Cross-linguistic differences in predicting L2 sentence structure: The use of categorical and gradient verb constraints

Author:

Şafak Duygu F.ORCID,Hopp HolgerORCID

Abstract

AbstractThis study investigates whether cross-linguistic differences affect how adult second language (L2) learners use different types of verb subcategorization information for prediction in real-time sentence comprehension. Using visual world eye-tracking, we tested if first language (L1) German and L1 Turkish intermediate-to-advanced learners of L2 English make use of categorical and gradient probabilistic selectional information of ditransitive verbs to predict whether the verbs would be followed by prepositional-object or double-object dative constructions. L1 German learners used both categorical (“pay/*donate the woman the money”) and gradient (“pay/#send the woman the money”) constraints for prediction in a target-like manner. In contrast, L1 Turkish learners were delayed in recruiting categorical verb information and were only selectively sensitive to gradient verb information. We argue that target-like predictive processing across categorical and gradient verb information is attainable for L2 learners, but differences in L1-L2 word order may curtail the utility of prediction by verb subcategorization information in L2 processing.

Publisher

Cambridge University Press (CUP)

Subject

Linguistics and Language,Language and Linguistics,Education

Reference53 articles.

1. Scheepers, C. , Williams, R. S. , Mohr, S. , Arai, M. , & van Gompel, R. P. G. (2007, March 29–31). Sometimes it’s better to donate than to give: Syntactic projections in on-line sentence comprehension [Poster presentation]. Twentieth Annual CUNY Conference on Human Sentence Processing, San Diego, United States.

2. Random effects structure for confirmatory hypothesis testing: Keep it maximal;Barr;Journal of Memory and Language,2013

3. Predicting upcoming information in native-language and non-native-language auditory word recognition;Dijkgraaf;Bilingualism: Language and Cognition,2017

4. Dink, J. W. , & Ferguson, B. (2015). eyetrackingR: An R library for eye-tracking data analysis [Computer software]. R Foundation for Statistical Computing. http://www.eyetrackingr.com

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