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Multimodal text analysis : A corpus linguistic approach to situated discourse

Identifieur interne : 000032 ( PascalFrancis/Corpus ); précédent : 000031; suivant : 000033

Multimodal text analysis : A corpus linguistic approach to situated discourse

Auteurs : YUEGUO GU

Source :

RBID : Francis:08-0322230

Descripteurs français

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  
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A05       @2 26
A06       @2 2
A08 01  1  ENG  @1 Multimodal text analysis : A corpus linguistic approach to situated discourse
A11 01  1    @1 YUEGUO GU
A14 01      @1 Institute of Linguistics, The Chinese Academy of Social Sciences @2 Beijing 100732 @3 CHN @Z 1 aut.
A20       @1 127-167
A21       @1 2006
A23 01      @0 ENG
A43 01      @1 INIST @2 24868 @5 354000132952420010
A44       @0 0000 @1 © 2008 INIST-CNRS. All rights reserved.
A45       @0 2 p.3/4
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A60       @1 P
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A64 01  2    @0 Text & talk
A66 01      @0 DEU
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C01 01    ENG  @0 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).
C02 01  L    @0 52456 @1 XI
C02 02  L    @0 524
C03 01  L  FRE  @0 Pragmatique @2 NI @5 01
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C03 02  L  FRE  @0 Analyse du discours @2 NI @5 02
C03 02  L  ENG  @0 Discourse analysis @2 NI @5 02
C03 03  L  FRE  @0 Analyse conversationnelle @2 NI @5 03
C03 03  L  ENG  @0 Conversation analysis @2 NI @5 03
C03 04  L  FRE  @0 Linguistique de corpus @2 NI @5 04
C03 04  L  ENG  @0 Corpus linguistics @2 NI @5 04
N21       @1 203

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:08-0322230

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