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Language and Cognition01:27

Language and Cognition

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Language serves as a bridge between ideas and communication, influencing how individuals perceive and interact with the world. Psychologists have long debated whether language shapes thought or vice versa. This discussion gained grip with Edward Sapir and Benjamin Lee Whorf in the 1940s, who proposed that language determines thought, a concept known as linguistic determinism. They suggested that the vocabulary and structure of a language influence how its speakers think and perceive reality.
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Lateralization01:28

Lateralization

340
Brain lateralization refers to the division of mental processes and functions between the two hemispheres of the brain, a phenomenon that optimizes neural efficiency and underpins complex abilities in humans. This specialization allows each hemisphere to perform tasks where it has a comparative advantage, facilitating more refined cognitive capabilities across different domains.
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Augmenting Large Language Models via Vector Embeddings to Improve Domain-Specific Responsiveness
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Lingualyzer: A computational linguistic tool for multilingual and multidimensional text analysis.

Guido M Linders1,2, Max M Louwerse3

  • 1Department of Cognitive Science & Artificial Intelligence, Tilburg University, Tilburg, Netherlands. guido.linders@uzh.ch.

Behavior Research Methods
|November 29, 2023
PubMed
Summary

Lingualyzer is a new, free tool providing 351 linguistic measures across 41 languages for cross-linguistic research. It supports behavioral scientists lacking computational expertise, enabling text analysis at sentence, paragraph, and document levels.

Keywords:
Computational linguisticsCross-linguisticMultilingualQuantitative linguisticsText analysis

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Area of Science:

  • Computational linguistics
  • Behavioral sciences
  • Interdisciplinary research

Background:

  • Existing natural language processing tools are predominantly English-centric.
  • Limited computational linguistic resources are available for non-English languages and cross-linguistic comparisons.
  • Researchers in behavioral and interdisciplinary fields often lack the computational expertise for advanced text analysis.

Purpose of the Study:

  • To introduce Lingualyzer, a freely accessible, multilingual text analysis tool.
  • To provide researchers with an easy-to-use interface for computational linguistic analysis.
  • To support cross-linguistic research in behavioral and related sciences.

Main Methods:

  • Development of Lingualyzer, a web-based platform.
  • Inclusion of 351 multidimensional linguistic measures.
  • Support for text analysis across 41 languages at sentence, paragraph, and document levels.

Main Results:

  • Lingualyzer offers a comprehensive suite of linguistic measures.
  • The tool is accessible via an intuitive, user-friendly interface.
  • Validation studies demonstrate the tool's efficacy.

Conclusions:

  • Lingualyzer bridges the gap in computational linguistic tools for non-English languages.
  • It empowers researchers without programming skills to conduct sophisticated text analysis.
  • Facilitates cross-linguistic research and interdisciplinary collaboration.