Convergence of syntactic complexity in conversation

Yang Xu, David Reitter

Research output: Chapter in Book/Report/Conference proceedingConference contribution

5 Scopus citations

Abstract

Using corpus data of spoken dialogue, we examine the convergence of syntactic complexity levels between interlocutors in natural conversations, as it occurs within spans of topic episodes. The findings of general convergence in the Switchboard and BNC corpora are compatible with an information-theoretic model of dialogue and with Interactive Alignment Theory.

Original languageEnglish (US)
Title of host publication54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Short Papers
PublisherAssociation for Computational Linguistics (ACL)
Pages443-448
Number of pages6
ISBN (Electronic)9781510827592
StatePublished - Jan 1 2016
Event54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Berlin, Germany
Duration: Aug 7 2016Aug 12 2016

Publication series

Name54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Short Papers

Other

Other54th Annual Meeting of the Association for Computational Linguistics, ACL 2016
CountryGermany
CityBerlin
Period8/7/168/12/16

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All Science Journal Classification (ASJC) codes

  • Artificial Intelligence
  • Linguistics and Language
  • Software
  • Language and Linguistics

Cite this

Xu, Y., & Reitter, D. (2016). Convergence of syntactic complexity in conversation. In 54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Short Papers (pp. 443-448). (54th Annual Meeting of the Association for Computational Linguistics, ACL 2016 - Short Papers). Association for Computational Linguistics (ACL).