Keeping LLMs from Being Distracted: Grade-Aware Kanji Reading Estimation Fully Executable in Web Browsers for Japanese Education

Yo Ehara


Anthology ID:
2025.paclic-1.44
Volume:
Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation
Month:
December
Year:
2025
Address:
Hanoi, Vietnam
Editors:
Chu-Ren Huang, Yasunari Harada, Jong-Bok Kim, Nguyen T.M. Huyen, Le Thanh Huong, Pham Hien, Emmanuele Chersoni, Le Minh Nguyen, Rachel Edita Oñate Roxas, Sherly Dita
Venue:
PACLIC
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
480–489
Language:
URL:
https://preview.aclanthology.org/ingest-eacl/2025.paclic-1.44/
DOI:
Bibkey:
Cite (ACL):
Yo Ehara. 2025. Keeping LLMs from Being Distracted: Grade-Aware Kanji Reading Estimation Fully Executable in Web Browsers for Japanese Education. In Proceedings of the 39th Pacific Asia Conference on Language, Information and Computation, pages 480–489, Hanoi, Vietnam. Association for Computational Linguistics.
Cite (Informal):
Keeping LLMs from Being Distracted: Grade-Aware Kanji Reading Estimation Fully Executable in Web Browsers for Japanese Education (Ehara, PACLIC 2025)
Copy Citation:
PDF:
https://preview.aclanthology.org/ingest-eacl/2025.paclic-1.44.pdf