Journal of Social Science and Human Research Studies (JSSHRS) · Research article · Open access
Grammatical Tagging of Arabic Word for Corpus Analysis
Zainur Rijal Abdul Razak, Yuslina Mohamed
31 August 2026 · Vol. 2, Issue 8, pp. 1612-1619
DOI: 10.65150/EP-jsshrs/V2E8/2026-31
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What is this article about?
Word tagging is one of the important processes in computational linguistics studies. It provides detailed information about the grammatical part of speech (PoS) to the researcher.
Article at a glance
- Published
- 31 August 2026
- Volume / issue / pages
- Vol. 2, Issue 8, pp. 1612-1619
- ISSN
- 3051-3561 (online) · 3051-3553 (print)
- Licence
- CC BY 4.0 — free to read and reuse with attribution
- Peer review
- Double-blind, at least two independent reviewers
- Publisher
- EP Journals Group
Abstract
Word tagging is one of the important processes in computational linguistics studies. It provides detailed information about the grammatical part of speech (PoS) to the researcher. However, tagging process is not an easy process particularly when relating to Arabic text. One of the main reasons that led to this situation is the fact that many Arabic word characters (space between characters) could contain more than one word. Thus, this paper aims to revisit our experience in tagging Arabic words and to highlight critical issues related to the process. It also aims to validate the possibility of using computer analyzer software, namely Wordsmith 5.0 for Arabic texts. Using several Arabic texts from newspapers as examples, this paper reveals how the tagging process was executed using a self-constructed tag set. It also discusses the issues and linguistic factors considered in constructing the tag sets. This includes the differences that exist between Arabic word characteristics in writing and their articulation. This paper finally stresses the more complicated issues in tagging Arabic words in relation to the fact that Arabic has the affixation and diacritics systems. The application of short vowels and orthographic diacritics in Arabic language also contributes to the phenomenon. Despite this fact, this paper also proves that a researcher can make the tagging process simpler by focusing on certain grammatical features, aiming the tagging for word disambiguation and applying an appropriate analyzing software.
Keywords: Grammatical tagging, Arabic automatic analysis, corpus linguistics, computational linguistics, tag set.
Cite this article
Zainur Rijal Abdul Razak, & Yuslina Mohamed (2026). Grammatical Tagging of Arabic Word for Corpus Analysis. Journal of Social Science and Human Research Studies, 2(8), 1612-1619. https://doi.org/10.65150/EP-jsshrs/V2E8/2026-31
@article{Zainur2026,
title = {Grammatical Tagging of Arabic Word for Corpus Analysis},
author = {Zainur Rijal Abdul Razak and Yuslina Mohamed},
journal = {Journal of Social Science and Human Research Studies},
year = {2026},
volume = {2},
number = {8},
pages = {1612-1619},
doi = {10.65150/EP-jsshrs/V2E8/2026-31},
url = {https://doi.org/10.65150/EP-jsshrs/V2E8/2026-31}
}Questions about this article
Who wrote this article?
Zainur Rijal Abdul Razak, Yuslina Mohamed.
Where and when was it published?
In Journal of Social Science and Human Research Studies, Volume 2, Issue 8, pages 1612-1619, published by EP Journals Group on 31 August 2026.
Is this article free to read?
Yes. It is open access under a Creative Commons Attribution 4.0 (CC BY 4.0) licence, so anyone can read, share and reuse it with attribution.
What is the DOI of this article?
10.65150/EP-jsshrs/V2E8/2026-31 (https://doi.org/10.65150/EP-jsshrs/V2E8/2026-31).
How do I cite this article?
APA: Zainur Rijal Abdul Razak, & Yuslina Mohamed (2026). Grammatical Tagging of Arabic Word for Corpus Analysis. Journal of Social Science and Human Research Studies, 2(8), 1612-1619. https://doi.org/10.65150/EP-jsshrs/V2E8/2026-31
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