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A Level-Building Top-Down Parsing Algorithm for Context-Free Grammars in Continuous Speech Recognition

Identifieur interne : 000274 ( Hal/Corpus ); précédent : 000273; suivant : 000275

A Level-Building Top-Down Parsing Algorithm for Context-Free Grammars in Continuous Speech Recognition

Auteurs : François Charpillet ; Joseph Di Martino

Source :

RBID : Hal:hal-00835135

English descriptors

Abstract

We present in this paper a dynamic programming parsing algorithm in the framework of continuous speech recognition. The language of the applications we want to deal with, is described using a context-free grammar given in Greibach normal form. The parsing algorithm follows the level-building technique and finds the p sentences matching the speech signal with the best scores. Our approach is different from the existing ones, in the sense that it is suboptimal but with a lower order of complexity. By suboptimal we mean that a syntactically correct sentence with a score belonging to the p best ones can be missed by our algorithm. This leads us to discuss the trade-off between quality of results on the one hand and the complexity of the algorithm on the other hand. As a conclusion, we will see that in practice, our approach yields results of comparable quality in spite of their slight theoritical corruption.

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Hal:hal-00835135

Le document en format XML

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<idno type="halRefHtml">EUROSPEECH - Third European Conference on Speech Communication and Technology - 1993, Sep 1993, Berlin, Germany. pp.1947-1949, 1993</idno>
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<idno type="stamp" n="INPL">Institut National Polytechnique de Lorraine</idno>
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<title xml:lang="en">A Level-Building Top-Down Parsing Algorithm for Context-Free Grammars in Continuous Speech Recognition</title>
<author role="aut">
<persName>
<forename type="first">François</forename>
<surname>Charpillet</surname>
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<email>francois.charpillet@loria.fr</email>
<idno type="idHal">francois-charpillet</idno>
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<forename type="first">Joseph</forename>
<surname>Di Martino</surname>
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<email>jdm@loria.fr</email>
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<title>EUROSPEECH - Third European Conference on Speech Communication and Technology - 1993</title>
<date type="start">1993-09-22</date>
<date type="end">1993-09-25</date>
<settlement>Berlin</settlement>
<country key="DE">Germany</country>
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<biblScope unit="pp">1947-1949</biblScope>
<date type="datePub">1993</date>
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<term xml:lang="en">Dynamic Programming</term>
<term xml:lang="en">Context-Free</term>
<term xml:lang="en">Grammars</term>
<term xml:lang="en">Continuous Speech</term>
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<abstract xml:lang="en">We present in this paper a dynamic programming parsing algorithm in the framework of continuous speech recognition. The language of the applications we want to deal with, is described using a context-free grammar given in Greibach normal form. The parsing algorithm follows the level-building technique and finds the p sentences matching the speech signal with the best scores. Our approach is different from the existing ones, in the sense that it is suboptimal but with a lower order of complexity. By suboptimal we mean that a syntactically correct sentence with a score belonging to the p best ones can be missed by our algorithm. This leads us to discuss the trade-off between quality of results on the one hand and the complexity of the algorithm on the other hand. As a conclusion, we will see that in practice, our approach yields results of comparable quality in spite of their slight theoritical corruption.</abstract>
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