CLApr 13, 2018

Demo of Sanskrit-Hindi SMT System

arXiv:1804.06716v17 citations
Originality Synthesis-oriented
AI Analysis

This is an incremental improvement for researchers and users in low-resource language translation, focusing on a specific language pair.

The authors tackled machine translation from Sanskrit to Hindi by developing a phrase-based statistical system using Moses, achieving a BLEU score of 57.

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.

Foundations

The foundational work for this paper's niche, ranked by how specifically the neighbourhood builds on it — not by global fame.

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