2018.iwslt-1.21@ACL

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#1 CUNI Basque-to-English Submission in IWSLT18 [PDF] [Copy] [Kimi1]

Authors: Tom Kocmi ; Dušan Variš ; Ondřej Bojar

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).