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GA-Based Machine Translation System for Sanskrit to Hindi Language

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Recent Trends in Communication, Computing, and Electronics

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 524))

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.

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Author information

Authors and Affiliations

  1. Research Labs, CSED, Thapar University, Patiala, Punjab, India

    Muskaan Singh

  2. CSED, Thapar University, Patiala, Punjab, India

    Ravinder Kumar & Inderveer Chana

Authors
  1. Muskaan Singh
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  2. Ravinder Kumar
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  3. Inderveer Chana
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Corresponding author

Correspondence to Muskaan Singh .

Editor information

Editors and Affiliations

  1. University of Allahabad, Allahabad, India

    Ashish Khare

  2. Indian Institute of Information Technology, Allahabad, Uttar Pradesh, India

    Uma Shankar Tiwary

  3. Oakland University, Rochester, MI, USA

    Ishwar K. Sethi

  4. University of Allahabad, Allahabad, Uttar Pradesh, India

    Nar Singh

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© 2019 Springer Nature Singapore Pte Ltd.

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Singh, M., Kumar, R., Chana, I. (2019). GA-Based Machine Translation System for Sanskrit to Hindi Language. In: Khare, A., Tiwary, U., Sethi, I., Singh, N. (eds) Recent Trends in Communication, Computing, and Electronics. Lecture Notes in Electrical Engineering, vol 524. Springer, Singapore. https://doi.org/10.1007/978-981-13-2685-1_40

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  • DOI: https://doi.org/10.1007/978-981-13-2685-1_40

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-13-2684-4

  • Online ISBN: 978-981-13-2685-1

  • eBook Packages: EngineeringEngineering (R0)

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