Bilingual Machine Translation: English to Bengali

  • Sauvik BalEmail author
  • Supriyo MahantaEmail author
  • Lopa Mandal
  • Ranjan Parekh
Conference paper
Part of the Advances in Intelligent Systems and Computing book series (AISC, volume 811)


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.


POS tagging Machine translation Parse tree Rule-based system 


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Copyright information

© Springer Nature Singapore Pte Ltd. 2019

Authors and Affiliations

  1. 1.University of Engineering & ManagementJaipurIndia
  2. 2.Institute of Engineering & ManagementKolkataIndia
  3. 3.Jadavpur UniversityKolkataIndia

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