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Compositionality in a Parallel Architecture for Language Processing.

Giosuè Baggio1

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Summary
This summary is machine-generated.

This study challenges traditional views on compositionality in language, suggesting it

Keywords:
CompositionalityLanguage processingParallel architectureSemanticsSyntax

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Area of Science:

  • Cognitive Science
  • Psycholinguistics
  • Neuroscience

Background:

  • Compositionality is a key concept in linguistics and philosophy.
  • Its role in cognitive science is growing but remains debated.

Purpose of the Study:

  • Reassess the principle of compositionality from psycholinguistic and neuroscientific perspectives.
  • Evaluate classic arguments and propose a new competence argument for compositionality.

Main Methods:

  • Review of classic arguments for compositionality.
  • Development of a new competence-based argument.
  • Analysis of cognitive neuroscience findings.
  • Proposal of a dual-stream language processing architecture.

Main Results:

  • Classic arguments for compositionality are insufficient to establish it as a property of human language.
  • A new competence argument is presented, supported by cognitive neuroscience.
  • The brain has processing capacities for compositionality.

Conclusions:

  • Compositionality may be a constraint on syntax-driven language processing.
  • A dual-stream model (syntax-driven and asyntactic) explains semantic representation.
  • Human language processing involves both structured and potentially unstructured semantic generation.