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Area of Science:

  • Cognitive Psychology
  • Computational Linguistics
  • Neuroscience of Language

Background:

  • Word segmentation is a fundamental process in language comprehension.
  • The influence of emotional information on cognitive processes, including language, is an area of active research.
  • Understanding how emotion affects early language processing, like word segmentation, is crucial for a complete model of human cognition.

Purpose of the Study:

  • To investigate the effect of emotional valence (positive/negative) and position on Chinese word segmentation.
  • To determine if individual differences in depression tendencies modulate the impact of emotion on word segmentation.
  • To provide empirical evidence for the role of emotion in early stages of Chinese word processing.

Main Methods:

  • A large-scale, internet-based experiment using an overlapping ambiguous string (OAS) segmentation task.
  • Participants completed the OAS task and the Chinese version of the Beck Depression Inventory-II.
  • Orthogonal manipulation of emotional word valence and position within OAS stimuli.

Main Results:

  • Emotional words (positive and negative) were more likely to be segmented compared to neutral words.
  • The effect of emotional words on segmentation was consistent across participants, irrespective of their depression scores.
  • Segmentation outcomes were influenced by the emotional content of the words, not by depression levels.

Conclusions:

  • Emotion information plays a significant role in Chinese word segmentation.
  • Both positive and negative emotional words gain processing priority over neutral words.
  • These findings offer new insights into the interplay between emotion and language processing, particularly in early segmentation stages.