Repositioning Taṣrīf Lughawī and Taṣrīf Iṣṭilāḥī in the Age of Artificial Intelligence: Foundations for Arabic Sentence Construction
Keywords:
Taṣrīf Lughawī; Taṣrīf Iṣṭilāḥī; Arabic Morphology Instruction; Arabic Morphology; Artificial Intelligence.Abstract
Arabic morphology instruction has traditionally emphasized taṣrīf iṣṭilāḥī through the memorization of morphological paradigms, while the role of taṣrīf lughawī as a productive competence for Arabic sentence construction has received limited scholarly attention. Meanwhile, contemporary linguistics and Artificial Intelligence highlight the importance of productive morphological analysis in meaning construction and language processing. This study aims to reposition taṣrīf lughawī and taṣrīf iṣṭilāḥī within Arabic morphology instruction by proposing taṣrīf lughawī as the foundation of Arabic sentence construction. Employing a qualitative case study design, the research was conducted at Pondok Pesantren Miftahul Ulum Panyeppen, Pamekasan. Data were collected through participant observation, semi-structured interviews, and document analysis and analyzed using Braun and Clarke's thematic analysis. The findings reveal that taṣrīf iṣṭilāḥī functions primarily as a conceptual framework for developing learners' morphological awareness, whereas taṣrīf lughawī serves as the productive competence that enables word formation, sentence construction, and meaning-making in authentic communicative contexts. Based on these findings, the study proposes a conceptual model positioning taṣrīf iṣṭilāḥī as the conceptual foundation and taṣrīf lughawī as the productive mechanism of Arabic morphology instruction. The study contributes to the advancement of Arabic morphology pedagogy by integrating insights from classical Arabic morphology, contemporary linguistic theory, and Artificial Intelligence, particularly within the domain of Arabic Natural Language Processing
References
Carlisle, J. F. (2000). Awareness of the structure and meaning of morphologically complex words: Impact on reading. Reading and Writing, 12(3–4), 169–190. https://doi.org/10.1023/A:1008131926604
Kuo, L.-J., & Anderson, R. C. (2006). Morphological awareness and learning to read: A cross-language perspective. Educational Psychologist, 41(3), 161–180. https://doi.org/10.1207/s15326985ep4103_3
Saiegh-Haddad, E., & Geva, E. (2008). Morphological awareness, phonological awareness, and reading in English–Arabic bilingual children. Reading and Writing, 21(5), 481–504. https://doi.org/10.1007/s11145-007-9074-x
Saiegh-Haddad, E., & Taha, H. (2017). The role of morphological and phonological awareness in the early development of word spelling and reading in typically developing and disabled Arabic readers. Dyslexia, 23(4), 345–371. https://doi.org/10.1002/dys.1572
Schiff, R., & Saiegh-Haddad, E. (2018). Development and relationships between phonological awareness, morphological awareness and word reading in spoken and standard Arabic. Frontiers in Psychology, 9, 356. https://doi.org/10.3389/fpsyg.2018.00356
Taha, H., & Saiegh-Haddad, E. (2017). Morphology and spelling in Arabic: Development and interface. Journal of Psycholinguistic Research, 46(1), 27–38. https://doi.org/10.1007/s10936-016-9425-3
Saiegh-Haddad, E., & Elouty, A. (2018). Inflectional and derivational morphological awareness in Arabic-speaking high versus low EFL literacy students. Written Language and Literacy, 21(2), 147–168. https://doi.org/10.1075/wll.00013.sai
Shalhoub-Awwad, Y., Aram, D., & Korat, O. (2024). Development of morphological awareness in Arabic: The role of morphological system and morphological distance. Reading and Writing. https://doi.org/10.1007/s11145-024-10581-0
Habash, N., Rambow, O., & Roth, R. (2009). MADA+TOKAN: A toolkit for Arabic tokenization, diacritization, morphological disambiguation, POS tagging, stemming, and lemmatization. Proceedings of the Second International Conference on Arabic Language Resources and Tools, 102–109.
Inoue, G., Khalifa, S., & Habash, N. (2021). Morphosyntactic tagging with pre-trained language models for Arabic and its dialects. Proceedings of the Sixth Arabic Natural Language Processing Workshop, 170–182.
Darwish, K., Habash, N., Abbas, M., Al-Khalifa, H., Al-Natsheh, H. T., El-Beltagy, S. R., Bouamor, H., Bouzoubaa, K., Cavalli-Sforza, V., El-Hajj, W., Jarrar, M., & Mubarak, H. (2021). A panoramic survey of natural language processing in the Arab world. Communications of the ACM, 64(12), 72–81.
Park, H. H., Zhang, K. J., Haley, C., Steimel, K., Liu, H., & Schwartz, L. (2021). Morphology matters: A multilingual language modeling analysis. Transactions of the Association for Computational Linguistics, 9, 261–276.
Downloads
Published
Issue
Section
License
Copyright (c) 2026 Rizky Umi Nasihatus Sholihah, Abdul Hafidz bin Zaid, Agus Yasin, Ulfa Muna Kamila, Isnaeni Budi Setiawati Arifah (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
Tanfidziya is licensed under a Creative Commons Attribution 4.0 International License
.
