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 language | English |
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Title of host publication | Proceedings 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) |
Publisher | Association for Computational Linguistics (ACL) |
Pages | 665-682 |
Number of pages | 18 |
ISBN (Electronic) | 978-1-955917-65-0 |
DOIs | |
Publication status | Published - 23 Nov 2022 |
Event | AACL-IJCNLP 2022 - Online Event Duration: 20 Nov 2022 → 23 Nov 2022 https://aaclweb.org/ |
Conference
Conference | AACL-IJCNLP 2022 |
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Abbreviated title | AACL-IJCNLP 2022 |
Period | 20/11/22 → 23/11/22 |
Internet address |