Passive vocabulary size and speed of meaning recognition: are they related?

B. Laufer, P. Nation
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引用次数: 57

Abstract

This paper examines the relationship between fluency and vocabulary size, and also between fluency and word frequency level. Fluency was operationalised as the time learners need to recognize meanings of words sampled from different frequency levels. It was measured by a computerised vocabulary recognition speed test (VORST). The test was given to 488 native and non-native speakers who were divided by vocabulary size into four groups. The four groups were compared on speed of response to the 3000 level and University Word List (UWL) words. Speed was also correlated with vocabulary size. Additionally, response times to different frequency levels were compared for each subject. Results suggest that speed of retrieval is moderately related to vocabulary size and word frequency. Non-native speakers’ increase in speed lags behind increase in vocabulary size. Non-native speakers also respond more slowly to less frequent words. Responses of native speakers, on the other hand, are more homogeneous across subjects and across vocabulary frequencies. Speed of retrieval cannot be fully predicted from vocabulary knowledge and therefore speed tests should supplement tests of vocabulary size and depth.
被动词汇量与意义识别速度:是否相关?
本文研究了流利度与词汇量之间的关系,以及流利度与词频水平之间的关系。流利度被操作化为学习者识别从不同频率水平采样的单词的含义所需的时间。它是通过计算机词汇识别速度测试(VORST)来测量的。这项测试对488名母语和非母语人士进行了测试,他们按词汇量大小分为四组。比较四组学生对3000级词汇和大学词汇表词汇的反应速度。语速也与词汇量有关。此外,还比较了每个受试者对不同频率水平的反应时间。结果表明,检索速度与词汇量和词频呈正相关。非母语人士的语速增长滞后于词汇量的增长。非母语人士对使用频率较低的单词的反应也较慢。另一方面,母语人士的反应在不同的科目和不同的词汇频率上更为均匀。从词汇知识中无法完全预测检索速度,因此速度测试应该作为词汇量和深度测试的补充。
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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