Addressing the Rare Word Problem in Neural Machine Translation

@inproceedings{Luong2015AddressingTR,
  title={Addressing the Rare Word Problem in Neural Machine Translation},
  author={Thang Luong and Ilya Sutskever and Quoc V. Le and Oriol Vinyals and Wojciech Zaremba},
  booktitle={ACL},
  year={2015}
}
Neural Machine Translation (NMT) has recently attracted a l ot of attention due to the very high performance achieved by deep neural network s in other domains. An inherent weakness in existing NMT systems is their inabil ity to correctly translate rare words: end-to-end NMTs tend to have relatively sma ll vocabularies with a single “unknown-word” symbol representing every possibl e out-of-vocabulary (OOV) word. In this paper, we propose and implement a simple t echnique to address this problem… CONTINUE READING
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