Towards Better English to Bharti Braille Neural Machine Translation Through Improved Name Entity Translation

In this paper, the expansion of English to Bharti Braille neural machine translation system has been carried out. It is shown how a baseline Neural Machine Translation (NMT) model can be improved 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 name entities. The approach shows promising results across language pair and improvement in the quality of NMT outputs. The least improvement was observed in English-Tamil language pair with 8.79% and the most improvement was observed in English-Hindi language pair with 15.01%.