Morphological decomposition in Chinese compound word recognition: Electrophysiological evidence
Fecha
2023Autor
Wei, Yanjun
Niu, Ying
Taft, Marcus
Carreiras, Manuel
Metadatos
Mostrar el registro completo del ítem
Yanjun Wei, Ying Niu, Marcus Taft, Manuel Carreiras, Morphological decomposition in Chinese compound word recognition: Electrophysiological evidence, Brain and Language, Volume 241, 2023, 105267, ISSN 0093-934X, https://doi.org/10.1016/j.bandl.2023.105267
Brain and Language
Brain and Language
Resumen
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 wholeword 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.