Alzahrani Alaa
, Riyadh, Saudi Arabia.
Behav Res Methods. 2025 Feb 19;57(3):98. doi: 10.3758/s13428-025-02612-7.
The majority of neighborhood calculators are restricted to one language. The limited availability of multilingual neighborhood calculators could pose challenges for conducting psycholinguistic research on low-resource languages. Therefore, this study introduced Jiwar, a database and calculator for neighborhood information across three levels (orthographic, phonological, and phonographic) across 40 languages. The database contains information for 24 linguistic and neighborhood measures, while the Python-based calculator allows users to compute more than 46 neighborhood measures for words and nonwords. This study further examined the Jiwar calculator's instrument reliability and validity. Correlations with previous datasets across several languages suggested the strong reliability of two key Jiwar measures. Multiple-linear regression models revealed that a subset of Jiwar measures significantly predicted behavioral results in lexical decision and visual naming tasks, indicating the validity of the Jiwar calculator. Jiwar is an open-source, Python-based tool that is designed to expand to more languages and functions.
大多数邻域计算器仅限于一种语言。多语言邻域计算器的可用性有限,这可能给对资源匮乏语言进行心理语言学研究带来挑战。因此,本研究引入了Jiwar,这是一个涵盖40种语言、三个层面(正字法、音系学和语音学)邻域信息的数据库和计算器。该数据库包含24种语言和邻域测量的信息,而基于Python的计算器允许用户计算单词和非单词的46种以上邻域测量。本研究进一步检验了Jiwar计算器的工具可靠性和有效性。与多种语言先前数据集的相关性表明Jiwar两个关键测量具有很强的可靠性。多元线性回归模型显示,Jiwar测量的一个子集显著预测了词汇判断和视觉命名任务中的行为结果,表明Jiwar计算器的有效性。Jiwar是一个基于Python的开源工具,旨在扩展到更多语言和功能。