A dataset of subjective frequency estimates of the words of the peabody vocabulary test by Arabic-English bilingual speakers.

IF 1 Q3 MULTIDISCIPLINARY SCIENCES
Data in Brief Pub Date : 2024-10-22 eCollection Date: 2024-12-01 DOI:10.1016/j.dib.2024.111056
Maura Pilotti, Arifi M Waked, Alaa Mahmoud, Hams Hashim, Dana Alzahid
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引用次数: 0

Abstract

A data set was developed for research on word recognition and comprehension as well as for vocabulary knowledge estimation of Arabic-English bilingual speakers (i.e., an understudied population). Subjective frequency (i.e., familiarity) ratings, which reflect language exposure, were collected from 1000 Arabic-English speakers (age range: 18-25) for the printed words of the Peabody Picture Vocabulary Test (PPVT). They were obtained from speakers who had received at least a score of 6 (i.e., competent user of the English language) on the International English Language Testing System (i.e., IELTS). Reading comprehension scores were also obtained from 61 speakers from the same population. In the developed data set, printed words are displayed with their subjective frequency ratings and comprehension scores alongside objective word properties.

阿拉伯语-英语双语者对皮博迪词汇测试单词主观频率估计的数据集。
我们为阿拉伯语-英语双语使用者(即未被充分研究的人群)的单词识别和理解研究以及词汇知识评估开发了一套数据。我们收集了 1000 名阿拉伯语-英语使用者(年龄范围:18-25 岁)对皮博迪图画词汇测试(Peabody Picture Vocabulary Test,PPVT)印刷单词的主观频率(即熟悉程度)评分,这些评分反映了语言接触情况。他们都是在国际英语语言测试系统(即雅思)中至少获得 6 分(即英语语言的合格使用者)的人。阅读理解得分也是从同一人群中的 61 位发言者那里获得的。在开发的数据集中,印刷单词的主观词频评级和理解分数与客观单词属性一起显示。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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