1. Premjith, B., Kumar, M.A., Soman, K.P..: Neural machine translation system for English to Indian language translation using MTIL parallel corpus: special issue on natural language processing. J. Intell. Syst. 28 (2019).
https://doi.org/10.1515/jisys-2019-2510
2. Bahdanau, D., Cho, K., Bengio, Y.: Neural machine translation by jointly learning to align and translate. In: 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7–9, 2015, Conference Track Proceedings (2015)
3. Cho, K., et al.: Learning phrase representations using RNN encoder-decoder for statistical machine translation. In: Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP), pp. 1724–1734. Association for Computational Linguistics, Doha (2014).
https://doi.org/10.3115/v1/D14-1179
4. Das, A., Yerra, P., Kumar, K., Sarkar, S.: A study of attention-based neural machine translation model on Indian languages. In: Proceedings of the 6th Workshop on South and Southeast Asian Natural Language Processing (WSSANLP2016), pp. 163–172. The COLING 2016 Organizing Committee, Osaka (2016)
5. Denkowski, M., Lavie, A.: Meteor universal: language specific translation evaluation for any target language. In: Proceedings of the Ninth Workshop on Statistical Machine Translation, pp. 376–380. Association for Computational Linguistics, Baltimore (2014).
https://doi.org/10.3115/v1/W14-3348
,
https://www.aclweb.org/anthology/W14-3348