India is a land of many languages. There are 23 official and much more unofficial languages prevalently used in day-to-day conversations. Unfortunately, information dissemination to the low resource languages get difficult because of the geo-spatial distances. Popular translation platforms helped to fill this gap in major languages but their efficiency is challenged by the lack of availability of proper datasets and their generic nature. This problem is very evident when more domain information gets involved.
We present Samantar, an open translation suggestion framework targeted at Indian languages. Samantar is built with open parallel corpora and opensource technologies. The translations can be tuned to suggest according to different target domains.