Error Analysis of SaHiT - A Statistical Sanskrit-Hindi Translator | Zendy

Rajneesh Kumar Pandey | Zendy; Girish Nath Jha | Zendy

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Error Analysis of SaHiT - A Statistical Sanskrit-Hindi Translator

Author(s) -

Rajneesh Kumar Pandey,

Girish Nath Jha

Publication year - 2016

Publication title -

procedia computer science

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.334

H-Index - 76

ISSN - 1877-0509

DOI - 10.1016/j.procs.2016.08.114

Subject(s) - sanskrit , hindi , computer science , natural language processing , artificial intelligence , machine translation , linguistics , philosophy

The paper shows a statistical Sanskrit-Hindi Translator and analyzes the errors being generated by the system. The System is being trained simultaneously on the platform - the Microsoft Translator Hub (MTHub) and is intended only for simple Sanskrit prose texts. The training set includes 24K parallel sentences and 25k monolingual data with recent BLEU (Bilingual Evaluation Understudy) scores of 41 and above. The paper discusses the errors analysis of the system and suggests possible solutions. Further, it also focuses on the evaluation of MTHub system with BLEU metrics. For developing MT systems, the parallel Sanskrit-Hindi text corpora has been collected or developed manually from the literature, health, news and tourism domains. The paper also discusses issues and challenges in the development of translation systems for languages like Sanskrit

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