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Predicting semantic features in Chinese: Evidence from ERPs.

Nayoung Kwon1, Patrick Sturt2, Pan Liu3

  • 1Department of English, Konkuk University, Republic of Korea.

Cognition
|June 23, 2017
PubMed
Summary

Mandarin Chinese classifiers enable early semantic prediction. Mismatched classifiers before predictable nouns elicit an N400 effect, showing noun features are pre-activated before input.

Keywords:
ChineseClassifiersERPsN400PredictionSentence processing

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Area of Science:

  • Psycholinguistics
  • Cognitive Neuroscience
  • Computational Linguistics

Background:

  • Mandarin Chinese nouns require semantically-matching classifiers.
  • Previous research explored semantic prediction using Indo-European languages.

Purpose of the Study:

  • Investigate semantic prediction in Mandarin Chinese using classifiers.
  • Examine pre-activation of noun semantic features before input.

Main Methods:

  • Two event-related potential (ERP) studies.
  • Exploited Mandarin Chinese classifier system for semantic prediction.
  • Analyzed N400 effect in response to classifier-noun mismatches.

Main Results:

  • N400 effect observed for mismatched classifiers preceding predictable nouns.
  • N400 effect was graded, smaller for semantically related mismatches.
  • Demonstrated pre-activation of fine-grained noun semantic features.

Conclusions:

  • Mandarin classifiers facilitate advance semantic processing.
  • Supports theories of predictive language processing.
  • Extends findings on semantic prediction to a non-Indo-European language.