Rewriting Chinese Educational Materials to Change Readability Levels with Large Language Models: Strategies and Challenges
Hojin Koh, Wan-Jun Gu, Hou-Chiang Tseng, Kuan-Yu Chen, Yao-Ting Sung
- Anthology ID:
- 2024.rocling-1.1
- Volume:
- Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024)
- Month:
- November
- Year:
- 2024
- Address:
- Taipei City, Taiwan
- Editors:
- Shu-Chuan Tseng, Yu Tsao, Hen-Hsen Huang, Yao-Chung Fan, Chia-Hui Chang
- Venue:
- ROCLING
- SIG:
- Publisher:
- The Association for Computational Linguistics and Chinese Language Processing (ACLCLP)
- Note:
- Pages:
- 1–10
- Language:
- URL:
- https://preview.aclanthology.org/issues-pwc/2024.rocling-1.1/
- DOI:
- Cite (ACL):
- Hojin Koh, Wan-Jun Gu, Hou-Chiang Tseng, Kuan-Yu Chen, and Yao-Ting Sung. 2024. Rewriting Chinese Educational Materials to Change Readability Levels with Large Language Models: Strategies and Challenges. In Proceedings of the 36th Conference on Computational Linguistics and Speech Processing (ROCLING 2024), pages 1–10, Taipei City, Taiwan. The Association for Computational Linguistics and Chinese Language Processing (ACLCLP).
- Cite (Informal):
- Rewriting Chinese Educational Materials to Change Readability Levels with Large Language Models: Strategies and Challenges (Koh et al., ROCLING 2024)
- PDF:
- https://preview.aclanthology.org/issues-pwc/2024.rocling-1.1.pdf