Abstract
The Uniform Information Density (UID) hypothesis posits that speakers optimize the communicative properties of their utterances by avoiding spikes in information, thereby maintaining a relatively uniform information profile over time. This paper investigates the impact of UID principles on syntactic reduction, specifically focusing on the optional omission of the connector "that" in English subordinate clauses. Building upon previous research, we extend our investigation to a larger corpus of written English, utilize contemporary large language models (LLMs) and extend the information-uniformity principles by the notion of entropy, to estimate the UID manifestations in the use-case of syntactic reduction choices.
| Original language | English |
|---|---|
| Title of host publication | Short Papers |
| Editors | Lun-Wei Ku, Andre F. T. Martins, Vivek Srikumar |
| Publisher | Association for Computational Linguistics (ACL) |
| Pages | 378-385 |
| Number of pages | 8 |
| ISBN (Electronic) | 9798891760950 |
| State | Published - 2024 |
| Externally published | Yes |
| Event | 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 - Bangkok, Thailand Duration: 11 Aug 2024 → 16 Aug 2024 |
Publication series
| Name | Proceedings of the Annual Meeting of the Association for Computational Linguistics |
|---|---|
| Volume | 2 |
| ISSN (Print) | 0736-587X |
Conference
| Conference | 62nd Annual Meeting of the Association for Computational Linguistics, ACL 2024 |
|---|---|
| Country/Territory | Thailand |
| City | Bangkok |
| Period | 11/08/24 → 16/08/24 |
Bibliographical note
Publisher Copyright:© 2024 Association for Computational Linguistics.
ASJC Scopus subject areas
- Computer Science Applications
- Linguistics and Language
- Language and Linguistics