Abstract
Code-switching, or switching between languages, occurs for many reasons and has important linguistic, sociological, and cultural implications. Multilingual speakers code-switch for a variety of communicative functions, such as expressing emotions, borrowing terms, making jokes, introducing a new topic, etc. The function of code-switching may be quite useful for the analysis of linguists, cognitive scientists, speech therapists, and others, but is not readily apparent. To remedy this situation, we annotate and release a new dataset of functions of code-switching in Spanish-English. We build the first system (to our knowledge) to automatically identify a wide range of functions for which speakers code-switch in everyday speech, achieving an accuracy of 75% across all functions.- Anthology ID:
- 2023.findings-acl.469
- Volume:
- Findings of the Association for Computational Linguistics: ACL 2023
- Month:
- July
- Year:
- 2023
- Address:
- Toronto, Canada
- Editors:
- Anna Rogers, Jordan Boyd-Graber, Naoaki Okazaki
- Venue:
- Findings
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 7438–7448
- Language:
- URL:
- https://aclanthology.org/2023.findings-acl.469
- DOI:
- 10.18653/v1/2023.findings-acl.469
- Cite (ACL):
- Ritu Belani and Jeffrey Flanigan. 2023. Automatic Identification of Code-Switching Functions in Speech Transcripts. In Findings of the Association for Computational Linguistics: ACL 2023, pages 7438–7448, Toronto, Canada. Association for Computational Linguistics.
- Cite (Informal):
- Automatic Identification of Code-Switching Functions in Speech Transcripts (Belani & Flanigan, Findings 2023)
- PDF:
- https://preview.aclanthology.org/improve-issue-templates/2023.findings-acl.469.pdf