Representational and Computational Changes in Heritage Language Grammars

IF 0.7
S. Montrul
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引用次数: 3

Abstract

The notion of complexity has been applied to descriptions and comparisons of languages and to explanations related to ease and difficulty of various linguistic phenomena in first and second language acquisition. It has been noted that compared to baseline grammars, heritage language grammars are less complex, displaying morphological simplification and structural shrinking, especially among heritage speakers with lower proficiency in the language. On some recent proposals of gender agreement in Spanish and Norwegian (Fuchs et al., 2015; Lohndal & Putnam, 2020), these differences are representational, affecting the projection of functional categories and feature specifications in the syntax. An alternative possibility is that differences between baseline and heritage grammars arise from computational considerations related to bilingualism, affecting speed of lexical access and feature reassembly online in the minority language. We illustrate this proposal with empirical data from gender agreement and differential object marking. Although presented as alternatives, the representational and computational explanations are not incompatible, and may both be adequate to capture varying levels of variability modulated by linguistic proficiency. These proposals formalize bilingual acquisition models of grammar competition and directly relate the availability and type of input (the acquisition evidence) to the locus and nature of the grammatical differences between heritage and baseline grammars.
传统语言语法的表征和计算变化
复杂性的概念已被应用于语言的描述和比较,以及与第一语言和第二语言习得中各种语言现象的难易程度有关的解释。研究发现,与基线语法相比,传统语言语法的复杂性较低,表现为形态简化和结构萎缩,特别是在语言熟练程度较低的传统语言使用者中。关于最近西班牙语和挪威语性别协议的一些建议(Fuchs et al., 2015;Lohndal & Putnam, 2020),这些差异是代表性的,影响语法中功能类别和特征规范的投影。另一种可能性是,基线和传统语法之间的差异源于与双语相关的计算考虑,影响了少数民族语言的词汇访问速度和在线特征重组。我们用性别协议和差异对象标记的经验数据来说明这一建议。虽然作为替代方案提出,但表征和计算解释并非不相容,并且可能都足以捕捉由语言熟练程度调节的不同水平的可变性。这些建议形式化了语法竞争的双语习得模型,并将输入的可用性和类型(习得证据)与传统语法和基线语法之间的语法差异的位置和性质直接联系起来。
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