Improving Existing Punjabi Morphological Analyzer using N-gram

Authors

  • SK Sharma Dept. of Computer Science and Applications, DAV University, Jalandhar, India

DOI:

https://doi.org/10.26438/ijcse/v5i9.171174

Keywords:

Morphological analyzer, Morph, N-gram approach

Abstract

Morphological analysis is an essential tool for almost all Natural Language Processes like POS tagging, Grammar checking, Sentence simplification, generation of Treebank and parsing. In this research article, author has used N-gram statistical technique to improve the existing morphological analyzer. The main factor that reduces the accuracy of morphological analyzer is presence of unknown words. In this research article author has used n-gram approach for detecting the POS tag of unknown word. The results shows an average precision of 82.34, recall 70.20 and F-measure 75.74.

References

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Published

2025-11-12
CITATION
DOI: 10.26438/ijcse/v5i9.171174
Published: 2025-11-12

How to Cite

[1]
S. Sharma, “Improving Existing Punjabi Morphological Analyzer using N-gram”, Int. J. Comp. Sci. Eng., vol. 5, no. 9, pp. 171–174, Nov. 2025.

Issue

Vol. 5 No. 9 (2017): IJCSE September Edition

Section

Research Article

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