Web: http://arxiv.org/abs/2010.05997

Jan. 31, 2022, 2:11 a.m. | Xing Jie Zhong, David Chiang

cs.LG updates on arXiv.org arxiv.org

Despite advances in neural machine translation (NMT) quality, rare words
continue to be problematic. For humans, the solution to the rare-word problem
has long been dictionaries, but dictionaries cannot be straightforwardly
incorporated into NMT. In this paper, we describe a new method for "attaching"
dictionary definitions to rare words so that the network can learn the best way
to use them. We demonstrate improvements of up to 1.8 BLEU using bilingual

arxiv machine machine translation neural neural machine translation translation

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