Implications of Multi-Word Expressions on English to Bharti Braille Machine Translation

Nisheeth Joshi, Pragya Katyayan
5/5/2023
cs.CLcs.AI

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Abstract

In this paper, we have shown the improvement of English to Bharti Braille machine translation system. We have shown how we can improve a baseline NMT model by adding some linguistic knowledge to it. This was done for five language pairs where English sentences were translated into five Indian languages and then subsequently to corresponding Bharti Braille. This has been demonstrated by adding a sub-module for translating multi-word expressions. The approach shows promising results as across language pairs, we could see improvement in the quality of NMT outputs. The least improvement was observed in English-Nepali language pair with 22.08% and the most improvement was observed in the English-Hindi language pair with 23.30%.

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Cite this paper

@article{joshi2023implications,
  title  = {Implications of Multi-Word Expressions on English to Bharti Braille Machine Translation},
  author = {Nisheeth Joshi and Pragya Katyayan},
  year   = {2023},
  eprint = {2305.06157},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2305.06157v1}
}

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