Abstract
The present work proposes a methodology of machine translation system which takes English sentences as input and produces appropriate Bengali sentences as output using natural language processing (NLP) techniques. It first uses a parse tree for syntactic analysis of the sentence structure and then applies semantic analysis for extracting the meaning of the words. An inverse function is then provided to fit that into the Bengali syntax. A dictionary as a separate file is used for mapping between the English words and their Bengali counterparts. The novelty of the present work lies in the fact that it combines both a syntax-based and a meaning-based analysis to arrive at the proper translation. The effectiveness of the algorithm has been demonstrated with examples of different English sentence conversions with several rules, and the results have been compared with that of the Google translator to show the improvements achieved.
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Bal, S., Mahanta, S., Mandal, L., Parekh, R. (2019). Bilingual Machine Translation: English to Bengali. In: Chakraborty, M., Chakrabarti, S., Balas, V., Mandal, J. (eds) Proceedings of International Ethical Hacking Conference 2018. Advances in Intelligent Systems and Computing, vol 811. Springer, Singapore. https://doi.org/10.1007/978-981-13-1544-2_21
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