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Information entropy facilitates (not impedes) lexical processing during language comprehension.

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Lexical entropy, a measure of context uncertainty, facilitates word processing by activating semantic features. This study demonstrates trial-level entropy

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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.