Document Type
Conference Proceeding
Publication Date
1-1-2024
Journal / Book Title
Sigturk 2024 1st Workshop on Natural Language Processing for Turkic Languages Proceedings of the Workshop
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.
Journal ISSN / Book ISBN
85204675479 (Scopus)
Montclair State University Digital Commons Citation
Biyik, Hasan Can; Lee, Patrick; and Feldman, Anna, "Turkish Delights: a Dataset on Turkish Euphemisms" (2024). School of Computing Faculty Scholarship and Creative Works. 7.
https://digitalcommons.montclair.edu/computing-facpubs/7