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Multi-Source Neural Translation

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62
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Abstract

We build a multi-source machine translation model and train it to maximize the probability of a target English string given French and German sources. Using the neural encoderdecoder framework, we explore several combination methods and report up to +4.8 Bleu increases on top of a very strong attentionbased neural translation model.

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Publication details

DOI
10.18653/v1/n16-1004
OpenAlex
W2222949842
Document type
conference-paper
Language
EN
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