Abstract
Code-switching (usage of different languages within a single conversation context in an alternative manner) is a highly increasing phenomenon in social media and colloquial usage which poses different challenges for natural language processing. This paper introduces the first study for the detection of Turkish-English code-switching and also a small test data collected from social media in order to smooth the way for further studies. The proposed system using character level n-grams and conditional random fields (CRFs) obtains 95.6% micro-averaged F1-score on the introduced test data set.- Anthology ID:
- W18-6115
- Volume:
- Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text
- Month:
- November
- Year:
- 2018
- Address:
- Brussels, Belgium
- Editors:
- Wei Xu, Alan Ritter, Tim Baldwin, Afshin Rahimi
- Venue:
- WNUT
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 110–115
- Language:
- URL:
- https://aclanthology.org/W18-6115
- DOI:
- 10.18653/v1/W18-6115
- Cite (ACL):
- Zeynep Yirmibeşoğlu and Gülşen Eryiğit. 2018. Detecting Code-Switching between Turkish-English Language Pair. In Proceedings of the 2018 EMNLP Workshop W-NUT: The 4th Workshop on Noisy User-generated Text, pages 110–115, Brussels, Belgium. Association for Computational Linguistics.
- Cite (Informal):
- Detecting Code-Switching between Turkish-English Language Pair (Yirmibeşoğlu & Eryiğit, WNUT 2018)
- PDF:
- https://preview.aclanthology.org/ingest-acl-2023-videos/W18-6115.pdf