Joint Translation and Unit Conversion for End-to-end Localization
Georgiana Dinu, Prashant Mathur, Marcello Federico, Stanislas Lauly, Yaser Al-Onaizan
Abstract
A variety of natural language tasks require processing of textual data which contains a mix of natural language and formal languages such as mathematical expressions. In this paper, we take unit conversions as an example and propose a data augmentation technique which lead to models learning both translation and conversion tasks as well as how to adequately switch between them for end-to-end localization.- Anthology ID:
- 2020.iwslt-1.32
- Volume:
- Proceedings of the 17th International Conference on Spoken Language Translation
- Month:
- July
- Year:
- 2020
- Address:
- Online
- Venues:
- ACL | IWSLT | WS
- SIG:
- Publisher:
- Association for Computational Linguistics
- Note:
- Pages:
- 265–271
- URL:
- https://www.aclweb.org/anthology/2020.iwslt-1.32
- DOI:
- PDF:
- https://www.aclweb.org/anthology/2020.iwslt-1.32.pdf
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