Is Neural Machine Translation Ready for Deployment? A Case Study on 30 Translation Directions

arXiv: Computation and Language, Volume abs/1610.01108, 2016, Pages 4

Cited by: 127|Views46
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Abstract:

In this paper we provide the largest published comparison of translation quality for phrase-based SMT and neural machine translation across 30 translation directions. For ten directions we also include hierarchical phrase-based MT. Experiments are performed for the recently published United Nations Parallel Corpus v1.0 and its large six-w...More

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