Sakura: Large-scale Incorrect Example Retrieval System for Learners of Japanese as a Second Language
Abstract
This study develops an incorrect example retrieval system, called Sakura, using a large-scale Lang-8 dataset for Japanese language learners. Existing example retrieval systems do not include grammatically incorrect examples or present only a few examples, if any. If a retrieval system has a wide coverage of incorrect examples along with the correct counterpart, learners can revise their composition themselves. Considering the usability of retrieving incorrect examples, our proposed system uses a large-scale corpus to expand the coverage of incorrect examples and presents correct expressions along with incorrect expressions. Our intrinsic and extrinsic evaluations indicate that our system is more useful than a previous system.- Anthology ID:
- P19-3001
- Volume:
- Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
- Month:
- July
- Year:
- 2019
- Address:
- Florence, Italy
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 1–6
- Language:
- URL:
- https://aclanthology.org/P19-3001
- DOI:
- 10.18653/v1/P19-3001
- Cite (ACL):
- Mio Arai, Tomonori Kodaira, and Mamoru Komachi. 2019. Sakura: Large-scale Incorrect Example Retrieval System for Learners of Japanese as a Second Language. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 1–6, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Sakura: Large-scale Incorrect Example Retrieval System for Learners of Japanese as a Second Language (Arai et al., ACL 2019)
- PDF:
- https://preview.aclanthology.org/auto-file-uploads/P19-3001.pdf