The effect of corpus size in predicting reaction time in a basic word recognition task: Moving on from Kucera and Francis

被引:109
作者
Burgess, C [1 ]
Livesay, K [1 ]
机构
[1] Univ Calif Riverside, Dept Psychol, Riverside, CA 92521 USA
来源
BEHAVIOR RESEARCH METHODS INSTRUMENTS & COMPUTERS | 1998年 / 30卷 / 02期
关键词
D O I
10.3758/BF03200655
中图分类号
B841 [心理学研究方法];
学科分类号
040201 ;
摘要
Word frequency is one of the strongest determiners of reaction time (RT) in word recognition tasks; it is an important theoretical and methodological variable. The Kucera and Francis (1967) word frequency count (derived from the 1-million-word Brown corpus) is used by most investigators concerned with the issue of word frequency. Word frequency estimates from the Brown corpus were compared with those from a 131-million-word corpus (the HAL corpus; conversational text gathered from Usenet) in a standard word naming task with 32 subjects. RT was predicted equally well by both corpora for high-frequency words, but the larger corpus provided better predictors for low-and medium-frequency words. Furthermore, the larger corpus provides estimates for 97,261 lexical items; the smaller corpus, for 50,406 items.
引用
收藏
页码:272 / 277
页数:6
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