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Linguistic resources such as part-of-speech (POS) tags have been extensively used in statistical machine translation (SMT) frameworks and have yielded better performances.
Long short-term memory
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M. Stanojevic and K. Sima’an. 2014 · 2014
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I. Sutskever, O. Vinyals, and Q. V. Le. 2014 · 2014
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D. Dong, H. Wu, W. He, D. Yu, and H. Wang. 2015 · 2015
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Non-lexical neural architecture for fine-grained pos tagging
Multi-way, multilingual neural machine translation with a shared attention mechanism
O. Firat, K. Cho, and Y. Bengio. 2016a · 2016
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Google’s multilingual neural machine translation system: Enabling zero-shot translation
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Using factored word representation in neural network language models
J. Niehues, T-L Ha, E. Cho, and A. Waibel. 2016 · 2016
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M. Labeau and Allauzen Löser K. 2015 · 2015
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Multi-task sequence to sequence learning
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lamtram: A toolkit for language and translation modeling using neural networks
G. Neubig. 2015 · 2015
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Adaptation and combination of nmt systems: The kit translation systems for iwslt 2016
E. Cho, J. Niehues, T-L Ha, M. Sperber, M. Mediani, and A. Waibel. 2016 · 2016
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Linguistic input features improve neural machine translation
R. Sennrich and B. Haddow. 2016 · 2016
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Neural machine translation of rare words with subword units
R. Sennrich, B. Haddow, and A. Birch. 2016 · 2016
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Character: Translation edit rate on character level
W. Wang, J-T Peter, H. Rosendahl, and H. Ney. 2016 · 2016
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