<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="rayner-etal-2014-call">
    <titleInfo>
        <title>CALL-SLT: A Spoken CALL System Based on Grammar and Speech Recognition</title>
    </titleInfo>
    <name type="personal">
        <namePart type="given">Manny</namePart>
        <namePart type="family">Rayner</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Nikos</namePart>
        <namePart type="family">Isourakis</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Claudia</namePart>
        <namePart type="family">Baur</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Pierrette</namePart>
        <namePart type="family">Bouillon</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <name type="personal">
        <namePart type="given">Johannna</namePart>
        <namePart type="family">Gerlach</namePart>
        <role>
            <roleTerm authority="marcrelator" type="text">author</roleTerm>
        </role>
    </name>
    <originInfo>
        <dateIssued>2014</dateIssued>
    </originInfo>
    <typeOfResource>text</typeOfResource>
    <genre authority="bibutilsgt">journal article</genre>
    <relatedItem type="host">
        <titleInfo>
            <title>Linguistic Issues in Language Technology</title>
        </titleInfo>
        <originInfo>
            <issuance>continuing</issuance>
            <publisher>CSLI Publications</publisher>
        </originInfo>
        <genre authority="marcgt">periodical</genre>
        <genre authority="bibutilsgt">academic journal</genre>
    </relatedItem>
    <abstract>We describe CALL-SLT, a speech-enabled Computer-Assisted Language Learning application where the central idea is to prompt the student with an abstract representation of what they are supposed to say, and then use a combination of grammar-based speech recognition and rule-based translation to rate their response. The system has been developed to the level of a mature prototype, freely deployed on the web, with versions for several languages. We present an overview of the core system architecture and the various types of content we have developed. Finally, we describe several evaluations, the last of which is a study carried out over about a week using 130 subjects recruited through the Amazon Mechanical Turk, in which CALL-SLT was contrasted against a control version where the speech recognition component was disabled. The improvement in student learning performance between the two groups was significant at p \textless 0.02.</abstract>
    <identifier type="citekey">rayner-etal-2014-call</identifier>
    <location>
        <url>https://aclanthology.org/2014.lilt-10.2</url>
    </location>
    <part>
        <date>2014</date>
        <detail type="volume"><number>10</number></detail>
    </part>
</mods>
</modsCollection>

%0 Journal Article
%T CALL-SLT: A Spoken CALL System Based on Grammar and Speech Recognition
%A Rayner, Manny
%A Isourakis, Nikos
%A Baur, Claudia
%A Bouillon, Pierrette
%A Gerlach, Johannna
%J Linguistic Issues in Language Technology
%D 2014
%V 10
%I CSLI Publications
%F rayner-etal-2014-call
%X We describe CALL-SLT, a speech-enabled Computer-Assisted Language Learning application where the central idea is to prompt the student with an abstract representation of what they are supposed to say, and then use a combination of grammar-based speech recognition and rule-based translation to rate their response. The system has been developed to the level of a mature prototype, freely deployed on the web, with versions for several languages. We present an overview of the core system architecture and the various types of content we have developed. Finally, we describe several evaluations, the last of which is a study carried out over about a week using 130 subjects recruited through the Amazon Mechanical Turk, in which CALL-SLT was contrasted against a control version where the speech recognition component was disabled. The improvement in student learning performance between the two groups was significant at p \textless 0.02.
%U https://aclanthology.org/2014.lilt-10.2

Markdown (Informal)

[CALL-SLT: A Spoken CALL System Based on Grammar and Speech Recognition](https://aclanthology.org/2014.lilt-10.2) (Rayner et al., LILT 2014)

• CALL-SLT: A Spoken CALL System Based on Grammar and Speech Recognition (Rayner et al., LILT 2014)

ACL

• Manny Rayner, Nikos Isourakis, Claudia Baur, Pierrette Bouillon, and Johannna Gerlach. 2014. CALL-SLT: A Spoken CALL System Based on Grammar and Speech Recognition. Linguistic Issues in Language Technology, 10.