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Peer Analysis of “Sanguj” with Other Sanskrit Morphological Analyzers

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Progress in Computing, Analytics and Networking

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1119))

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Abstract

In linguistics, morphology is a study regarding word, word formation, its analysis, and generation. A morphological analyzer is a tool to understand grammatical characteristics and constituent’s part-of-speech information. A morphological analyzer is a useful tool in many NLP implementations such as syntactic parser, spell checker, information retrieval, and machine translation. Here, 328 Sanskrit words are tested through four morphological analyzers namely—Samsaadhanii, morphological analyzers by JNU and TDIL, both of which are available online and locally developed and installed Sanguj morphological analyzer. There is a negligible divergence in the reflected results.

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Authors and Affiliations

  1. Symbiosis Institute of Computer Studies and Research (SICSR), Symbiosis International (Deemed University) (SIU), Pune, India

    Jatinderkumar R. Saini

  2. Dr. Babasaheb Ambedkar Open University, Ahmedabad, Gujarat, India

    Jatinderkumar R. Saini & Jaideepsinh K. Raulji

  3. Ahmedabad University, Ahmedabad, Gujarat, India

    Jaideepsinh K. Raulji

Authors
  1. Jatinderkumar R. Saini
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  2. Jaideepsinh K. Raulji
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Corresponding author

Correspondence to Jatinderkumar R. Saini .

Editor information

Editors and Affiliations

  1. School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India

    Himansu Das

  2. School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India

    Prasant Kumar Pattnaik

  3. School of Computer Engineering, KIIT Deemed to be University, Bhubaneswar, Odisha, India

    Siddharth Swarup Rautaray

  4. Department of Computer Science and Information Engineering (CSIE), Providence University, Taichung, Taiwan

    Kuan-Ching Li

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Saini, J.R., Raulji, J.K. (2020). Peer Analysis of “Sanguj” with Other Sanskrit Morphological Analyzers. In: Das, H., Pattnaik, P., Rautaray, S., Li, KC. (eds) Progress in Computing, Analytics and Networking. Advances in Intelligent Systems and Computing, vol 1119. Springer, Singapore. https://doi.org/10.1007/978-981-15-2414-1_7

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