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image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Language Sciencesarrow_drop_down
image/svg+xml Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao Closed Access logo, derived from PLoS Open Access logo. This version with transparent background. http://commons.wikimedia.org/wiki/File:Closed_Access_logo_transparent.svg Jakob Voss, based on art designer at PLoS, modified by Wikipedia users Nina and Beao
Language Sciences
Article . 2011 . Peer-reviewed
License: Elsevier TDM
Data sources: Crossref
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Lexical cohesion in multiparty conversations

Authors: María de los Ángeles Gómez González;

Lexical cohesion in multiparty conversations

Abstract

Abstract Ever since the publication of Halliday and Hasan’s (1976) seminal work on cohesion, many scholars have sought to explain different aspects of this textual relation in discourse. The purpose of this paper is twofold: first, to add to the study of the interaction between lexical cohesion and coherence ( Hellman, 1995 , Hoey, 1991b , Sanders and Pander Maat, 2006 ); and second, to contribute to the exploration of lexical cohesion as a measure in generic and register analysis ( Louwerse et al., 2004 , Taboada, 2004 , Tanskanen, 2006 , Thompson, 1994 ). I present an integrated model of lexical cohesion which challenges existing proposals affording particular attention to what I call ‘associative cohesion’. Using both quantitative and qualitative methods, the adequacy of this model is tested against a 15,683 word-corpus of broadcast discussions extracted from the International Corpus of English. The analysis of 11,199 lexical ties reports repetition (59%) as the most frequent lexical cohesion device, followed by associative cohesion (24%) and inclusive relations (8.2%), which are mostly produced in remote-mediated ties (81.8%) over speakers’ turns (90.7%). These are shown to be sensitive to genre-specific factors and to collaborate in topic management processes, thereby demonstrating the descriptive potential and applicability of the framework.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
4
Average
Average
Average
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