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Responding to nonwords in the lexical decision task: Insights from the English Lexicon Project
Melvin J Yap1, Daragh E Sibley2, David A Balota3
1Department of Psychology, National University of Singapore.
Journal of Experimental Psychology. Learning, Memory, and Cognition
|October 21, 2014
Summary
This study reveals how nonword characteristics like length and word frequency affect lexical decision tasks. Higher vocabulary knowledge influences sensitivity to these nonword features, offering insights into word recognition models.
Area of Science:
- Cognitive Psychology
- Psycholinguistics
- Computational Linguistics
Background:
- Statistical word properties influence lexical processing.
- The impact of lexical variables on nonword decision-making is less understood.
- Understanding nonword responses offers insights into early lexical processes.
Purpose of the Study:
- Investigate psycholinguistic variables influencing nonword lexical decision performance.
- Explore individual differences in nonword response patterns.
- Inform computational models of word recognition.
Main Methods:
- Item-level and participant-level analyses of lexical decision data.
- Utilized trial-level data for nearly 37,000 nonwords from the English Lexicon Project.
- Employed regression analyses to identify significant predictors of nonword responses.
Main Results:
- Nonword response time correlated positively with length, orthographic neighbors, affixes, and base-word syllables.
- Response time correlated negatively with Levenshtein distance and base-word frequency.
- Higher vocabulary knowledge showed differential sensitivity to nonword features.
Conclusions:
- Nonword characteristics significantly predict lexical decision performance.
- Individual differences, particularly vocabulary knowledge, modulate responses to nonwords.
- Findings provide constraints for computational models of word recognition and lexical decision.
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