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Related Concept Videos

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Multiple comparison test, abbreviated as MCT, is a post hoc analysis generally performed after comparing multiple samples with one or more tests. An MCT will help identify a significantly different sample among multiple samples or a factor among multiple factors.
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Semantic feature norms: a cross-method and cross-language comparison.

Sasa L Kivisaari1, Annika Hultén2, Marijn van Vliet2

  • 1Department of Neuroscience and Biomedical Engineering, Aalto University, School of Science, PO Box 12200, FI-00076, Espoo, Finland. sasa.kivisaari@aalto.fi.

Behavior Research Methods
|December 20, 2023
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Summary

This study compares behavioral and corpus-based semantic norms in Finnish and English. Results show both methods largely agree for concrete objects, validating corpus norms for easier semantic analysis.

Keywords:
Behavioral normsSemantic featuresText corpora

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Area of Science:

  • Cognitive Science
  • Linguistics
  • Computational Linguistics

Background:

  • Assigning meaning to stimuli is fundamental to human behavior and language.
  • Semantic feature vectors are typically derived from behavioral production norms or corpus statistics.
  • The influence of data collection methods and language on semantic representations is not well understood.

Purpose of the Study:

  • To compare behavioral and corpus-based semantic norms across Finnish and English.
  • To assess the influence of data collection methods on semantic feature vectors.
  • To validate the use of corpus-derived norms for semantic research.

Main Methods:

  • Developed new Finnish behavioral production norms for abstract and concrete concepts.
  • Employed an all-to-all comparison approach between behavioral and corpus-based norms.
  • Analyzed semantic feature vectors derived from both methods across two languages.

Main Results:

  • Behavioral and corpus-based norms yield largely similar semantic information for concrete objects.
  • Item-level mapping is feasible across different norm sets.
  • Differences in semantic representations are minimal for concrete concepts.

Conclusions:

  • Corpus-derived norms are a valid and more accessible alternative to labor-intensive behavioral norms for many semantic studies.
  • The choice of norm collection method has limited impact on semantic representations of concrete objects.
  • Future research can leverage corpus norms for large-scale semantic analyses.