Finding Better Subword Segmentation for Neural Machine Translation

Author:

Wu Yingting,Zhao Hai

Publisher

Springer International Publishing

Reference26 articles.

1. Ataman, D., Federico, M.: Compositional representation of morphologically-rich input for neural machine translation. arXiv preprint arXiv:1805.02036 (2018)

2. Ataman, D., Negri, M., Turchi, M., Federico, M.: Linguistically motivated vocabulary reduction for neural machine translation from Turkish to English. Prague Bull. Math. Linguist. 108(1), 331–342 (2017)

3. Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. In: Proceedings of 3rd International Conference on Learning Representations (2015)

4. Bojar, O., et al.: Findings of the 2017 conference on machine translation. In: Proceedings of the 2nd Conference on Machine Translation, vol. 2: Shared Task Papers, pp. 169–214 (2017)

5. Botha, J., Blunsom, P.: Compositional morphology for word representations and language modelling. In: International Conference on Machine Learning, pp. 1899–1907 (2014)

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