Abstract
Euphemisms are a form of figurative language relatively understudied in natural language processing. This research extends the current computational work on potentially euphemistic terms (PETs) to Turkish. We introduce the Turkish PET dataset, the first available of its kind in the field. By creating a list of euphemisms in Turkish, collecting example contexts, and annotating them, we provide both euphemistic and non-euphemistic examples of PETs in Turkish. We describe the dataset and methodologies, and also experiment with transformer-based models on Turkish euphemism detection by using our dataset for binary classification. We compare performances across models using F1, accuracy, and precision as evaluation metrics.- Anthology ID:
- 2024.sigturk-1.7
- Volume:
- Proceedings of the First Workshop on Natural Language Processing for Turkic Languages (SIGTURK 2024)
- Month:
- August
- Year:
- 2024
- Address:
- Bangkok, Thailand and Online
- Editors:
- Duygu Ataman, Mehmet Oguz Derin, Sardana Ivanova, Abdullatif Köksal, Jonne Sälevä, Deniz Zeyrek
- Venues:
- SIGTURK | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 71–80
- Language:
- URL:
- https://aclanthology.org/2024.sigturk-1.7
- DOI:
- Cite (ACL):
- Hasan Biyik, Patrick Lee, and Anna Feldman. 2024. Turkish Delights: a Dataset on Turkish Euphemisms. In Proceedings of the First Workshop on Natural Language Processing for Turkic Languages (SIGTURK 2024), pages 71–80, Bangkok, Thailand and Online. Association for Computational Linguistics.
- Cite (Informal):
- Turkish Delights: a Dataset on Turkish Euphemisms (Biyik et al., SIGTURK-WS 2024)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-4/2024.sigturk-1.7.pdf