Multimodal text analysis : A corpus linguistic approach to situated discourse
Identifieur interne : 000032 ( PascalFrancis/Corpus ); précédent : 000031; suivant : 000033Multimodal text analysis : A corpus linguistic approach to situated discourse
Auteurs : YUEGUO GUSource :
- Text & talk [ 1860-7330 ] ; 2006.
Descripteurs français
- Pascal (Inist)
English descriptors
Abstract
Discourse analysis or conversation analysis approaches audio or video data by way of transcription. It takes sentence or utterance as its point of departure, from which it moves up to discourse or conversation, or down to parts of a sentence or utterance. The present study departs from this mainstream paradigm by outlining and demonstrating a corpus linguistic approach to multimodal text analysis that starts from the analytic unit of social situation, to that of activity type, task/episode, and the participants' behavior of talking and doing. The primary data consists of video streams with synchronized sounds rather than orthographic transcripts. The segmentation and annotation of nondiscrete streams of a multimodal text are demonstrated in accordance with the latest Text Encoding Initiative (TEI P4).
Notice en format standard (ISO 2709)
Pour connaître la documentation sur le format Inist Standard.
pA |
|
---|
Format Inist (serveur)
NO : | FRANCIS 08-0322230 INIST |
---|---|
ET : | Multimodal text analysis : A corpus linguistic approach to situated discourse |
AU : | YUEGUO GU |
AF : | Institute of Linguistics, The Chinese Academy of Social Sciences/Beijing 100732/Chine (1 aut.) |
DT : | Publication en série; Niveau analytique |
SO : | Text & talk; ISSN 1860-7330; Allemagne; Da. 2006; Vol. 26; No. 2; Pp. 127-167; Bibl. 2 p.3/4 |
LA : | Anglais |
EA : | Discourse analysis or conversation analysis approaches audio or video data by way of transcription. It takes sentence or utterance as its point of departure, from which it moves up to discourse or conversation, or down to parts of a sentence or utterance. The present study departs from this mainstream paradigm by outlining and demonstrating a corpus linguistic approach to multimodal text analysis that starts from the analytic unit of social situation, to that of activity type, task/episode, and the participants' behavior of talking and doing. The primary data consists of video streams with synchronized sounds rather than orthographic transcripts. The segmentation and annotation of nondiscrete streams of a multimodal text are demonstrated in accordance with the latest Text Encoding Initiative (TEI P4). |
CC : | 52456; 524 |
FD : | Pragmatique; Analyse du discours; Analyse conversationnelle; Linguistique de corpus |
ED : | Pragmatics; Discourse analysis; Conversation analysis; Corpus linguistics |
LO : | INIST-24868.354000132952420010 |
ID : | 08-0322230 |
Links to Exploration step
Francis:08-0322230Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">Multimodal text analysis : A corpus linguistic approach to situated discourse</title>
<author><name sortKey="Yueguo Gu" sort="Yueguo Gu" uniqKey="Yueguo Gu" last="Yueguo Gu">YUEGUO GU</name>
<affiliation><inist:fA14 i1="01"><s1>Institute of Linguistics, The Chinese Academy of Social Sciences</s1>
<s2>Beijing 100732</s2>
<s3>CHN</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">INIST</idno>
<idno type="inist">08-0322230</idno>
<date when="2006">2006</date>
<idno type="stanalyst">FRANCIS 08-0322230 INIST</idno>
<idno type="RBID">Francis:08-0322230</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000032</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Multimodal text analysis : A corpus linguistic approach to situated discourse</title>
<author><name sortKey="Yueguo Gu" sort="Yueguo Gu" uniqKey="Yueguo Gu" last="Yueguo Gu">YUEGUO GU</name>
<affiliation><inist:fA14 i1="01"><s1>Institute of Linguistics, The Chinese Academy of Social Sciences</s1>
<s2>Beijing 100732</s2>
<s3>CHN</s3>
<sZ>1 aut.</sZ>
</inist:fA14>
</affiliation>
</author>
</analytic>
<series><title level="j" type="main">Text & talk</title>
<idno type="ISSN">1860-7330</idno>
<imprint><date when="2006">2006</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><title level="j" type="main">Text & talk</title>
<idno type="ISSN">1860-7330</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Conversation analysis</term>
<term>Corpus linguistics</term>
<term>Discourse analysis</term>
<term>Pragmatics</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Pragmatique</term>
<term>Analyse du discours</term>
<term>Analyse conversationnelle</term>
<term>Linguistique de corpus</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Discourse analysis or conversation analysis approaches audio or video data by way of transcription. It takes sentence or utterance as its point of departure, from which it moves up to discourse or conversation, or down to parts of a sentence or utterance. The present study departs from this mainstream paradigm by outlining and demonstrating a corpus linguistic approach to multimodal text analysis that starts from the analytic unit of social situation, to that of activity type, task/episode, and the participants' behavior of talking and doing. The primary data consists of video streams with synchronized sounds rather than orthographic transcripts. The segmentation and annotation of nondiscrete streams of a multimodal text are demonstrated in accordance with the latest Text Encoding Initiative (TEI P4).</div>
</front>
</TEI>
<inist><standard h6="B"><pA><fA01 i1="01" i2="2"><s0>1860-7330</s0>
</fA01>
<fA05><s2>26</s2>
</fA05>
<fA06><s2>2</s2>
</fA06>
<fA08 i1="01" i2="1" l="ENG"><s1>Multimodal text analysis : A corpus linguistic approach to situated discourse</s1>
</fA08>
<fA11 i1="01" i2="1"><s1>YUEGUO GU</s1>
</fA11>
<fA14 i1="01"><s1>Institute of Linguistics, The Chinese Academy of Social Sciences</s1>
<s2>Beijing 100732</s2>
<s3>CHN</s3>
<sZ>1 aut.</sZ>
</fA14>
<fA20><s1>127-167</s1>
</fA20>
<fA21><s1>2006</s1>
</fA21>
<fA23 i1="01"><s0>ENG</s0>
</fA23>
<fA43 i1="01"><s1>INIST</s1>
<s2>24868</s2>
<s5>354000132952420010</s5>
</fA43>
<fA44><s0>0000</s0>
<s1>© 2008 INIST-CNRS. All rights reserved.</s1>
</fA44>
<fA45><s0>2 p.3/4</s0>
</fA45>
<fA47 i1="01" i2="1"><s0>08-0322230</s0>
</fA47>
<fA60><s1>P</s1>
</fA60>
<fA61><s0>A</s0>
</fA61>
<fA64 i1="01" i2="2"><s0>Text & talk</s0>
</fA64>
<fA66 i1="01"><s0>DEU</s0>
</fA66>
<fA99><s0>7 notes</s0>
</fA99>
<fC01 i1="01" l="ENG"><s0>Discourse analysis or conversation analysis approaches audio or video data by way of transcription. It takes sentence or utterance as its point of departure, from which it moves up to discourse or conversation, or down to parts of a sentence or utterance. The present study departs from this mainstream paradigm by outlining and demonstrating a corpus linguistic approach to multimodal text analysis that starts from the analytic unit of social situation, to that of activity type, task/episode, and the participants' behavior of talking and doing. The primary data consists of video streams with synchronized sounds rather than orthographic transcripts. The segmentation and annotation of nondiscrete streams of a multimodal text are demonstrated in accordance with the latest Text Encoding Initiative (TEI P4).</s0>
</fC01>
<fC02 i1="01" i2="L"><s0>52456</s0>
<s1>XI</s1>
</fC02>
<fC02 i1="02" i2="L"><s0>524</s0>
</fC02>
<fC03 i1="01" i2="L" l="FRE"><s0>Pragmatique</s0>
<s2>NI</s2>
<s5>01</s5>
</fC03>
<fC03 i1="01" i2="L" l="ENG"><s0>Pragmatics</s0>
<s2>NI</s2>
<s5>01</s5>
</fC03>
<fC03 i1="02" i2="L" l="FRE"><s0>Analyse du discours</s0>
<s2>NI</s2>
<s5>02</s5>
</fC03>
<fC03 i1="02" i2="L" l="ENG"><s0>Discourse analysis</s0>
<s2>NI</s2>
<s5>02</s5>
</fC03>
<fC03 i1="03" i2="L" l="FRE"><s0>Analyse conversationnelle</s0>
<s2>NI</s2>
<s5>03</s5>
</fC03>
<fC03 i1="03" i2="L" l="ENG"><s0>Conversation analysis</s0>
<s2>NI</s2>
<s5>03</s5>
</fC03>
<fC03 i1="04" i2="L" l="FRE"><s0>Linguistique de corpus</s0>
<s2>NI</s2>
<s5>04</s5>
</fC03>
<fC03 i1="04" i2="L" l="ENG"><s0>Corpus linguistics</s0>
<s2>NI</s2>
<s5>04</s5>
</fC03>
<fN21><s1>203</s1>
</fN21>
</pA>
</standard>
<server><NO>FRANCIS 08-0322230 INIST</NO>
<ET>Multimodal text analysis : A corpus linguistic approach to situated discourse</ET>
<AU>YUEGUO GU</AU>
<AF>Institute of Linguistics, The Chinese Academy of Social Sciences/Beijing 100732/Chine (1 aut.)</AF>
<DT>Publication en série; Niveau analytique</DT>
<SO>Text & talk; ISSN 1860-7330; Allemagne; Da. 2006; Vol. 26; No. 2; Pp. 127-167; Bibl. 2 p.3/4</SO>
<LA>Anglais</LA>
<EA>Discourse analysis or conversation analysis approaches audio or video data by way of transcription. It takes sentence or utterance as its point of departure, from which it moves up to discourse or conversation, or down to parts of a sentence or utterance. The present study departs from this mainstream paradigm by outlining and demonstrating a corpus linguistic approach to multimodal text analysis that starts from the analytic unit of social situation, to that of activity type, task/episode, and the participants' behavior of talking and doing. The primary data consists of video streams with synchronized sounds rather than orthographic transcripts. The segmentation and annotation of nondiscrete streams of a multimodal text are demonstrated in accordance with the latest Text Encoding Initiative (TEI P4).</EA>
<CC>52456; 524</CC>
<FD>Pragmatique; Analyse du discours; Analyse conversationnelle; Linguistique de corpus</FD>
<ED>Pragmatics; Discourse analysis; Conversation analysis; Corpus linguistics</ED>
<LO>INIST-24868.354000132952420010</LO>
<ID>08-0322230</ID>
</server>
</inist>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Wicri/Ticri/explor/TeiVM2/Data/PascalFrancis/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000032 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/PascalFrancis/Corpus/biblio.hfd -nk 000032 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Wicri/Ticri |area= TeiVM2 |flux= PascalFrancis |étape= Corpus |type= RBID |clé= Francis:08-0322230 |texte= Multimodal text analysis : A corpus linguistic approach to situated discourse }}
![]() | This area was generated with Dilib version V0.6.31. | ![]() |