Integrating fluency and prosody into multidimensional analysis

IF 1.1 0 LANGUAGE & LINGUISTICS
S. Staples, Karin Puga
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引用次数: 0

Abstract

Investigation of the characteristics of spoken learner language has increased in recent years but has been primarily limited to the investigation of one linguistic level (e.g., lexico-grammar), which gives a limited picture of learners’ overall linguistic competence (e.g., Skarnitzl & Rumlová, 2019). In this study, we investigate lexico-grammar, fluency, and prosody in LINDSEI (German, Czech, and Spanish) alongside British and American English comparable corpora, using multidimensional analysis, a statistical procedure that identifies co-occurring linguistic features and leads to functional interpretation of the discourse. Results show significant differences between L1 and L2 groups on four of six dimensions and reveal novel patterns of co-occurrence. Dimension 1, for example, identifies correlates of informationally driven discourse on all three linguistic levels under investigation. These findings show the importance of including multiple linguistic levels in the analysis of learner discourse and have implications for a more holistic and functionally based approach to language instruction.
将流畅性和韵律融入多维分析
近年来,对口语学习者语言特征的调查有所增加,但主要局限于对一个语言层面(例如词汇语法)的调查,这对学习者的整体语言能力提供了有限的了解(例如,Skarnitzl & rumlov, 2019)。在这项研究中,我们研究了LINDSEI(德语、捷克语和西班牙语)以及英国和美国英语可比语料库中的词汇语法、流利性和韵律,使用多维分析,这是一种识别共同发生的语言特征并导致话语功能解释的统计程序。结果显示,L1组和L2组在6个维度中的4个维度上存在显著差异,并揭示了共同发生的新模式。例如,维度1确定了被调查的所有三个语言层面上信息驱动话语的相关性。这些发现表明了在分析学习者语篇时包括多个语言层次的重要性,并对更全面和基于功能的语言教学方法具有启示意义。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
CiteScore
3.40
自引率
27.30%
发文量
0
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