Name
Abstract | ||
|---|---|---|
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. |
Year | Venue | Field |
|---|---|---|
2018 | arXiv: Computation and Language | BLEU,Hindi,Computer science,Machine translation system,Phrase,Sanskrit,Artificial intelligence,Natural language processing |
DocType | Volume | ISSN |
Journal | abs/1804.06716 | http://lrec-conf.org/workshops/lrec2018/W11/summaries/20_W11.html |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Rajneesh Kumar Pandey | 1 | 0 | 0.34 |
| Atul Kr. Ojha | 2 | 2 | 4.38 |
| Girish Nath Jha | 3 | 53 | 11.43 |