Construction Repetition Reduces Information Rate in Dialogue

Mario Giulianelli, Arabella Sinclair, Raquel Fernández

Research output: Chapter in Book/Report/Conference proceedingPublished conference contribution

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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.
Original languageEnglish
Title of host publicationProceedings of 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 1: Long Papers)
PublisherAssociation for Computational Linguistics (ACL)
Pages665-682
Number of pages18
ISBN (Electronic)978-1-955917-65-0
DOIs
Publication statusPublished - 23 Nov 2022
EventAACL-IJCNLP 2022 - Online Event
Duration: 20 Nov 202223 Nov 2022
https://aaclweb.org/

Conference

ConferenceAACL-IJCNLP 2022
Abbreviated titleAACL-IJCNLP 2022
Period20/11/2223/11/22
Internet address

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