Analysis of Semantic and Syntactic Properties of Urdu Verb by using Machine Learning

Authors

  • Ayesha Zafar PhD Scholar, University of Gujrat
  • Behzad Anwar University of Gujrat, Pakistan

Keywords:

Lexical Semantics, Urdu Verbs, Natural language processing

Abstract

This research paper analyses the syntactic and semantic properties of Urdu verbs with the help of machine learning techniques. In order to comprehend the syntactic and semantic characteristics of Urdu verbs the sentences were obtained from the online corpus and analysed in an algorithm. A general framework was adopted for Urdu natural language processing task (NLP) which incorporated machine learning (ML) and deep learning techniques to analyse Urdu verb text.

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Published

2023-03-15

How to Cite

Zafar, A., & Anwar, B. . (2023). Analysis of Semantic and Syntactic Properties of Urdu Verb by using Machine Learning. Pakistan Journal of Social Sciences, 43(1), 103-122. Retrieved from http://pjss.bzu.edu.pk/index.php/pjss/article/view/1228