LinggleWrite: a Coaching System for Essay Writing
Chung-Ting Tsai, Jhih-Jie Chen, Ching-Yu Yang, Jason S. Chang
Abstract
This paper presents LinggleWrite, a writing coach that provides writing suggestions, assesses writing proficiency levels, detects grammatical errors, and offers corrective feedback in response to user’s essay. The method involves extracting grammar patterns, training models for automated essay scoring (AES) and grammatical error detection (GED), and finally retrieving plausible corrections from a n-gram search engine. Experiments on public test sets indicate that both AES and GED models achieve state-of-the-art performance. These results show that LinggleWrite is potentially useful in helping learners improve their writing skills.- Anthology ID:
- 2020.acl-demos.17
- Volume:
- Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations
- Month:
- July
- Year:
- 2020
- Address:
- Online
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 127–133
- Language:
- URL:
- https://aclanthology.org/2020.acl-demos.17
- DOI:
- 10.18653/v1/2020.acl-demos.17
- Cite (ACL):
- Chung-Ting Tsai, Jhih-Jie Chen, Ching-Yu Yang, and Jason S. Chang. 2020. LinggleWrite: a Coaching System for Essay Writing. In Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics: System Demonstrations, pages 127–133, Online. Association for Computational Linguistics.
- Cite (Informal):
- LinggleWrite: a Coaching System for Essay Writing (Tsai et al., ACL 2020)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/2020.acl-demos.17.pdf