<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="santaholma-2009-comparing">
    <titleInfo>
        <title>Comparing Speech Recognizers Derived from Mono- and Multilingual Grammars</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Marianne</namePart>
        <namePart type="family">Santaholma</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2009-06</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <relatedItem type="host">
        <titleInfo>
            <title>Actes de la 16ème conférence sur le Traitement Automatique des Langues Naturelles. REncontres jeunes Chercheurs en Informatique pour le Traitement Automatique des Langues</title>
        </titleInfo>
        <name type="personal">
            <namePart type="given">Thibault</namePart>
            <namePart type="family">Mondary</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Aurélien</namePart>
            <namePart type="family">Bossard</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <name type="personal">
            <namePart type="given">Thierry</namePart>
            <namePart type="family">Hamon</namePart>
            <role>
                <roleTerm authority="marcrelator" type="text">editor</roleTerm>
            </role>
        </name>
        <originInfo>
            <publisher>ATALA</publisher>
            <place>
                <placeTerm type="text">Senlis, France</placeTerm>
            </place>
        </originInfo>
        <genre authority="marcgt">conference publication</genre>
    </relatedItem>
    <abstract>This paper examines the performance of multilingual parameterized grammar rules on speech recognition. We present a performance comparison of two different types of Japanese and English grammar-based speech recognizers. One system is derived from monolingual grammar rules and the other from multilingual parameterized grammar rules. The latter one uses hence the same grammar rules for creation of the language models for these two different languages. We carried out experiments on speech recognition of limited domain dialog application. These experiments show that the language models derived from multilingual parameterized grammar rules (1) perform equally well on both tested languages, on English and Japanese, and (2) that the performance is comparable with the recognizers derived from monolingual grammars that were explicitly developed for these languages. This suggests that the sharing grammar resources between different languages could be one solution for more efficient development of rule-based speech recognizers.</abstract>
    <identifier type="citekey">santaholma-2009-comparing</identifier>
    <location>
        <url>https://aclanthology.org/2009.jeptalnrecital-recital.2/</url>
    </location>
    <part>
        <date>2009-06</date>
        <extent unit="page">
            <start>11</start>
            <end>20</end>
        </extent>
    </part>
</mods>
</modsCollection>

%0 Conference Proceedings
%T Comparing Speech Recognizers Derived from Mono- and Multilingual Grammars
%A Santaholma, Marianne
%Y Mondary, Thibault
%Y Bossard, Aurélien
%Y Hamon, Thierry
%S Actes de la 16ème conférence sur le Traitement Automatique des Langues Naturelles. REncontres jeunes Chercheurs en Informatique pour le Traitement Automatique des Langues
%D 2009
%8 June
%I ATALA
%C Senlis, France
%F santaholma-2009-comparing
%X This paper examines the performance of multilingual parameterized grammar rules on speech recognition. We present a performance comparison of two different types of Japanese and English grammar-based speech recognizers. One system is derived from monolingual grammar rules and the other from multilingual parameterized grammar rules. The latter one uses hence the same grammar rules for creation of the language models for these two different languages. We carried out experiments on speech recognition of limited domain dialog application. These experiments show that the language models derived from multilingual parameterized grammar rules (1) perform equally well on both tested languages, on English and Japanese, and (2) that the performance is comparable with the recognizers derived from monolingual grammars that were explicitly developed for these languages. This suggests that the sharing grammar resources between different languages could be one solution for more efficient development of rule-based speech recognizers.
%U https://aclanthology.org/2009.jeptalnrecital-recital.2/
%P 11-20

Markdown (Informal)

[Comparing Speech Recognizers Derived from Mono- and Multilingual Grammars](https://aclanthology.org/2009.jeptalnrecital-recital.2/) (Santaholma, JEP/TALN/RECITAL 2009)

• Comparing Speech Recognizers Derived from Mono- and Multilingual Grammars (Santaholma, JEP/TALN/RECITAL 2009)

ACL

• Marianne Santaholma. 2009. Comparing Speech Recognizers Derived from Mono- and Multilingual Grammars. In Actes de la 16ème conférence sur le Traitement Automatique des Langues Naturelles. REncontres jeunes Chercheurs en Informatique pour le Traitement Automatique des Langues, pages 11–20, Senlis, France. ATALA.