Self-attention-Based Deep Learning Approach for Machine Translation of Low Resource Languages: A Case of Sanskrit-Hindi

Author:

Sethi Nandini,Dev Amita,Bansal Poonam

Publisher

Springer Nature Singapore

Reference15 articles.

1. Albat TF (2015) Systems and methods for automatically estimating a translation time including preparation time in addition to the translation itself. Google Patents. US Patent 9,128,929

2. Ba JL, Kiros JR, Hinton GE (2016) Layer normalization. arXiv preprint arXiv:1607.06450

3. Bahdanau D, Cho K, Bengio Y (2014) Neural machine translation by jointly learning to align and translate. arXiv preprint arXiv:1409.0473

4. Cho K, Van Merriënboer B, Bahdanau D, Bengio Y (2014) On the properties of neural machine translation: encoder-decoder approaches. arXiv preprint arXiv:1409.1259

5. Indurkhya N, Damerau FJ (2010) Handbook of natural language processing. Chapman and Hall/CRC

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