L1 transfer and input demand in contact-driven syntactic change

IF 1.1 3区 文学 0 LANGUAGE & LINGUISTICS
Devyani Sharma
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引用次数: 0

Abstract

Studies of New Englishes often examine contact-based change by comparing the two language systems involved, to see if feature x from the substrate language appears in the contact variety. In this article I show that this approach is incomplete. Looking across a bilingual cline of Indian English speakers, I show that only some substrate features have stabilized across the whole population, and that a different subset of the same features has stabilized in Singapore English. L1 transfer alone cannot account for this difference; it over-predicts change. I focus on a different hallmark of postcolonial Englishes—diminishing input from the original colonial English variety—and show the need for a further factor, input demand: the amount of input needed to acquire an L2 syntactic form given a specific L1. The relative strength of the two factors is then assessed in a four-way typology of syntactic changes. Both are instrumental in long-term stable outcomes, but substrate type appears to sometimes place hard limits on aspects of learnability regardless of input. The study demonstrates the importance of key constructs in Second Language Acquisition theory for the study of long-term contact-driven language change.
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来源期刊
Lingua
Lingua Multiple-
CiteScore
2.50
自引率
9.10%
发文量
93
审稿时长
24 weeks
期刊介绍: Lingua publishes papers of any length, if justified, as well as review articles surveying developments in the various fields of linguistics, and occasional discussions. A considerable number of pages in each issue are devoted to critical book reviews. Lingua also publishes Lingua Franca articles consisting of provocative exchanges expressing strong opinions on central topics in linguistics; The Decade In articles which are educational articles offering the nonspecialist linguist an overview of a given area of study; and Taking up the Gauntlet special issues composed of a set number of papers examining one set of data and exploring whose theory offers the most insight with a minimal set of assumptions and a maximum of arguments.
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