1. Koehn P (2010) Statistical machine translation. 1st edition. Cambridge University Press, Berlin
2. Bahdanau D, Cho K and Bengio Y 2015 Neural machine translation by jointly learning to align and translate. In: Bengio Y and LeCun Y (eds) 3rd International Conference on Learning Representations, ICLR 2015, May 7-9, 2015, Conference Track Proceedings, pp. 1–15, San Diego, CA, USA, 2015. arXiv
3. Luong T, Pham H Manning C D 2015 Effective approaches to attention-based neural machine translation. In: Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing, pp. 1412–1421, Lisbon, Portugal, September 2015. Association for Computational Linguistics
4. Gu J, Hassan H, Devlin J and Li V O K 2018 Universal neural machine translation for extremely low resource languages. In: Walker MA, Ji H and Stent A (eds) Proceedings of the 2018 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, NAACL-HLT USA, June 1–6, 2018, Volume 1 (Long Papers), pp. 344–354, New Orleans, Louisiana, 2018. Association for Computational Linguistics
5. Pathak A, Pakray P and Bentham J 2018 English–mizo machine translation using neural and statistical approaches. Neural Comput Appl, 30:1–17