Affiliation:
1. School of Foreign Languages, Tongji University , Shanghai , China
2. Department of Linguistics , Zhejiang University , Hangzhou , China
3. Center for Linguistics and Applied Linguistics, Guangdong University of Foreign Studies , Guangzhou , China
Abstract
Abstract
This paper investigates the effects of 10 factors on the choice between alternative ba sentences and SVO sentences in Mandarin Chinese. These factors are givenness, definiteness, animacy and pronominality of NP2s, NP2 length, VP length, verb sense, syntactic parallelism, dependency distance, and surprisal. Using corpus data and mixed-effects logistic regression modeling, we find that on the one hand, givenness, syntactic parallelism, and the log-transformed ratio of NP2 length and VP length are significant predictors of the choice between ba sentences and SVO sentences. A new NP2, a large length ratio and a parallel construction predict an SVO sentence rather than a ba sentence. On the other hand, dependency distance and surprisal estimated by the trigram model are effective in predicting the choice between naturally occurring ba/SVO sentences and their alternatives. Naturally occurring sentences are more likely to have shorter dependency distances and smaller surprisal values than the converted sentences. The effects of these five factors on syntactic choice are congruent with results of previous studies, which suggests that some determinants of syntactic choice are shared among languages.
Subject
Linguistics and Language,Developmental and Educational Psychology,Language and Linguistics
Reference95 articles.
1. Arnold, Jennifer E., Losongco Anthony, Thomas Wasow & Ginstrom Ryan. 2000. Heaviness vs. newness: The effects of structural complexity and discourse status on constituent ordering. Language 76(1). 28–55. https://doi.org/10.1353/lan.2000.0045.
2. Barrouillet, Pierre, Sophie Bernardin & Valerie Camos. 2004. Time constraints and resource sharing in adults’ working memory spans. Journal of Experimental Psychology: General 133(1). 83–100. https://doi.org/10.1037/0096-3445.133.1.83.
3. Bates, Douglas, Martin Mächler, Bolker Ben & Steven Walker. 2011. lme4: Linear mixed-effects models using S4 classes. Available at: https://cran.r-project.org/package=lme4 (accessed January 2021).
4. Bates, Douglas, Reinhold Kliegl, Shravan Vasishth & Harald Baayen. 2015. Parsimonious mixed models. https://arxiv.org/abs/1506.04967 (accessed January 2021).
5. Bernaisch, Tobias, Stefan Th. Gries & Joybrato Mukherjee. 2014. The dative alternation in South Asian English (es): Modelling predictors and predicting prototypes. English World-Wide 35(1). 7–31. https://doi.org/10.1075/eww.35.1.02ber.
Cited by
9 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献