The demo proposal presents a Phrase-based Sanskrit-Hindi (SaHiT) Statistical Machine Translation system. The system has been developed on Moses. 43k sentences of Sanskrit-Hindi parallel corpus and 56k sentences of a monolingual corpus in the target language (Hindi) have been used. This system gives 57 BLEU score.
@article{arxiv.1804.06716,
title = {Demo of Sanskrit-Hindi SMT System},
author = {Rajneesh Pandey and Atul Kr. Ojha and Girish Nath Jha},
journal= {arXiv preprint arXiv:1804.06716},
year = {2018}
}
Comments
Proceedings of the 4th Workshop on Indian Language Data: Resources and Evaluation (under the 11th LREC2018, May 07-12, 2018)