Simplification of English and Bengali Sentences for Improving Quality of Machine Translation

Author:

Mahata Sainik KumarORCID,Garain Avishek,Das Dipankar,Bandyopadhyay Sivaji

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Computer Networks and Communications,General Neuroscience,Software

Reference29 articles.

1. Bahdanau D, Cho K, Bengio Y (2015) Neural machine translation by jointly learning to align and translate. In: Bengio Y, LeCun Y (eds) 3rd International Conference on Learning Representations, ICLR 2015, San Diego, CA, USA, May 7-9, 2015, Conference Track Proceedings, arXiv:1409.0473

2. Banerjee T, Kunchukuttan A, Bhattacharya P (2018) Multilingual Indian language translation system at WAT 2018: Many-to-one phrase-based SMT. In: Proceedings of the 32nd Pacific Asia Conference on Language, Information and Computation: 5th Workshop on Asian Translation: 5th Workshop on Asian Translation, Association for Computational Linguistics, Hong Kong, https://aclanthology.org/Y18-3013

3. Chollet F, et al. (2015) Keras. https://keras.io

4. Chung J, Cho K, Bengio Y (2016) A character-level decoder without explicit segmentation for neural machine translation. CoRR abs/1603.06147, arXiv:1603.06147

5. Das A, Garain U, Senapati A (2014) Automatic detection of subject/object drops in bengali. In: 2014 International Conference on Asian Language Processing (IALP), pp 91–94, https://doi.org/10.1109/IALP.2014.6973488

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