Conference Publication Details
Mandatory Fields
Ojha, Atul Kr.; Malykh, Valentin; Karakanta, Alina and Liu, Chao-Hong
Proceedings of the 3rd Workshop on Technologies for MT of Low Resource Languages
Findings of the LoResMT 2020 Shared Task on Zero-Shot for Low-Resource languages
2020
December
Published
1
()
Optional Fields
Zero-shot MT
33
37
Suzhou, China
04-DEC-20
04-DEC-20
This paper presents the findings of the LoResMT 2020 Shared Task on zero-shot translation for low resource languages. This task was organised as part of the 3rd Workshop on Technologies for MT of Low Resource Languages (LoResMT) at AACL-IJCNLP 2020. The focus was on the zero-shot approach as a notable development in Neural Machine Translation to build MT systems for language pairs where parallel corpora are small or even non-existent. The shared task experience suggests that back-translation and domain adaptation methods result in better accuracy for small-size datasets. We further noted that, although translation between similar languages is no cakewalk, linguistically distinct languages require more data to give better results.
EU H2020 programme under grant agreements 731015 (ELEXIS-European Lexical Infrastructure).
https://www.aclweb.org/anthology/2020.loresmt-1.4
Grant Details
EU, NUI Galway, Science Foundation Ireland (SFI)
Publication Themes
Informatics, Physical and Computational Sciences