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Information entropy facilitates (not impedes) lexical processing during language comprehension
Hossein Karimi1, Pete Weber2, Jaden Zinn2
1Department of Psychology, Mississippi State University, 215 Magruder Hall, Mississippi State, MS, USA. h.karimi@msstate.edu.
Psychonomic Bulletin & Review
|February 16, 2024
Summary
Lexical entropy, a measure of context uncertainty, facilitates word processing by activating semantic features. This study demonstrates trial-level entropy
Area of Science:
- Cognitive Psychology
- Psycholinguistics
- Neuroscience
Background:
- Contextual predictability aids word identification, but the role of context uncertainty (lexical entropy) in sentence processing remains debated.
- High entropy contexts may cause interference from lexical competitors or facilitate processing via preactivation of semantic features.
Purpose of the Study:
- To investigate whether trial-level lexical entropy, reflecting individual knowledge, has facilitatory or inhibitory effects on sentence processing.
- To compare trial-level entropy with traditional item-level measures of lexical predictability.
Main Methods:
- 112 participants completed two sessions: one producing sentence completions (N=647) to calculate trial-level entropy, and another reading sentences with target words while reading times were measured.
- Trial-level entropy was calculated based on participant-generated completions for each specific context.
Main Results:
- Trial-level entropy demonstrated a facilitatory effect on lexical processing, independent of item-level predictability measures like cloze probability and surprisal.
- Greater semantic overlap between target words and produced completions further enhanced this facilitatory effect.
Conclusions:
- Lexical prediction involves the broad activation of semantic features rather than specific lexical forms, supporting predictive coding theories.
- Trial-level entropy is a more sensitive and valid measure for understanding the impact of context uncertainty on language processing.
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