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Machine translation model for effective translation of Hindi poetries into English
Published in Journal of Experimental & Theoretical Artificial Intelligence, 2022
Rajesh Kumar Chakrawarti, Jayshri Bansal, Pratosh Bansal
Nair et al. (2016), proposed the machine translation system based on declension rule for converting the English word into Hindi. In this translation process, they used the hybrid Machine Translation (HMT), which is the combination of SMT and the MT system. Here, the input sentence is peruse using the Stanford POS tagger which checks the grammatical structure of the sentence. And, then using declension rule takes tag output from the POS tag. However, this proposed model cannot deal in multi-database, for better translation.