• K. S. Gilda
• S. S. Dixit
• S. V. Narote

Machine Translation (MT) is an emerging field in computer science. It is important for breaking the language barrier and facilitating inter-lingual communication. Though it a fascinating area of research, it faces difficulties right from selecting source-target language pair and designing systems for that language pair. For a multilingual country like INDIA, there is a big requirement of machine translation system. While studying different MT systems in Indian languages it was found that Sanskrit can be thought of source language because of its rich and oldest literature treasure. Many advantages of Sanskrit find use in some of the frontier areas of computer engineering research, notably in artificial intelligence and knowledge based system. The relatively unambiguous nature of this language and its well laid-out grammatical structure promote it as the language for processing. Success of MT needs issue of Natural Language Understanding (NLU) to be solved first. Natural language refers to the language spoken by people such as Hindi, Marathi, Sanskrit, English, etc. as opposed to artificial languages such as C, C++, java etc. This paper focuses on Sanskrit as source language in Machine Translation system. The paper begins with introduction to MT; then gives features of Sanskrit language and highlights the language features suitable for MT; ends with the discussion of general structure for Sanskrit Machine Translation system (SMTS)

Machine Translation, vibhakti, karaka, inflection, analyzer.

"GENERAL STRUCTURE OF SANSKRIT MACHINE TRANSLATION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.6, Issue 4, page no.344-349, April-2019, Available :http://www.jetir.org/papers/JETIRBD06066.pdf

"GENERAL STRUCTURE OF SANSKRIT MACHINE TRANSLATION SYSTEM", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.6, Issue 4, page no. pp344-349, April-2019, Available at : http://www.jetir.org/papers/JETIRBD06066.pdf