Verb class and instrument PPs: A mixed model analysis
1
조회
0
다운로드
0
인용
0
참고문헌
키워드
초록
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 incorporate native speakers’ lexical knowledge into grammar.
Abstract
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 incorporate native speakers’ lexical knowledge into grammar.
참고문헌 (25)
- Baayen, R. Harald, "Analyzing linguistic data: A practical introduction to statistics using R" (2008), Cambridge University Press
- Bresnan, Joan, "Cognitive Foundations of Interpretation", pp.69~94 (2007), Royal Netherlands Academy of Science
- Bresnan, Joan, "Gradient grammar: An effect of animacy on the syntax of give in New Zealand and American English", Lingua, 118, pp.245~259 (2008)
- Bresnan, Joan, "Predicting syntax: Processing dative constructions in American and Australian varieties of English", Language, 86, pp.168~213 (2010)
- "Architecture and interface by Mark Davies"[URL]
- Carlson, Greg, "Thematic roles and language comprehension", Syntax and Semantics, 21, pp.263~291 (1988), Academic Press
- 최혜원, "Capturing Lexical Variance with a Mixed Model: Verb in Ordering Variation", 담화와 인지, 17(1), pp.113~137 (2010), 담화·인지언어학회
- 최혜원, "The Distinction of Argument and Adjunct as a Gradient Notion", 언어와 정보, 14(1), pp.25~48 (2010), 한국언어정보학회
- 최혜원, "Licensing Instrument Phrases: A Corpus Study of With-PPs in English", 생성문법연구, 21(2), pp.289~310 (2011), 한국생성문법학회
- 최혜원, "A Linear Regressional Analysis of With-PPs in English", 언어연구, 29(1), pp.21~44 (2012), 언어정보연구소
- Fillmore, Charles J., "Universals in Linguistic Theory", pp.1~88 (1968), Holt, Rinehart, and Winston
- hierarchical models, "Data analysis using regression and multilevel", pp.2007, Gelman, Andrew
- Jackendoff, Ray, "X-bar syntax: A study of phrase structure" (1977), The MIT Press
- Johnson, Keith, "Quantitative methods in linguistics" (2008), Blackwell
- Koenig, Jean-Pierre, "Arguments for adjuncts", Cognition, 89, pp.67~103 (2003)
- Kuperman, Victor, "Mixed-effects modeling", Presented at Stanford University, ~ (2009)
- Levin, Beth, "English verb classes and alternations: A preliminary investigation" (1993), University of Chicago Press
- Lorch, Robert F., "Regression analysis of repeated measures data in cognitive research", Journal of Experimental Psychology: Learning, Memory, and Cognition, 16, pp.149~157 (1990)
- Manning, Christopher, "Probabilistic Linguistics", pp.289~314 (2003), The MIT Press
- Marantz, Alec, "On the nature of grammatical relations" (1984), The MIT Press
- Pinheiro, Jose C., "Mixed-effects models in S and S-PLUS. Statistics and Computing" (2000), Springer
- "R: A language and environment for statistical computing" (2016)[URL]
- Schütze, Carson T., "PP attachment and argumenthood", MIT Working Papers in Linguistics, 26, pp.95~151 (1995)
- Schütze, Carson T., "Argumenthood and English prepositional phrase attachment", Journal of Memory and Language, 40, pp.409~431 (1999)
- Szmrecsanyi, Benedikt, "Language users as creature of habit: A corpus-based analysis of persistence in spoken English", Corpus Linguistics and Linguistic Theory, 1, pp.113~150 (2005)