GA-based machine translation system for Sanskrit to Hindi language

Abstract

Machine translation is the noticeable field of the computational etymology. Computational phonetics has a place with the branch of science which bargains the dialect perspectives with the help of software engineering innovation. In this field, all handling of regular dialect is finished by the machine (PC). Calculation is done by considering all features of the language and in addition vital principal of sentence like its structure semontics and morphology. Machine ought to see all these conceivable parts of the dialect, yet past work does not deal with alternate prerequisites amid machine interpretation. Current online and work area machine interpretation frameworks disregard numerous parts of the dialects amid interpretation. Because of this issue, numerous ambiguities have emerged. Because of these ambiguities, current machine interpreter is not ready to deliver right interpretation. In this proposed work, genetic algorithm-based machine translation system is proposed for the translation of Sanskrit into Hindi language which is more efficient than the existing translation systems.