卡利玛规范:在两个尺度上对2467个现代标准阿拉伯语单词进行评级。

IF 4.6 2区 心理学 Q1 PSYCHOLOGY, EXPERIMENTAL
Alaa Alzahrani, Wafa Aljuaythin, Hassan Alshumrani, Alaa Mamoun Saleh, Mohamed M Mostafa
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引用次数: 0

摘要

众包标准评分对心理语言学研究大有裨益。然而,现代标准阿拉伯语(MSA)缺乏词汇规范。为了解决这种稀缺性,本研究在两个实验中开发并验证了Kalimah规范。在实验1中,803名母语为阿拉伯语的人提供了2467个MSA单词的习得年龄(AOA)和具体程度(CNC)评分,其中一个子集是词汇歧义的(N = 60)。与12项阿拉伯和国际准则的相互关系确定了卡利玛准则的充分有效性。我们还观察到,对同一词形的不同含义的评分存在差异。在实验2中,我们展示了我们的众包规范可以用来验证大型语言模型(LLM)生成的MSA单词的规范评级。在此基础上,我们获得了另外一组30,000个MSA单词的llm生成的CNC评级。我们将Kalimah规范和llm生成的CNC评级免费提供给研究目的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Kalimah norms: Ratings for 2,467 modern standard Arabic words on two scales.

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.

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来源期刊
CiteScore
10.30
自引率
9.30%
发文量
266
期刊介绍: Behavior Research Methods publishes articles concerned with the methods, techniques, and instrumentation of research in experimental psychology. The journal focuses particularly on the use of computer technology in psychological research. An annual special issue is devoted to this field.
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