Construction Repetition Reduces Information Rate in Dialogue

516

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nan

Abstract

AbstractSpeakers 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.

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nan

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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), pages 665–682 November 20–23, 2022. ©2022 Association for Computational Linguistics 665 Construction Repetition Reduces Information Rate in Dialogue Mario Giulianelli Institute for Logic, Language and Computation University of Amsterdam m.giulianelli@uva.nl Arabella Sinclair Department of Computing Science University of Aberdeen arabella.sinclair@abdn.ac.uk Raquel Fernández Institute for Logic, Language and Computation University of Amsterdam raquel.fernandez@uva.nl 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 communica- tion. 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 utter- ance information content over the course of a dialogue. We conduct a quantitative analysis, measuring the information content of construc- tions and that of their containing utterances, estimating information content with an adap- tive neural language model. We observe that construction usage lowers the information con- tent of utterances. This facilitating effect (i) in- creases 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. 1 Introduction The repeated use of particular configurations of structures and lexemes, constructions, is pervasive in conversational language use (Tomasello, 2003; Goldberg, 2006). Such repetition can be under- stood as a surface level signal of processes of co- ordination (Sinclair and Fernández, 2021) or ‘in- terpersonal synergy’ between conversational part- ners (Fusaroli et al., 2014). Speakers may use rep- etitions to successfully maintain common ground with their interlocutors (Brennan and Clark, 1996; Pickering and Garrod, 2004), because they are primed by their recent linguistic experience (Bock, 1986), or to avoid a costly on-the-fly search for alternative phrasings (see, e.g., Kuiper, 1995). At the same time, repetitions are also advantageous for comprehenders. Repeating a sequence of words positively reshapes expectations for those words, allowing comprehenders to process them more rapidly (for a review, see Bigand et al., 2005). As speakers are known to take into consideration both their own production cost and their addressee’s processing effort (Clark and Wilkes-Gibbs, 1986; Clark and Schaefer, 1989; Frank and Goodman, 2012), its two-sided processing advantage, as de- scribed above, makes construction repetition an efficient, cost-reducing communication strategy. In this paper, we investigate whether and how these information-theoretic properties of repeti- tions shape patterns of information rate in open- domain spoken dialogue. Information theory is the study of the conditions affecting the transmission and processing of infor- mation. To the foundations of the field belongs the noisy-channel coding theorem (Shannon, 1948), which states that for any given degree of noise in a communication channel, it is possible to communicate discrete signals nearly error-free up to a maximum information rate, the channel capacity. If speakers use the communication channel optimally, they …

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Labeled Text

AbstractSpeakers 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.

Publication Details

Paper ID:
516
Year:
2022
Publication:
TIPSTER
Publication Type:
conf
DOI:
nan