Affiliation:
1. Department of English Education , Pusan National University , Busan , Republic of Korea
2. Department of Applied Linguistics , Georgia State University , Atlanta , GA , USA
Abstract
Abstract
To date, a growing body of second language (L2) research has investigated linguistic alignment as a pedagogical intervention, focusing on L2 learners’ alignment behaviors in task-based interactions (e.g., Jung, YeonJoo, YouJin Kim & John Murphy. 2017. The role of task repetition in learning word-stress patterns through auditory priming tasks. Studies in Second Language Acquisition 39(2). 319–346; Kim, YouJin, YeonJoo Jung & Stephen Skalicky. 2019. Linguistic alignment, learner characteristics, and the production of stranded prepositions in relative clauses: Comparing FTF and SCMC contexts. Studies in Second Language Acquisition 41(5). 937–969). Linguistic alignment refers to a tendency where one speaker’s utterances align with particular language features of those of the other speaker in dialogue. The current study investigated how L2 speakers’ alignment behaviors differ in natural dialogues between L2-L1 and L2-L2 dyads in terms of language style (i.e., stylistic alignment) and the role of non-linguistic factors in the occurrence of stylistic alignment. The study analyzed a corpus of 360 texts using a computational tool. Results showed that stylistic alignment occurred to a greater extent in the L2-L2 dyad than in the L2-L1 dyad with respect to the word range, word frequency, word imageability, and proportion of bigrams proportion produced by the interlocutors. Furthermore, findings demonstrated the degree of stylistic alignment on each of the four selected lexical features was affected by numerous factors including age, group membership, nonnative speaker status, familiarity between interlocutors, and linguistic distance between L1 and L2. The effect of each factor on stylistic alignment in conversation is discussed in detail.
Subject
Linguistics and Language,Language and Linguistics
Reference70 articles.
1. Adamson, Hugh Douglas & Vera M. Regan. 1991. The acquisition of community speech norms by Asian immigrants learning English as a second language: A preliminary study. Studies in Second Language Acquisition 13(1). 1–22. https://doi.org/10.1017/s0272263100009694.
2. Argamon, Shlomo, Whitelaw Casey, Paul Chase, Sobhan Raj Hota, Navendu Garg & Shlomo Levitan. 2007. Stylistic text classification using functional lexical features. Journal of the American Society for Information Science and Technology 58(6). 802–822. https://doi.org/10.1002/asi.20553.
3. Baayen, Rolf Harald, Doug J. Davidson & Douglas M. Bates. 2008. Mixed-effects modeling with crossed random effects for subjects and items. Journal of Memory and Language 59(4). 390–412. https://doi.org/10.1016/j.jml.2007.12.005.
4. Balcetis, Emily E. & Rick Dale. 2005. An exploration of social modulation of syntactic priming. In Proceedings of the annual meeting of the cognitive science society, vol. 27. https://escholarship.org/uc/item/0kn388rj (accessed 17 December 2019).
5. Bates, Douglas M., Martin Maechler, Ben Bolker & Steven Walker. 2015. lme4: Linear mixed-effects models using Eigen and S4_. R package version 1.1-9. https://CRAN.R-project.org/package=lme4 (accessed 5 September 2019).