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Smart Systems and IoT: Innovations in Computing pp 227–235Cite as

Rule-Based Derivational Stemmer for Sindhi Devanagari Using Suffix Stripping Approach

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Part of the book series: Smart Innovation, Systems and Technologies ((SIST,volume 141))

Abstract

Stemming is one of the important tasks of Natural Language Processing Applications, such as in Information retrieval and Machine Translation. In this research paper, we focused on Derivational Stemmer for resource-poor language Sindhi, in Devanagari Script by using suffix Stripping approach. A dictionary of frequent words is added to reduce over and under stemming error. This is our first attempt to develop a Rule-based Derivational Stemmer in Sindhi Devanagari Script. We compared the results of this derivational stemmer with inflectional stemmer of Sindhi Devanagari Script, previously developed by us.

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Authors and Affiliations

  1. Computer Science Department, Faculty of Mathematics and Computing, Banasthali Vidyapith, Jaipur, Rajasthan, India

    Bharti Nathani, Nisheeth Joshi & G. N. Purohit

Authors
  1. Bharti Nathani
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  2. Nisheeth Joshi
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  3. G. N. Purohit
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Corresponding author

Correspondence to Bharti Nathani .

Editor information

Editors and Affiliations

  1. College of Engineering, Iowa State University, Ames, IA, USA

    Arun K. Somani

  2. School of Computing and Information Technology, Manipal University Jaipur, Jaipur, Rajasthan, India

    Rajveer Singh Shekhawat

  3. Department of Information Technology, Manipal University Jaipur, Jaipur, Rajasthan, India

    Ankit Mundra

  4. Department of Information Technology, Manipal University Jaipur, Jaipur, Rajasthan, India

    Sumit Srivastava

  5. School of Computing and Information Technology, Manipal University Jaipur, Jaipur, Rajasthan, India

    Vivek Kumar Verma

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Nathani, B., Joshi, N., Purohit, G.N. (2020). Rule-Based Derivational Stemmer for Sindhi Devanagari Using Suffix Stripping Approach. In: Somani, A.K., Shekhawat, R.S., Mundra, A., Srivastava, S., Verma, V.K. (eds) Smart Systems and IoT: Innovations in Computing. Smart Innovation, Systems and Technologies, vol 141. Springer, Singapore. https://doi.org/10.1007/978-981-13-8406-6_23

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