords

context-free grammars; speech recognition; context-free covering grammar; error correcting maximum likelihood Cocke-Younger-Kasami parser; language model; large vocabulary; lexical preprocessor; preprocessing module; speech recognition; syntactic analysis module; syntactive component; word log likelihood matrix; Acoustic testing; Algorithm design and analysis; Analytical models; Context modeling; Data mining; Error correction; Natural languages; Speech analysis; Speech recognition; Vocabulary;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 1988. ICASSP-88., 1988 International Conference on

Conference_Location

New York, NY

ISSN

1520-6149

Type

conf

DOI

10.1109/ICASSP.1988.196568

Filename

196568