CUNI Basque-to-English Submission in IWSLT18

Tom Kocmi, Dušan Variš, Ondřej Bojar


Abstract
We present our submission to the IWSLT18 Low Resource task focused on the translation from Basque-to-English. Our submission is based on the current state-of-the-art self-attentive neural network architecture, Transformer. We further improve this strong baseline by exploiting available monolingual data using the back-translation technique. We also present further improvements gained by a transfer learning, a technique that trains a model using a high-resource language pair (Czech-English) and then fine-tunes the model using the target low-resource language pair (Basque-English).
Anthology ID:
2018.iwslt-1.21
Volume:
Proceedings of the 15th International Conference on Spoken Language Translation
Month:
October 29-30
Year:
2018
Address:
Brussels
Venue:
IWSLT
SIG:
SIGSLT
Publisher:
International Conference on Spoken Language Translation
Note:
Pages:
142–146
Language:
URL:
https://aclanthology.org/2018.iwslt-1.21
DOI:
Bibkey:
Cite (ACL):
Tom Kocmi, Dušan Variš, and Ondřej Bojar. 2018. CUNI Basque-to-English Submission in IWSLT18. In Proceedings of the 15th International Conference on Spoken Language Translation, pages 142–146, Brussels. International Conference on Spoken Language Translation.
Cite (Informal):
CUNI Basque-to-English Submission in IWSLT18 (Kocmi et al., IWSLT 2018)
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PDF:
https://aclanthology.org/2018.iwslt-1.21.pdf