Morphological decomposition in Chinese compound word recognition: Electrophysiological evidence

Brain Lang. 2023 Jun:241:105267. doi: 10.1016/j.bandl.2023.105267. Epub 2023 Apr 28.

Abstract

The present study examined the effect of both morphological complexity and semantic transparency in Chinese compound word recognition. Using a visual lexical decision task, our electrophysiological results showed that transparent and opaque compounds induced stronger Left Anterior Negativity (LAN) than monomorphemic words. This result suggests that Chinese compounds might be decomposed into their constituent morphemes at the lemma level, whereas monomorphemic words are accessed as a whole-word lemma directly from the form level. In addition, transparent and opaque compounds produced a similar N400 as each other, suggesting that transparency did not show an effect on the involvement of constituent morphemes during access to the whole-word lemma. Two behavioral experiments additionally showed similar patterns to the EEG results. These findings support morphological decomposition for compounds at the lemma level as proposed by the full-parsing model, and no evidence is found to support the role of transparency during Chinese compound word recognition.

Keywords: Chinese compound word; EEG; Morphological complexity; Morphological decomposition; Semantic transparency.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Electroencephalography*
  • Evoked Potentials / physiology
  • Humans
  • Language*
  • Semantics
  • Vocabulary*