Transformer-Based Unified Neural Network for Quality Estimation and Transformer-Based Re-decoding Model for Machine Translation

Author:

Chen Cong,Zong Qinqin,Luo Qi,Qiu Bailian,Li Maoxi

Publisher

Springer Singapore

Reference11 articles.

1. Chen, Z., et al.: Improving machine translation quality estimation with neural network features. In: Proceedings of the WMT, pp. 551–555 (2017)

2. Devlin, J., Chang, M.W., Lee, K., Toutanova, K.: Bert: pre-training of deep bidirectional transformers for language understanding. In: Proceedings of the NAACL, pp. 4171–4186 (2018)

3. Guo, X., et al.: Kingsoft’s neural machine translation system for wmt19. In: Proceeding of the ACL, pp. 196–202 (2019)

4. Li, M., Xiang, Q., Chen, Z., Wang, M.: A unified neural network for quality estimation of machine translation. IEICE Trans. Inf. Syst. 101(9), 2417–2421 (2018)

5. Ott, M., et al.: Fairseq: a fast, extensible toolkit for sequence modeling. In: Proceedings of the NAACL, pp. 48–53 (2019)

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