Implications of Multi-Word Expressions on English to Bharti Braille
  Machine Translation
Nisheeth Joshi Pragya Katyayan
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%.