References
- Abdelali, A., Darwish, K., Durrani, N., & Mubarak, H. (2016). Farasa: A fast and furious segmenter for arabic. In Proceedings of the 2016 conference of the north american chapter of the association for computational linguistics (naacl) (pp. 11–16). 10.18653/v1/N16-3003
- Alharbi, R., & Lee, M. (2022).
A cross-domain evaluation of arabic nlp tools . Journal of King Saud University – Computer and Information Sciences. (In press). - Aljumaily, A. (2022). Evaluation of classical arabic nlp tools. Journal of Arabic Linguistics.
- Blitzer, J., McDonald, R., & Pereira, F. (2006). Domain adaptation with structural correspondence learning. In Proceedings of the conference on empirical methods in natural language processing (emnlp) (pp. 120–128).
Association for Computational Linguistics . 10.3115/1610075.1610094 - Darwish, K. (2014). Arabic nlp for social media. In Proceedings of the acl workshop on social nlp (pp. 1–6).
Association for Computational Linguistics . - Daumé, H.
III. (2007). Frustratingly easy domain adaptation. In Proceedings of the 45th annual meeting of the association for computational linguistics (acl) (pp. 256–263).Association for Computational Linguistics . - Dukes, K., & Habash, N. (2010a). Morphological annotation of quranic arabic. In Proceedings of the seventh international conference on language resources and evaluation (lrec 2010) (pp. 2530–2536). Retrieved from
http://www.lrec-conf.org/proceedings/lrec2010/pdf/276_Paper.pdf - Dukes, K., & Habash, N. (2010b). Morphological annotation of quranic arabic. In Proceedings of the seventh international conference on language resources and evaluation (lrec) (pp. 2530–2536).
- Freihat, A. A., Bella, G., Mubarak, H., & Giunchiglia, F. (2018). A single-model approach for arabic segmentation, pos tagging, and named entity recognition. In Proceedings of the 11th international conference on language resources and evaluation (lrec) (pp. 1756–1763). 10.1109/ICNLSP.2018.8374393
- Gururangan, S., Marasović, A., Swayamdipta, S., Lo, K., Beltagy, I., Downey, D., & Smith, N. A. (2020). Don’t stop pretraining: Adapt language models to domains and tasks. In Proceedings of the 58th annual meeting of the association for computational linguistics (acl) (pp. 8342–8360).
Association for Computational Linguistics . 10.18653/v1/2020.acl-main.740 - Maamouri, M., Bies, A., Buckwalter, T., & Mekki, W. (2004). Penn arabic treebank: Part 1 v 2.0 (Tech. Rep. No. LDC2004T11). Philadelphia: Linguistic Data Consortium. Retrieved 2025-01-03, from
https://catalog.ldc.upenn.edu/LDC2004T11 - Maamouri, M., Graff, D., Bouziri, B., Krouna, S., Kulick, S., & Buckwalter, T. (2010). Standard arabic morphological analyzer (sama) version 3.1 (Tech. Rep.). 10.35111/wgjk-zy44 (LDC Catalog No. LDC2010L01)
- Namly, D., Tajmout, R., Bouzoubaa, K., & Abouenour, L. (2016). Nafis: A gold standard corpus for arabic stemmers evaluation. (Dataset).
- Obeid, O., Zalmout, N., Khalifa, S., Taji, D., Obeid, M., Alhafni, B., … Habash, N. (2020). Camel tools: An open source python toolkit for arabic natural language processing. In Proceedings of the 12th language resources and evaluation conference (lrec) (pp. 7022–7032).
- Pan, S. J., & Yang, Q. (2010). A survey on transfer learning. IEEE Transactions on Knowledge and Data Engineering, 22(10), 1345–1359. 10.1109/TKDE.2009.191
- Ramponi, A., & Plank, B. (2020). Neural unsupervised domain adaptation in nlp: A survey. Computa- tional Linguistics, 46(2), 1–42. 10.48550/arXiv.2006.00632
- Zaidan, O., & Callison-Burch, C. (2012). Arabic dialect identification. In Proceedings of the 50th annual meeting of the association for computational linguistics (acl) (pp. 49–54).
Association for Computational Linguistics .