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Text classification and gradation in Arabic textbooks
Open accessAbstract
Text classification and text gradation are important for language teachers. Profiling and readability studies examine textual and linguistic features that determine text difficulty. Arabic, as an under-resourced language, suffers from a lack of such studies which results in material developers and textbook writers relying on their intuitions and experiences in selecting appropriate texts. At the classroom level, teachers often supplement or adapt the texts they use to suit their students’ developmental stages. However, they often do this based on their intuition and experience as well. This study aims to sensitise material developers and particularly teachers to a range of textual, linguistic and contextual features that affect text difficulty so, they can make informed decisions about the suitability of the texts they use and how to adapt and/or supplement them. Although this is most important for teachers of under-resourced languages such as Arabic; the study will be useful for teachers of resource-rich languages as well since research shows that even with systematically classified texts, discrepancies exist between texts and their assumed level.
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Cites
Common European Framework of Reference for Languages: learning, teaching, assessment
Verhelst, N. D., Avermaet, P. V., Takala, S., Figueras, N., & North, B. (2009) · Ghent University Academic Bibliography (Ghent University) · Cited by 6,088
Developments in English for Specific Purposes: A Multi-Disciplinary Approach
Dudley-Evans, T., & Jo, M. (1998) · Cited by 1,719
Coh-Metrix: Analysis of text on cohesion and language
Graesser, A. C., McNamara, D. S., Louwerse, M. M., & Cai, Z. (2004) · Behavior Research Methods, Instruments, & Computers · doi:10.3758/bf03195564 · Cited by 1,660 · cited 2×
“Such ‘ readability studies ’ examine the linguistic features of a text to determine its ‘ ease of comprehension ’ score (Graesser et al. 2004; Crossley et al. 2007).”
Materials development for language learning and teaching
Tomlinson, B. (2012) · Language Teaching · doi:10.1017/s0261444811000528 · Cited by 811 · cited 2×
“Tomlinson (2012, 162) explains that ‘ an authentic text is one that is produced in order to communicate rather than to teach ’ .”
Graesser, A. C., McNamara, D. S., & Kulikowich, J. M. (2011) · Educational Researcher · doi:10.3102/0013189x11413260 · Cited by 635
Text and task authenticity in the EFL classroom
Guariento, B. (2001) · ELT Journal · doi:10.1093/elt/55.4.347 · Cited by 585 · cited 4×
“…simpli fi ed texts provides ideal comprehensible input that aids understanding and long-term language acquisition and matches the linguistic and communicative needs of learners, especially at the beginning and intermediate levels (Crossley et al. 2007; Guariento and Morley 2001; Sung et al. 2015).”
InfluentialTeaching and Researching Reading
Erler, L. (2012) · System · doi:10.1016/j.system.2012.06.004 · Cited by 401
Proceedings of the 29th Annual Cognitive Science Society
McNamara, D. S., & Trafton, J. G. (2007) · Cited by 268
Writing System Variation and Its Consequences for Reading and Dyslexia
Daniels, P. T., & Share, D. L. (2017) · Scientific Studies of Reading · doi:10.1080/10888438.2017.1379082 · Cited by 195 · cited 1×
“Research shows that this slows reading and word processing at early levels even for native speakers, let alone for non-native speaking readers of Arabic (Daniels and Share 2018; Yassin, Share, and Shalhoub-Awwad 2020).”
Bartning, I., Martin, M., & Vedder, I. (2011) · UvA-DARE (University of Amsterdam) · Cited by 194
Leveling L2 Texts Through Readability: Combining Multilevel Linguistic Features with the CEFR
Sung, Y., Lin, W.-C., Dyson, S. B., Chang, K., & CHEN, Y. (2015) · Modern Language Journal · doi:10.1111/modl.12213 · Cited by 98 · cited 6×
“This is also con fi rmed by readability studies (Barrot 2015; Sung et al. 2015).”
InfluentialCrossley, S. A., & McNamara, D. S. (2008) · Language Teaching · doi:10.1017/s0261444808005077 · Cited by 58 · cited 5×
“…e ff ect on students ’ learning, the use of too complex demanding texts for learners ’ current pro fi ciency level can be linguistically, cognitively and culturally overwhelming and demoralising for students, which can negatively a ff ect their progression (Crossley et al. 2007; Renandya 2015).”
InfluentialAlif Baa: Introduction to Arabic Letters and Sounds
Brustad, K. E., Al‐Batal, M., & Tūnisī, ʿ. (1995) · Medical Entomology and Zoology · Cited by 41
Of frameworks and the goals of collegiate foreign language education: critical reflections
Byrnes, H. (2012) · Applied Linguistics Review · doi:10.1515/applirev-2012-0001 · Cited by 30
Younes, M. A., & Al-Masri, H. (2015) · Routledge eBooks · doi:10.4324/9780203124734 · Cited by 29
Mohamed, S. G. (2021) · Language Learning Journal · doi:10.1080/09571736.2021.1923781 · Cited by 28 · cited 18×
“The current paper builds on the work in Mohamed (2021b) and assesses the reading texts ’ di ffi culty in four popular Arabic textbook series generically classi fi ed as (Beginner, Intermediate, Advanced, etc.).”
InfluentialSelf-citationLearning to Spell in Arabic: The Impact of Script-Specific Visual-Orthographic Features
Yassin, R., Share, D. L., & Shalhoub‐Awwad, Y. (2020) · Frontiers in Psychology · doi:10.3389/fpsyg.2020.02059 · Cited by 26 · cited 1×
“Research shows that this slows reading and word processing at early levels even for native speakers, let alone for non-native speaking readers of Arabic (Daniels and Share 2018; Yassin, Share, and Shalhoub-Awwad 2020).”
Text readability for Arabic as a foreign language
Saddiki, H., Bouzoubaa, K., & Cavalli‐Sforza, V. (2015) · IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) · doi:10.1109/aiccsa.2015.7507232 · Cited by 25 · cited 10×
“In other words, texts aimed at lower levels should be characterised by high-frequency, simple, familiar every-day vocabulary, whereas higher level texts are characterised by less frequent and diverse vocabulary (Barrot 2015; Graesser, McNamara, and Kulikowich 2011; Hong et al. 2020).”
InfluentialComparing the Linguistic Complexity in Receptive and Productive Modes
Barrot, J. S. (2015) · GEMA Online Journal of Language Studies · doi:10.17576/gema-2015-1502-05 · Cited by 19 · cited 7×
“Discourse type refers to the text genre, which is believed to a ff ect ‘ structural complexity ’ (Barrot 2015, 73).”
InfluentialAligning ESP courses with the Common European Framework of Reference for Languages
Athanasiou, A., Constantinou, E. K., Neophytou, M., Nicolaou, A., Papadima-Sophocleous, S., & Yerou, C. (2016) · Language Learning in Higher Education · doi:10.1515/cercles-2016-0015 · Cited by 15 · cited 2×
“Gutierrez Bermudez (2014) and Athanasiou et al. (2016) agree that authenticity is not just about real-life materials, but also real-life situations and the vocabulary needed in such contexts.”
Estimating CEFR reading comprehension text complexity
Natova, I. (2019) · Language Learning Journal · doi:10.1080/09571736.2019.1665088 · Cited by 15 · cited 1×
“The problem with the Grid as it is was that it focused more on textual than linguistic features; besides, the linguistic categories were not speci fi ed enough to enable accurate assessment of text di ffi culty (Natova 2019).”
Language, Task and Situation: Authenticity in the Classroom
Beatty, K. (2015) · Journal of language and Education · doi:10.17323/2411-7390-2015-1-1-27-37 · Cited by 10 · cited 4×
“Authenticity has multiple dimensions such as authenticity of text, authenticity of task, including purpose, activities, interaction, suitability and relevance of the language to the target students (Guariento and Morley 2001; Beatty 2015).”
InfluentialAhlan Wa Sahlan: Functional Modern Standard Arabic for Beginners
Kaye, A. S., & Alosh, M. (2002) · Journal of the American Oriental Society · doi:10.2307/3087706 · Cited by 8 · cited 5×
“Ahlan wa Sahlan (henceforth AwS) (Alosh 2006, 2010a, 2010b) In this section, I will fi rst give an overview of the main tool of analysis (the adapted Dutch CEFR Grid) and the textual and linguistic features included in it, quantitative analysis and qualitative analyses.”
InfluentialGutiérrez-Bermúdez, J. F. (2014) · Latin American Journal of Content and Language Integrated Learning · doi:10.5294/laclil.2014.7.1.6 · Cited by 6
Ahlan wa Sahlan: Functional Modern Standard Arabic for Intermediate Learners
Alosh, M., & Clark, A. S. (2013) · Medical Entomology and Zoology · Cited by 5
ASSESSING READABILITY OF A NATIONAL EXAM READING TEXTS IN MALAYSIA
Uri, N. F. M., & Aziz, M. S. A. (2018) · i-manager’s Journal on English Language Teaching · doi:10.46827/ejel.v0i0.2000 · Cited by 3 · cited 8×
“…purpose of this section is to raise teachers ’ awareness of the role of these features rather than employing statistical measurements of target linguistic and textual characteristics, which are typical in readability studies (e.g. Sung et al. 2015; Uchida and Negishi 2018; Uri and Abd Aziz 2018).”
InfluentialMohamed, S. (2021) · Advances in Higher Education and Professional Development · doi:10.4018/978-1-7998-7226-9.ch004 · Cited by 3 · cited 18×
“The current paper builds on the work in Mohamed (2021b) and assesses the reading texts ’ di ffi culty in four popular Arabic textbook series generically classi fi ed as (Beginner, Intermediate, Advanced, etc.).”
InfluentialSelf-citationWightwick, J., & Gaafar, M. (2015) · doi:10.1007/978-1-137-38046-3 · Cited by 3 · cited 1×
“A), book 1-third edition, book 2-fi rst edition (Wightwick and Gaafar 2009, 2015).”
Linguistic feature analysis of cefr labeling reliability and validity in language textbooks
Hong, J. F., Peng, C. Y., Tseng, H. C., & Sung, Y. (2020) · Journal of Technology and Chinese Language Teaching · Cited by 2
Wightwick, J., & Gaafar, M. (2009) · doi:10.1007/978-0-230-36590-2 · Cited by 2 · cited 1×
“A), book 1-third edition, book 2-fi rst edition (Wightwick and Gaafar 2009, 2015).”
Younes, M. A., Weatherspoon, M. G., & Foster, M. S. (2023) · Routledge eBooks · doi:10.4324/9781351029506 · Cited by 2
Research works printed but not linked: 16
- Alderson J. Charles N. Figueras H. Kuijper G. Nold S. Takala and C. Tardieu. 2004. The development of specifications for item development and classification within the common European framework of reference for languages: learning teaching assessment: final report of the Dutch CEF construct project. Paper presented at workshop on research into and with the CEFR University of Amsterdam.
- Alosh, M. 2010b. Ahlan wa Sahlan: Functional Modern Standard Arabic for Beginners. 2nd ed. New Haven: Yale University Press.
- American Council on the Teaching of Foreign Languages [ACTFL]. 2012. ACTFL Proficiency Guidelines. 3rd ed. Alexandria: ACTFL INC.
- Brustad, K., M. Al-Batal, and A. Al-Tonsi. 2004b. Al-Kitaab fii taallum al-arabiyya: A Text for Arabic, Part 1. 2nd ed. Washington, DC: Georgetown University Press.
- Brustad, K., M. Al-Batal, and A. Al-Tonsi. 2006. Al-Kitaab fii taallum al-arabiyya: A Text for Arabic, Part 2. 2nd ed. Washington, DC: Georgetown University Press.
- Brustad, K., M. Al-Batal, and A. Al-Tonsi. 2007. Al-Kitaab fii taallum al-arabiyya: A Text for Arabic, Part 3. 2nd ed. Washington, DC: Georgetown University Press.
- Cambridge University. 2018. How Long Does It Take to Learn a Foreign Language? Cambridge: Cambridge University Press.
- Council of Europe. 2001. Common European Framework of Reference for Languages: Learning, Teaching, Assessment. Cambridge: Cambridge University Press.
- Francois T. and C. Fairon. 2012. An AI readability formula for French as a foreign language. In Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning Jeju Island Korea 12–14 July 466–477.
- Pilan I. 2013. NLP-based approaches to sentence readability for second language learning purposes. Master’s dissertation Gothenburg: University of Gothenburg. file:///C:/Users/55096616/Downloads/NLP_based_Approaches_to_Sentence_Readabi.pdf.
- Pilan I. and E. Volodina. 2018. Investigating the importance of linguistic complexity features across different datasets related to language learning. In Proceedings of the Workshop on Linguistic Complexity and Natural Language Processing Santa Fe New Mexico USA 49–58.
- Pilan I. E. Volodina and T. Zesch. 2016. Predicting proficiency levels in learner writings by transferring a linguistic complexity model from expert-written coursebooks. In Proceedings of the 26th International Conference on Computational Linguistics 2101–2111.
- Renandya, W. A. 2015. Reading in a foreign language: what else is important besides skills and strategies? In Developing Indegenous Models of English Language Teaching and Assessment, eds. F. A. Hamied, I. B. P. Yadnya, and I. G. A. G. Sociowati, 81–94. Bali, Indonesia: Udayana University Press.
- Salamoura, A., and N. Saville. 2010. Exemplifying the CEFR: criterial features of written learner English from the English profile programme. In Communicative Proficiency and Linguistic Development: Intersections Between SLA and Language Testing Research, eds. I. Bartning, M. Martin, and I. Vedder, 101–132. European Second Language Association. www.lulu.com.
- Uchida S. and M. Negishi. 2018. Assigning CEFR-J Levels to English Texts Based on Textual Features. In Fourth Asia Pacific Corpus Linguistics Conference (APCLC 2018) Takamatsu: Japan 463–467.
- Younes, M., and Y. Chami. 2014. Arabiyyat Al-Naas Part Two. New York: Routledge.
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Metadata
- Authors
- Mohamed, S.
- Affiliations
- Manchester Metropolitan University (GB)
- Corresponding author
- Mohamed, Salwa
- ORCID
- Mohamed, Salwa
- Venue
- The Language Learning Journal
- Publisher
- Informa UK Limited
- Published
- 2023-05-26
- Volume
- 52
- Issue
- 6
- Pages
- 629-649
- ISSN
- 0957-1736 (ISSN-L)
- 1753-2167
- OpenAlex
- W4378472039
- Cited by
- 2
- References
- 31
- Citations by year
- 2026: 1 · 2024: 1
- FWCI
- 1.48
- Type
- journal article
- Language
- en
- Open access
- hybrid
- dx.doi.org
- Licence
- public-domain
- creativecommons.org/licenses/by-nc-nd/4.0/ (vor)
- Locations
- Language Learning Journal (publishedVersion, public-domain)
- e-space (Manchester Metropolitan University) (submittedVersion, public-domain)
- Figshare (submittedVersion, cc-by-nc-nd)
- Topics
- Social Sciences › Education › Arabic Language Education Studies
- Social Sciences › Linguistics and Language › Text Readability and Simplification
- Social Sciences › Psychology › Developmental and Educational Psychology › Second Language Acquisition and Learning
- Keywords
- text classification, Arabic language textbooks, text complexity, readability, low-resource languages, textbook adaptation, language teaching materials, Arabic language teaching
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