Papers with LNMT
Towards Accurate Translation via Semantically Appropriate Application of Lexical Constraints (2023.findings-acl)
Copied to clipboard
| Challenge: | Existing work has not evaluated LNMT models under challenging real-world conditions. |
| Approach: | They propose a homograph disambiguation module and a model that integrates contextually rich information about unseen lexical constraints from pre-trained language models. |
| Outcome: | The proposed model can cope with “homographs” and “unseen” lexical constraints. |