conference-paper
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Multi-Source Neural Translation
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- Citations
- 62
- References
- 20
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- 0
Paper overview
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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