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Bilingual Machine Translation System Between Hindi and Sanskrit Languages

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Advanced Informatics for Computing Research (ICAICR 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1075))

Abstract

Machine translation (MT) is increasingly becoming popular today as it reduces a great deal of efforts when it comes to the task of translation from one language to other. Not only is it time saving, but secure and cost-effective in the long run. A lot of work has been done in the field of MT lately. Various machine translation systems (MTS) have been developed for numerous languages. Sanskrit is one of the oldest languages in the world and is still in existence. There is loads of literary, scientific and mathematical work written in Sanskrit during ancient times. Despite of its important part in Indian culture and history, not much work has been done for translation to or from Sanskrit language. This proposed work is an effort to bridge the language gap between Sanskrit and Hindi, one of the most widely spoken languages of the world. The idea is to develop an MTS which will serve as a tool to perform two-way translation between Hindi and Sanskrit language. The system once developed can be used for learning and understanding the grammar and structure of both the involved languages.

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Author information

Authors and Affiliations

  1. Lovely Professional University, Phagwara, Punjab, India

    Neha Bhadwal, Prateek Agrawal & Vishu Madaan

  2. University of Klagenfurt, Klagenfurt, Austria

    Prateek Agrawal

Authors
  1. Neha Bhadwal
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  2. Prateek Agrawal
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  3. Vishu Madaan
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Corresponding author

Correspondence to Prateek Agrawal .

Editor information

Editors and Affiliations

  1. Papua New Guinea University of Technology, Lae, Papua New Guinea

    Ashish Kumar Luhach

  2. Computer Science Department, Namibia University of Science and Technology, Windhoek, Namibia

    Dharm Singh Jat

  3. Universiti Malaysia Pahang, Pekan, Pahang, Malaysia

    Kamarul Bin Ghazali Hawari

  4. School of Computing, University of Eastern Finland, Kuopio, Finland

    Xiao-Zhi Gao

  5. Department of Mathematics and Computing Science, Saint Mary's University, Halifax, Canada

    Pawan Lingras

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Bhadwal, N., Agrawal, P., Madaan, V. (2019). Bilingual Machine Translation System Between Hindi and Sanskrit Languages. In: Luhach, A., Jat, D., Hawari, K., Gao, XZ., Lingras, P. (eds) Advanced Informatics for Computing Research. ICAICR 2019. Communications in Computer and Information Science, vol 1075. Springer, Singapore. https://doi.org/10.1007/978-981-15-0108-1_29

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  • DOI: https://doi.org/10.1007/978-981-15-0108-1_29

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-15-0107-4

  • Online ISBN: 978-981-15-0108-1

  • eBook Packages: Computer ScienceComputer Science (R0)

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