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Responding to Nonwords in the Lexical Decision Task: Insights from the English Lexicon Project

机译:词汇决策任务中对非单词的响应:来自英语词典项目的见解

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摘要

Researchers have extensively documented how various statistical properties of words (e.g., word-frequency) influence lexical processing. However, the impact of lexical variables on nonword decision-making performance is less clear. This gap is surprising, since a better specification of the mechanisms driving nonword responses may provide valuable insights into early lexical processes. In the present study, item-level and participant-level analyses were conducted on the trial-level lexical decision data for almost 37,000 nonwords in the English Lexicon Project in order to identify the influence of different psycholinguistic variables on nonword lexical decision performance, and to explore individual differences in how participants respond to nonwords. Item-level regression analyses reveal that nonword response time was positively correlated with number of letters, number of orthographic neighbors, number of affixes, and baseword number of syllables, and negatively correlated with Levenshtein orthographic distance and baseword frequency. Participant-level analyses also point to within- and between-session stability in nonword responses across distinct sets of items, and intriguingly reveal that higher vocabulary knowledge is associated with less sensitivity to some dimensions (e.g., number of letters) but more sensitivity to others (e.g., baseword frequency). The present findings provide well-specified and interesting new constraints for informing models of word recognition and lexical decision.
机译:研究人员已广泛记录了单词的各种统计属性(例如单词频率)如何影响词汇处理。但是,词汇变量对非单词决策性能的影响尚不清楚。这个差距是令人惊讶的,因为更好地规范驱动非单词响应的机制可能会提供对早期词汇过程的宝贵见解。在本研究中,对英语词典项目中将近37,000个非单词的试验级词汇决策数据进行了项目级和参与者级分析,以便确定不同心理语言变量对非单词词汇决策绩效的影响,并探索参与者在回答非单词方面的个体差异。项级回归分析显示,非单词响应时间与字母数量,正字邻居数量,词缀数量和音节基词数量呈正相关,与Levenshtein拼字距离和基词频率呈负相关。参与者级别的分析还指出了跨不同项目集的非单词响应中的会话内和会话间稳定性,并且有趣地表明,词汇知识越高,对某些维度(例如,字母数量)的敏感性越低,而对其他维度的敏感性越高(例如,基本字频率)。目前的发现为通知单词识别和词汇决策模型提供了规范的,有趣的新约束。

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