Subject vs Object Asymmetry in Korean Syntax: Evidence from an ERP Study of Processing Stranded Numeral Classifiers

Subject vs Object Asymmetry in Korean Syntax: Evidence from an ERP Study of Processing Stranded Numeral Classifiers
  • 박명관; 
  • 오은정; 
  • 정원일

초록

This paper investigates the sentence-processing aspects of stranded numeral classifiers (SNCs) in Korean and explores their implications. Building on the previous theoretical and experimental studies of SNCs, particularly concentrating on the subject vs. object asymmetry in SNCs, we hypothesize that subject-related SNCs are not properly licensed syntactically, hence they associate with the adjacent illegitimate NPs. By contrast, object-related SNCs are properly licensed, thus they associate with the distant associate NPs across intervening adjacent NPs. Thus, the former are predicted to give rise to semantic anomaly, whereas the latter are predicted to display priming effects induced by the associate NPs. Furthermore, the former skip the second pass of syntactic reanalysis with the associate NPs after the first pass of semantic incongruence, but the latter do enter into such reanalysis after the first phase of prime effects. In this paper we use the temporal-resolution-wise excellent event-relate potential (ERP) paradigm to test these hypotheses. Subject-related SNCs recorded N400-like negativity at anterior regions, whereas object-related ones registered reduced N400-like negativity at left anterior regions. In addition, the latter additionally evoked P600 at left anterior regions. Taken together, the ERP results confirmed the predictions made above, showing that SNC processing involves the intricate interaction of both semantic and syntactic integration.

키워드

stranded numeral classifier; subject-object asymmetry; numeral classified intervening NP; syntactic/semantic integration
제목
Subject vs Object Asymmetry in Korean Syntax: Evidence from an ERP Study of Processing Stranded Numeral Classifiers
제목 (타언어)
Subject vs Object Asymmetry in Korean Syntax: Evidence from an ERP Study of Processing Stranded Numeral Classifiers
저자
박명관; 오은정; 정원일
DOI
10.15860/sigg.30.3.202008.291
발행일
2020-08
저널명
생성문법연구
권
30
호
3
페이지
291 ~ 313