Noor-Sharaye v.1. A Benchmark Dataset of Complex Words for Evaluating Arabic Analyzers
By: Azal Alaswaad and Behrouz Minaei-Bidgoli
References
- Ahmed Abdelali, A., Darwish, K., Durrani, N., & Mubarak, H. (2016). Farasa: A fast and furious segmenter for Arabic. 11–16. 10.18653/v1/N16-3003
- Alansary, S., Nagi, M., & Adly, N. (2007). Building an International Corpus of Arabic (ICA): Progress of compilation stage. 7th International Conference on Language Engineering, Cairo, Egypt, 5–6.
- Al-Aswad, A., Minaei-Bidgoli, B., Shenassa, M.-E., Hossayni, S.-A., & Seryani, H. (2024). Noor-stem v.1 A Benchmark Dataset for Evaluating the Arabic Stemmers. Jsdp, 21(1), 101–112. 10.61186/jsdp.21.1.101.
- Al-Khatib, R. M., Zerrouki, T., Abu Shquier, M. M., & Balla, A. (2023). Tashaphyne0. 4: A new Arabic light stemmer based on rhyzome modelling approach. Information Retrieval Journal, 26(1),
14 . 10.1007/s10791-023-09429-y - El-Defrawy, M., El-Sonbaty, Y., & Belal, N. A. (2015). CBAS: Context Based Arabic Stemmer. ArXiv Preprint arXiv:1611.00027. 10.5121/ijnlc.2015.4301
- Boudlal, A., Lakhouaja, A., Mazroui, A., Meziane, A., Bebah, M., & Shoul, M. (2010). Alkhalil morpho sys1: A morphosyntactic analysis system for Arabic texts. International Arab Conference on Information Technology, 1–6.
- Buckwalter, T. (2004). Issues in Arabic orthography and morphology analysis. Proceedings of the Workshop on Computational Approaches to Arabic Script-Based Languages, 31–34.
https://aclanthology.org/W04-1606.pdf - Dukes, K., & Habash, N. (2010). Morphological Annotation of Quranic Arabic.
https://www.lrec-conf.org/proceedings/lrec2010/pdf/276_Paper.pdf . - Elbes, M., Aldajah, A., & Sadaqa, O. (2019). P-stemmer or NLTK stemmer for Arabic text classification? pp. 516–520. 10.1109/SNAMS.2019.8931818
- Kanan, T., Sadaqa, O., Almhirat, A., & Kanan, E. (2019). Arabic light stemming: A comparative study between p-stemmer, khoja stemmer, and light10 stemmer. pp. 511–515. 10.1109/SNAMS.2019.8931842
- Khoja, S., & Garside, R. (1999). Stemming Arabic text. Lancaster, UK, Computing Department, Lancaster University, 29.
- Obiad, O. (2020) CAMeL tools: An open source python toolkit for Arabic natural language processing. In Proceedings of the 12th language resources and evaluation conference. pp. 7022–7032.
https://aclanthology.org/2020.lrec-1.868 - Pasha, A., Al-Badrashiny, M., Diab, M. T., El Kholy, A., Eskander, R., Habash, N., Pooleery, M., Rambow, O., & Roth, R. (2014). Madamira: A fast, comprehensive tool for morphological analysis and disambiguation of Arabic. Lrec, 14(2014), 1094–1101.
https://www.lrec-conf.org/proceedings/lrec2014/pdf/593_Paper.pdf - Soudi, A., Neumann, G., & van den Bosch, A. (2007).
Arabic computational morphology: Knowledge-based and empirical methods . In Arabic computational morphology: Knowledge-based and Empirical Methods, Springer, 2007, pp. 3–14.https://link.springer.com/chapter/10.1007/978-1-4020-6046-5_1
DOI: https://doi.org/10.5334/johd.572 | Journal eISSN: 2059-481X
Language: English
Page range: 110 - 110
Submitted on: Apr 19, 2026
Accepted on: Jul 24, 2026
Published on: Aug 13, 2026
Published by: Ubiquity Press
In partnership with: Paradigm Publishing Services
Keywords:
© 2026 Azal Alaswaad, Behrouz Minaei-Bidgoli, published by Ubiquity Press
This work is licensed under the Creative Commons Attribution 4.0 License.