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Estimating Emotions Through Language Statistics and Embodied Cognition.

Richard Tillman1, Max Louwerse2

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Language processing may not always require perceptual simulation. Instead, language statistics can explain how we understand emotion words, challenging embodied cognition theories.

Keywords:
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Area of Science:

  • Cognitive Science
  • Psycholinguistics
  • Computational Linguistics

Background:

  • The embodied cognition theory suggests language processing involves perceptual simulations.
  • Recent research indicates language statistics might also explain these findings.
  • The role of language statistics versus embodied cognition in emotion word comprehension is unclear.

Purpose of the Study:

  • To investigate whether embodied cognition or language statistics better explain the comprehension of emotion words.
  • To test if the co-occurrence frequency of emotion words influences processing.
  • To differentiate between linguistic and perceptual simulation accounts.

Main Methods:

  • Corpus linguistic analysis of emotion word co-occurrence frequencies.
  • Two experiments using same-emotion and different-emotion sentence pairs.
  • Reaction time (RT) measurements in tasks targeting linguistic and embodied representations.

Main Results:

  • Words for similar emotions (e.g., happy-delighted) co-occur more frequently than words for different emotions (e.g., happy-angry).
  • Participants exhibited longer reaction times (RTs) for sentence pairs with different emotions compared to same-emotion pairs.
  • This effect was observed in both linguistic and embodied representation tasks.

Conclusions:

  • Language statistics, specifically word co-occurrence, can explain findings previously attributed to embodied cognition.
  • Emotion word comprehension may rely on learned linguistic patterns rather than solely on perceptual simulations.
  • This research contributes to understanding the mechanisms underlying language processing and its relationship with perception.