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Lexical Decision Task for Studying Written Word Recognition in Adults with and without Dementia or Mild Cognitive Impairment
Published on: June 25, 2019
Word length and lexical activation: longer is better
1Department of Psychology, Ohio State University, Columbus, OH 43210-1222, USA. pitt.2@osu.edu
Journal of Experimental Psychology. Human Perception and Performance
|September 28, 2006
Summary
Longer words create stronger activation in spoken word recognition models than shorter words. This enhanced activation for long words is more robust and available for longer durations, impacting phoneme identification.
Area of Science:
- Psycholinguistics
- Cognitive Science
- Computational Linguistics
Background:
- Spoken word recognition models often incorporate lexical and sublexical representations.
- Excitatory and inhibitory mechanisms regulate activation levels within these representations.
- Phonetically similar words can create lexical competition through inhibition.
Purpose of the Study:
- To investigate the differential impact of word length on lexical activation and its consequences for spoken word recognition.
- To test the hypothesis that longer words elicit stronger and more sustained lexical activation compared to shorter words.
Main Methods:
- Four experiments were conducted to examine the relationship between word length and spoken word recognition.
- Reaction-time data was analyzed to partition and assess the dynamics of lexical activation.
Main Results:
- Longer words generated stronger lexical activation than shorter words.
- This activation for long words was available earlier and persisted longer.
- Lexical influences on phoneme identification were significantly more robust for long words.
Conclusions:
- Word length is a critical factor influencing the dynamics of lexical activation in spoken word recognition.
- Models of word recognition need to account for word length to accurately capture activation patterns.
- The findings highlight the importance of considering word length for understanding phoneme identification robustness.
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