Version 1
: Received: 16 September 2024 / Approved: 16 September 2024 / Online: 17 September 2024 (02:55:45 CEST)
How to cite:
Jha, B. Exploring NLP Challenges and Opportunities Forlanguages with Extensive Character Sets: A Casestudy on Nepali. Preprints2024, 2024091229. https://doi.org/10.20944/preprints202409.1229.v1
Jha, B. Exploring NLP Challenges and Opportunities Forlanguages with Extensive Character Sets: A Casestudy on Nepali. Preprints 2024, 2024091229. https://doi.org/10.20944/preprints202409.1229.v1
Jha, B. Exploring NLP Challenges and Opportunities Forlanguages with Extensive Character Sets: A Casestudy on Nepali. Preprints2024, 2024091229. https://doi.org/10.20944/preprints202409.1229.v1
APA Style
Jha, B. (2024). Exploring NLP Challenges and Opportunities Forlanguages with Extensive Character Sets: A Casestudy on Nepali. Preprints. https://doi.org/10.20944/preprints202409.1229.v1
Chicago/Turabian Style
Jha, B. 2024 "Exploring NLP Challenges and Opportunities Forlanguages with Extensive Character Sets: A Casestudy on Nepali" Preprints. https://doi.org/10.20944/preprints202409.1229.v1
Abstract
This study provides a detailed examination of Natural Language Processing (NLP) for the complexscript of Nepali. We analyze available data resources today and discuss relevant points includingcharacter encoding, advanced tokenization methods and morphological complexity. This allows us tocontrast Nepal’s unique language and technology ecosystem with Hindi and Thai in terms of NLPadvancements. Quantitative assessment of existing tools and resources is offered by this investigationwhich highlights immediate weaknesses as well as areas that need more effort. Various ethicalconcerns are addressed here while potential topics for future research as e-governance, healthcare oreducation with a focus on new domain-specific applications, and cross-lingual transfer learning aresuggested. The objective of this attempt is to enhance understanding of natural language processing(NLP) in Nepali language and beyond aimed at developing NLP technologies that are more efficient,inclusive, culturally appropriate across diverse linguistic communities.
Keywords
NLP; Language Processing
Subject
Computer Science and Mathematics, Computer Science
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
