Aljasser Faisal, Vitevitch Michael S
Department of English Language and Translation, College of Arabic Language and Social Studies, Qassim University, Buraydah, 52571, Saudi Arabia.
Spoken Language Laboratory, Department of Psychology, University of Kansas, 1415 Jayhawk Blvd, Lawrence, KS, 66045, USA.
Behav Res Methods. 2022 Dec;54(6):2740-2749. doi: 10.3758/s13428-021-01713-3. Epub 2022 Jan 10.
The availability of online databases (e.g., Balota et al., 2007) and calculators (e.g., Storkel & Hoover, 2010) has contributed to an increase in psycholinguistic-related research, to the development of evidence-based treatments in clinical settings, and to scientifically supported training programs in the language classroom. The benefit of online language resources is limited by the fact that the majority of such resources provide information only for the English language (Vitevitch, Chan & Goldstein, 2014). To address the lack of diversity in these resources for languages that differ phonologically and morphologically from English, the present article describes an online database to compute phonological neighborhood density (i.e., the number of words that sound similar to a given word) for words and nonwords in Modern Standard Arabic (MSA). A full description of how the calculator can be used is provided. It can be freely accessed at https://calculator.ku.edu/density/about .
在线数据库（如Balota等人，2007年）和计算器（如Storkel和Hoover，2010年）的出现促进了心理语言学相关研究的增加，推动了临床环境中循证治疗方法的发展，并为语言课堂中的科学支持培训项目提供了助力。在线语言资源的益处受到这样一个事实的限制，即大多数此类资源仅提供英语相关信息（Vitevitch、Chan和Goldstein，2014年）。为了解决这些资源在语音和形态上与英语不同的语言方面缺乏多样性的问题，本文介绍了一个在线数据库，用于计算现代标准阿拉伯语（MSA）中单词和非单词的语音邻域密度（即与给定单词发音相似的单词数量）。文中还提供了该计算器使用方法的完整说明。可通过https://calculator.ku.edu/density/about免费访问。
