An Augmented Translation Technique for Low Resource Language Pair: Sanskrit to Hindi Translation

R. Kumar; P. Jha; V. Sahula

DOI:10.1145/3377713.3377774

Corpus ID: 211105054

An Augmented Translation Technique for Low Resource Language Pair: Sanskrit to Hindi Translation

@article{Kumar2019AnAT,
  title={An Augmented Translation Technique for Low Resource Language Pair: Sanskrit to Hindi Translation},
  author={R. Kumar and P. Jha and V. Sahula},
  journal={ArXiv},
  year={2019},
  volume={abs/2006.08332}
}

R. Kumar, P. Jha, V. Sahula

Published 2019

Computer Science

ArXiv

Neural Machine Translation (NMT) is an ongoing technique for Machine Translation (MT) using an enormous artificial neural network. It has exhibited promising outcomes and has shown incredible potential in solving challenging machine translation exercises. One such exercise is the best approach to furnish great MT to language sets with a little preparing information. In this work, we inspect Zero-Shot Translation (ZST) for a low resource language pair. By working on high resource language pairs… CONTINUE READING

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