Abstract
Simultaneous machine translation (SiMT) outputs translation while reading source sentence and hence requires a policy to decide whether to wait for the next source word (READ) or generate a target word (WRITE), the actions of which form a read/write path. Although the read/write path is essential to SiMT performance, no direct supervision is given to the path in the existing methods. In this paper, we propose a method of dual-path SiMT which introduces duality constraints to direct the read/write path. According to duality constraints, the read/write path in source-to-target and target-to-source SiMT models can be mapped to each other. As a result, the two SiMT models can be optimized jointly by forcing their read/write paths to satisfy the mapping. Experiments on En-Vi and De-En tasks show that our method can outperform strong baselines under all latency.- Anthology ID:
- 2022.acl-long.176
- Volume:
- Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)
- Month:
- May
- Year:
- 2022
- Address:
- Dublin, Ireland
- Venue:
- ACL
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 2461–2477
- Language:
- URL:
- https://aclanthology.org/2022.acl-long.176
- DOI:
- 10.18653/v1/2022.acl-long.176
- Cite (ACL):
- Shaolei Zhang and Yang Feng. 2022. Modeling Dual Read/Write Paths for Simultaneous Machine Translation. In Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers), pages 2461–2477, Dublin, Ireland. Association for Computational Linguistics.
- Cite (Informal):
- Modeling Dual Read/Write Paths for Simultaneous Machine Translation (Zhang & Feng, ACL 2022)
- PDF:
- https://preview.aclanthology.org/starsem-semeval-split/2022.acl-long.176.pdf
- Code
- ictnlp/dual-paths