Abstract
Although the proper use of idioms can enhance the elegance of writing, the active use of various expressions is a challenge because remembering idioms is difficult. In this study, we address the problem of idiom recommendation by leveraging a neural machine translation framework, in which we suppose that idioms are written with one pseudo target language. Two types of real-life datasets are collected to support this study. Experimental results show that the proposed approach achieves promising performance compared with other baseline methods.- Anthology ID:
- P19-1552
- Volume:
- Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics
- Month:
- July
- Year:
- 2019
- Address:
- Florence, Italy
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 5522–5526
- Language:
- URL:
- https://aclanthology.org/P19-1552
- DOI:
- 10.18653/v1/P19-1552
- Cite (ACL):
- Yuanchao Liu, Bo Pang, and Bingquan Liu. 2019. Neural-based Chinese Idiom Recommendation for Enhancing Elegance in Essay Writing. In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics, pages 5522–5526, Florence, Italy. Association for Computational Linguistics.
- Cite (Informal):
- Neural-based Chinese Idiom Recommendation for Enhancing Elegance in Essay Writing (Liu et al., ACL 2019)
- PDF:
- https://preview.aclanthology.org/ingestion-script-update/P19-1552.pdf