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The Temporal Dynamics of the Labeling Algorithm During Natural Language Comprehension: Neural Evidence for Phrase
Zhenghui Sun1,2, Feipeng Chen1, Shaodong Gui3
1School of Linguistic Sciences and Arts, Jiangsu Normal University, Xuzhou, China.
Neurobiology of Language (Cambridge, Mass.)
|July 23, 2026
Summary
This study reveals that the brain
Area of Science:
- Neuroscience
- Linguistics
- Cognitive Science
Background:
- Language processing involves hierarchical phrase formation.
- The neural basis of phrase type generation (labeling) is poorly understood.
- Previous research focused on syntax, neglecting the syntax-semantics interface.
Purpose of the Study:
- Investigate the neural basis and temporal dynamics of the labeling algorithm.
- Examine how phrase types are generated at the syntax-semantics interface.
- Challenge syntax-first models of language processing.
Main Methods:
- Developed the Head-Anchored Labeling Manipulation approach.
- Used dual-category words (noun-verb) as heads in modifier-head constructions.
- Analyzed electroencephalography (EEG) data using representational similarity analysis.
Main Results:
- Labeling representations emerged early (~200 ms) and persisted.
- Labeling dynamically linked syntax to conceptual-semantic systems.
- Early labeling engagement challenges syntax-first models, supporting parallel interactive accounts.
- Late brain potentials reflected difficulties integrating semantics with syntax.
Conclusions:
- Labeling dynamically generates phrase types by identifying constituent heads.
- Electrophysiological evidence clarifies the temporal dynamics of labeling.
- Findings support parallel interactive models of language comprehension.
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