Construction Repetition Reduces Information Rate in Dialogue

Open Access
Authors
Publication date 2022
Host editors
  • Y. He
  • H. Ji
  • S. Li
  • Y. Liu
  • C.-H. Chang
Book title The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing
Book subtitle proceedings of the conference : AACL-IJCNLP 2022 : November 20-23, 2022
ISBN (electronic)
  • 9781955917650
Event The 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing
Volume | Issue number 1
Pages (from-to) 665-682
Publisher Stroudsburg, PA: The Association for Computational Linguistics
Organisations
  • Interfacultary Research - Institute for Logic, Language and Computation (ILLC)
Abstract
Speakers repeat constructions frequently in dialogue. Due to their peculiar information-theoretic properties, repetitions can be thought of as a strategy for cost-effective communication. In this study, we focus on the repetition of lexicalised constructions—i.e., recurring multi-word units—in English open-domain spoken dialogues. We hypothesise that speakers use construction repetition to mitigate information rate, leading to an overall decrease in utterance information content over the course of a dialogue. We conduct a quantitative analysis, measuring the information content of constructions and that of their containing utterances, estimating information content with an adaptive neural language model. We observe that construction usage lowers the information content of utterances. This facilitating effect (i) increases throughout dialogues, (ii) is boosted by repetition, (iii) grows as a function of repetition frequency and density, and (iv) is stronger for repetitions of referential constructions.
Document type Conference contribution
Note With software
Language English
Published at https://aclanthology.org/2022.aacl-main.51
Downloads
2022.aacl-main.51 (Final published version)
Supplementary materials
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