Is Structure Dependence Shaped for Efficient Communication?: A Case Study on Coordination

Kohei Kajikawa, Yusuke Kubota, Yohei Oseki


Abstract
Natural language exhibits various universal properties.But why do these universals exist?One explanation is that they arise from functional pressures to achieve efficient communication, a view which attributes cross-linguistic properties to domain-general cognitive abilities.This hypothesis has successfully addressed some syntactic universal properties such as compositionality and Greenbergian word order universals.However, more abstract syntactic universals have not been explored from the perspective of efficient communication.Among such universals, the most notable one is structure dependence, that is, grammar-internal operations crucially depend on hierarchical representations.This property has traditionally been taken to be central to natural language and to involve domain-specific knowledge irreducible to communicative efficiency. In this paper, we challenge the conventional view by investigating whether structure dependence realizes efficient communication, focusing on coordinate structures.We design three types of artificial languages: (i) one with a structure-dependent reduction operation, which is similar to natural language, (ii) one without any reduction operations, and (iii) one with a linear (rather than structure-dependent) reduction operation.We quantify the communicative efficiency of these languages.The results demonstrate that the language with the structure-dependent reduction operation is significantly more communicatively efficient than the counterfactual languages.This suggests that the existence of structure-dependent properties can be explained from the perspective of efficient communication.
Anthology ID:
2024.conll-1.23
Volume:
Proceedings of the 28th Conference on Computational Natural Language Learning
Month:
November
Year:
2024
Address:
Miami, FL, USA
Editors:
Libby Barak, Malihe Alikhani
Venue:
CoNLL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
291–302
Language:
URL:
https://aclanthology.org/2024.conll-1.23
DOI:
Bibkey:
Cite (ACL):
Kohei Kajikawa, Yusuke Kubota, and Yohei Oseki. 2024. Is Structure Dependence Shaped for Efficient Communication?: A Case Study on Coordination. In Proceedings of the 28th Conference on Computational Natural Language Learning, pages 291–302, Miami, FL, USA. Association for Computational Linguistics.
Cite (Informal):
Is Structure Dependence Shaped for Efficient Communication?: A Case Study on Coordination (Kajikawa et al., CoNLL 2024)
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PDF:
https://aclanthology.org/2024.conll-1.23.pdf