Evidence map›Paper›PMID 40490632›Full record

ArticleBehavior research methods2025

Kalimah norms: Ratings for 2,467 modern standard Arabic words on two scales.

Alaa Alzahrani, Wafa Aljuaythin, Hassan Alshumrani, Alaa Mamoun Saleh, Mohamed M Mostafa

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Article in Behavior research methods, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers in PubMed
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2 citing papers in PubMed.

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5 · Who and what money

Authors and funding

5 authors.

Alaa AlzahraniKing Salman Global Academy for Arabic, Riyadh, Saudi Arabia. alzahrani.alaaa@gmail.com.
Wafa AljuaythinDepartment of English, King Saud University, Riyadh, Saudi Arabia.
Hassan AlshumraniThe Applied College, King Abdulaziz University, Jeddah, Saudi Arabia.
Alaa Mamoun SalehKing Abdul Aziz University, Jeddah, Saudi Arabia.
Mohamed M MostafaGulf University for Science and Technology, Kuwait City, Kuwait.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Crowdsourced normative ratings have benefited psycholinguistic research considerably. Yet, Modern Standard Arabic (MSA) has scarce word norms. To address this scarcity, the current study developed and validated the Kalimah norms in two experiments. In experiment 1, 803 native Arabic speakers provided age of acquisition (AOA) and concreteness (CNC) ratings for 2,467 MSA words, a subset of which was lexically ambiguous (N = 60). Correlations with 12 Arabic and international norms established the sufficient validity of the Kalimah norms. We also observed variations in the ratings for the distinct meanings of the same word form. In experiment 2, we show that our crowdsourced norms can be used to validate large language model (LLM)-generated norm ratings for MSA words. Based on this, we obtained LLM-generated CNC ratings for an additional set of 30,000 MSA words. We make both the Kalimah norms and LLM-generated CNC ratings freely available for research purposes.

Indexed as

LanguagePsycholinguisticsAdolescentAdultFemaleHumansMaleYoung AdultAge of acquisitionConcretenessLarge language modelsModern Standard ArabicNorms

Identifiers

PMID40490632

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.