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ISSN 2063-5346
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DIFFERENT WAYS TO ADDRESS MACHINE TRANSLATION USING MACHINE LEARNING FOR SANSKRIT LANGUAGE

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ARCHANA SACHINDEO MAURYA, PROMILA BAHADUR, DIVAKAR YADAV
» doi: 10.31838/ecb/2023.12.si4.077

Abstract

One of the most significant uses of natural language processing is machine translation. It is a sophisticated computer-based translation technique that has been under investigation for many years. There has been a great deal of visible work done in this area. Before there were computers to apply to it, machine translation required significant assumptions. This study tries to present several machine translation methodologies, tools, and algorithms. The success rate and difficulties encountered are also discussed in the paper.

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