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Related Experiment Video

Updated: Apr 29, 2026

A Bilingual Computational Workflow for Identifying Potential PLK1 Inhibitors in American Sign Language and English
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Lexical access in sign language: a computational model.

Naomi K Caselli1, Ariel M Cohen-Goldberg1

  • 1Department of Psychology, Tufts University Medford, MA, USA.

Frontiers in Psychology
|May 27, 2014
PubMed
Summary
This summary is machine-generated.

This study explores if a single cognitive architecture can explain how both signed and spoken languages are processed. Findings suggest a unified model is possible, integrating sign language specifics like handshape and location.

Keywords:
lexical accessneighborhood densitysign languagesign perceptionspeech perceptionspreading activationsub-lexical processing

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Area of Science:

  • Cognitive Science
  • Psycholinguistics
  • Computational Linguistics

Background:

  • Psycholinguistic theories often rely on spoken language data, limiting generalizability.
  • Lexical access models need to account for modality-specific features in both spoken and signed languages.

Purpose of the Study:

  • To investigate if a unified cognitive architecture can explain lexical access in both signed and spoken languages.
  • To test a spreading activation model adapted for sign language characteristics.

Main Methods:

  • Developed a spreading activation architecture based on Chen and Mirman (2012).
  • Incorporated sign language specific features: time course of perception and sub-lexical unit frequency.
  • Modeled neighborhood density effects in sign language.

Main Results:

  • The elaborated architecture successfully replicated experimental findings in sign language.
  • The model demonstrates that minor adjustments can unify processing principles across modalities.
  • Neighborhood density effects in sign language were explained by handshape and location similarities.

Conclusions:

  • A single cognitive architecture can potentially underlie both sign and spoken language recognition.
  • This research provides a proof of concept for modality-general principles in psycholinguistics.
  • Future research should further explore the integration of modality-specific features into cognitive models.