Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)

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Named Entity Recognition in NLP For Hindi and Arabic: A Comparative Study

Authors
Mohammed Nasser Jaber1, *
1Department of Computer Science and Engineering, Vivekananda Global University, Jaipur, India
*Corresponding author. Email: abunasserip@gmail.com
Corresponding Author
Mohammed Nasser Jaber
Available Online 19 April 2025.
DOI
10.2991/978-94-6463-700-7_34How to use a DOI?
Keywords
Hindi Language; Arabic Language; NLP; Named Entity Recognition; Comparative Study; Linguistical Challenges
Abstract

This work is a first-of-its-kind study in its subject. It undertakes a comparative investigation into Named Entity Recognition (NER) across two common linguistical low-resource languages, Hindi and Arabic, to elucidate language-specific challenges and efficacious methodological innovations within the Natural Language Processing (NLP) domain. Through a systematic evaluation of varied NER models and algorithms, incorporating linguistic feature analysis, data annotation, and machine learning techniques, the research identifies distinct challenges pertaining to the script, morphology, and contextual dependencies inherent to each language. By highlighting the efficacy of language-specific model adaptations, the study offers novel insights into optimizing NER performance for underrepresented languages, thereby contributing a foundational framework for advancing cross-linguistic NLP research and technology development.

Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

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Volume Title
Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)
Series
Advances in Intelligent Systems Research
Publication Date
19 April 2025
ISBN
978-94-6463-700-7
ISSN
1951-6851
DOI
10.2991/978-94-6463-700-7_34How to use a DOI?
Copyright
© 2025 The Author(s)
Open Access
Open Access This chapter is licensed under the terms of the Creative Commons Attribution-NonCommercial 4.0 International License (http://creativecommons.org/licenses/by-nc/4.0/), which permits any noncommercial use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made.

Cite this article

risenwbib
TY  - CONF
AU  - Mohammed Nasser Jaber
PY  - 2025
DA  - 2025/04/19
TI  - Named Entity Recognition in NLP For Hindi and Arabic: A Comparative Study
BT  - Proceedings of the International Conference on Advancements in Computing Technologies and Artificial Intelligence (COMPUTATIA-2025)
PB  - Atlantis Press
SP  - 428
EP  - 452
SN  - 1951-6851
UR  - https://doi.org/10.2991/978-94-6463-700-7_34
DO  - 10.2991/978-94-6463-700-7_34
ID  - Jaber2025
ER  -