Abstract
This study explores the use of natural language processing techniques to enhance bilingual lexical access beyond simple equivalents, to enable translators to navigate along a wider cross-lingual lexical space and more examples showing different translation strategies, which is essential for them to learn to produce not only faithful but also fluent translations.- Anthology ID:
- W18-3719
- Volume:
- Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications
- Month:
- July
- Year:
- 2018
- Address:
- Melbourne, Australia
- Editors:
- Yuen-Hsien Tseng, Hsin-Hsi Chen, Vincent Ng, Mamoru Komachi
- Venue:
- NLP-TEA
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 130–134
- Language:
- URL:
- https://aclanthology.org/W18-3719
- DOI:
- 10.18653/v1/W18-3719
- Cite (ACL):
- Oi Yee Kwong. 2018. From Fidelity to Fluency: Natural Language Processing for Translator Training. In Proceedings of the 5th Workshop on Natural Language Processing Techniques for Educational Applications, pages 130–134, Melbourne, Australia. Association for Computational Linguistics.
- Cite (Informal):
- From Fidelity to Fluency: Natural Language Processing for Translator Training (Kwong, NLP-TEA 2018)
- PDF:
- https://preview.aclanthology.org/teach-a-man-to-fish/W18-3719.pdf