网络科学揭示了 L1 词汇损耗的早期迹象:词汇损耗基础(LeAF)框架介绍

IF 2.5 1区 文学 Q1 LINGUISTICS
Adel Chaouch-Orozco, Fernando Martín-Villena
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引用次数: 0

摘要

L1 词汇损耗是指由于 L1 接触减少和/或 L2 干扰导致 L1 词汇-语义能力下降。语义流畅性任务是这项研究的核心,但传统的分析往往没有结论。为了解决这个问题,我们采用了一种创新的网络科学方法来研究二语词典的结构特性。语义流畅性数据收集自具有可比第二语言能力的浸入式/非浸入式后期二语者。我们的研究结果表明,二语浸入式学习使二语网络更加整合和高效。最重要的是,浸入也会导致 L1 的损耗(仅在网络分析中明显)。浸入式学习者的 L1 网络连接更少、更疏。此外,网络测量结果表明,L1 词汇的损耗是逐渐发生的,最初会影响网络的互联性,而信息流和社群结构则会保持稳定。根据这些见解,我们提出了词汇损耗基础(LeAF)框架,为词汇损耗的发展提供了一个基于网络的视角,并为未来的研究奠定了基础。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Network science reveals the early signs of L1 lexical attrition: Introducing the Lexical Attrition Foundation (LeAF) framework
L1 lexical attrition is the decline of L1 lexical-semantic abilities due to reduced L1 exposure and/or L2 interference. Semantic fluency tasks are central in this research, but traditional analyses are often inconclusive. To address this, we employed an innovative network science approach to investigate the bilingual lexicon's structural properties. Semantic fluency data were collected from immersed/non-immersed late bilinguals with comparable L2 proficiencies. Our results indicate that L2 immersion led to more integrated and efficient L2 networks. Crucially, immersion also resulted in L1 attrition (only evident in the network analysis). Immersed participants exhibited less densely connected and sparser L1 networks. Furthermore, network measures suggest that L1 lexical attrition occurs gradually, initially impacting network interconnectivity, while information flow and community structure remain more stable. Drawing from these insights, we introduce the Lexical Attrition Foundation (LeAF) framework, offering a network-based perspective on lexical attrition development and laying the groundwork for future research.
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来源期刊
CiteScore
8.90
自引率
16.70%
发文量
86
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