Abstract
After many successful experiments it has become evident that smart pre- and post-processing can significantly improve the output of neural machine translation. Therefore, various generic and language-specific processes are applied to the training corpus, the user input and the MT output for STAR MT Translate.- Anthology ID:
- 2018.eamt-main.51
- Volume:
- Proceedings of the 21st Annual Conference of the European Association for Machine Translation
- Month:
- May
- Year:
- 2018
- Address:
- Alicante, Spain
- Editors:
- Juan Antonio Pérez-Ortiz, Felipe Sánchez-Martínez, Miquel Esplà-Gomis, Maja Popović, Celia Rico, André Martins, Joachim Van den Bogaert, Mikel L. Forcada
- Venue:
- EAMT
- SIG:
- Publisher:
- Note:
- Pages:
- 375
- Language:
- URL:
- https://aclanthology.org/2018.eamt-main.51
- DOI:
- Cite (ACL):
- Judith Klein. 2018. Smart Pre- and Post-Processing for STAR MT Translate. In Proceedings of the 21st Annual Conference of the European Association for Machine Translation, page 375, Alicante, Spain.
- Cite (Informal):
- Smart Pre- and Post-Processing for STAR MT Translate (Klein, EAMT 2018)
- PDF:
- https://preview.aclanthology.org/nschneid-patch-2/2018.eamt-main.51.pdf