Construction Repetition Reduces Information Rate in Dialogue
Giulianelli, Mario, Sinclair, Arabella, Fernández, Raquel
–arXiv.org Artificial Intelligence
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.
arXiv.org Artificial Intelligence
Oct-15-2022
- Country:
- North America > United States
- Utah > Salt Lake County
- Salt Lake City (0.04)
- Texas > El Paso County
- El Paso (0.04)
- Colorado > Denver County
- Denver (0.04)
- Utah > Salt Lake County
- Europe
- United Kingdom > England
- Cambridgeshire > Cambridge (0.14)
- Oxfordshire > Oxford (0.04)
- Netherlands > North Holland
- Amsterdam (0.04)
- Germany > Brandenburg
- Potsdam (0.04)
- United Kingdom > England
- North America > United States
- Genre:
- Research Report > New Finding (1.00)