A Vowel Based Word Splitter to Improve Performance of Existing Nepali Morphological Analyzers on Words Borrowed from Sanskrit

Authors

  • Madhusudan Adhikari Department of Computer Science and Engineering, School of Engineering, Kathmandu University
  • Aatish Neupane Department of Computer Science and Engineering, School of Engineering, Kathmandu University

DOI:

https://doi.org/10.70530/kuset.v14i1.475

Keywords:

Natural Language Processing(NLP), Morphological analyzers, Sanskrit conjunction, Nepali morpho-analysis, Tatsama words

Abstract

Nepali lexicon is rich in words borrowed from Sanskrit language, called "Tatsama" words. These words have a specific set of rules to split them into affixes and morphemes. This paper details these rules and describes an implementation that can be used to improve existing Nepali Morphological Analyzers which do not yet implement concrete rules for these kinds of words.

Published

2020-04-30

How to Cite

Adhikari, M. ., & Neupane, A. . (2020). A Vowel Based Word Splitter to Improve Performance of Existing Nepali Morphological Analyzers on Words Borrowed from Sanskrit. Kathmandu University Journal of Science Engineering and Technology, 14(1). https://doi.org/10.70530/kuset.v14i1.475

Issue

Vol. 14 No. 1 (2020): Kathmandu University for Science, Engineering and Technology (KUSET)

Section

Original Research Articles
Creative Commons License

This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

This work is licensed under CC BY-SA 4.0