Touch Editing: A Flexible One-Time Interaction Approach for Translation

Qian Wang, Jiajun Zhang, Lemao Liu, Guoping Huang, Chengqing Zong


Abstract
We propose a touch-based editing method for translation, which is more flexible than traditional keyboard-mouse-based translation postediting. This approach relies on touch actions that users perform to indicate translation errors. We present a dual-encoder model to handle the actions and generate refined translations. To mimic the user feedback, we adopt the TER algorithm comparing between draft translations and references to automatically extract the simulated actions for training data construction. Experiments on translation datasets with simulated editing actions show that our method significantly improves original translation of Transformer (up to 25.31 BLEU) and outperforms existing interactive translation methods (up to 16.64 BLEU). We also conduct experiments on post-editing dataset to further prove the robustness and effectiveness of our method.
Anthology ID:
2020.aacl-main.1
Volume:
Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing
Month:
December
Year:
2020
Address:
Suzhou, China
Venue:
AACL
SIG:
Publisher:
Association for Computational Linguistics
Note:
Pages:
1–11
Language:
URL:
https://aclanthology.org/2020.aacl-main.1
DOI:
Bibkey:
Cite (ACL):
Qian Wang, Jiajun Zhang, Lemao Liu, Guoping Huang, and Chengqing Zong. 2020. Touch Editing: A Flexible One-Time Interaction Approach for Translation. In Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing, pages 1–11, Suzhou, China. Association for Computational Linguistics.
Cite (Informal):
Touch Editing: A Flexible One-Time Interaction Approach for Translation (Wang et al., AACL 2020)
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PDF:
https://preview.aclanthology.org/auto-file-uploads/2020.aacl-main.1.pdf
Data
WMT 2014WMT 2016