Verb class and instrument PPs: A mixed model analysis
- 주제(키워드) BYU-BNC , Corpus , Fixed variable , Instrument PP , Linear regression , Mixed model , Mixed-effects model , Random variable , Verb class , With
- 등재 SCOPUS, KCI등재
- 발행기관 Institute for the Study of Language and Information
- 발행년도 2017
- URI http://www.dcollection.net/handler/ewha/000000155975
- 본문언어 영어
- Published As http://dx.doi.org/10.17250/khisli.34.2.201706.001
- 저작권 이화여자대학교 논문은 저작권에 의해 보호받습니다.
초록/요약
This paper investigates whether a lexical variance caused by verbs influences the choice and frequency of instrument with-PPs. The corpus data shows that observations grouped by verb class demonstrate systematically different behaviors and this individual variance of verb classes can be captured by means of a random effect of a mixed-effects model. Building up on Choi's (2012) research that identifies the syntactic, semantic, and morphological factors that influence the presence of instrument with-PPs as fixed effects, the current study classifies the instrument-taking verbs into verb classes, based on Levin's (1993) study, and builds a mixed-effects model taking verb class as a random variable. The new statistical technique of hierarchical, multi-level, mixed-effects modeling (Baayen 2008; Bresnan et al. 2007; Gelman and Hill 2007; Johnson 2008; Kuperman 2009; Pinheiro and Bates 2000) can process across-word fixed effects and by-word random effects together. By taking into consideration the subtle syntactic and semantic characteristics of verbs, this new modeling analysis provides a way to incorporatenative speakers' lexical knowledge into grammar.
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