Modelling Second Language Performance: Integrating Complexity, Accuracy, Fluency, and Lexis

Modelling Second Language Performance: Integrating Complexity, Accuracy, Fluency, and Lexis
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第二语言表现建模:集成复杂性、准确性、流畅性和词汇

DOI:
10.1093/applin/amp047
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发表时间:
2009
影响因子:
3.6
通讯作者:
P. Skehan
P. Skehan
中科院分区:
人文科学2区
文献类型:
--
作者:
P. Skehan

文献摘要

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复杂性、准确性和流畅性已被证明是衡量第二语言表现的有用标准。本文将重新审视这些衡量标准本身,认为如果要有效地衡量流利性,就需要重新考虑流利性,并且需要通过词汇使用的衡量来补充这三个一般的衡量标准。在此讨论的基础上,综述了这些措施之间的相互关系,特别是准确性和复杂性之间的关系,因为这两个领域之间的正相关性在文献中不太常见。本文回顾了精度-复杂性相关的一些例子。这里的中心问题是如何解释这些相关性,因此讨论探讨了认知假说和权衡假说的对立主张。本文认为,准确度和复杂性之间的这种联合提升并不像认知假说所预测的那样是任务难度的函数,而是单独任务和任务条件因素共同作用的结果。延伸理论讨论,与第一语言说的水平模型建立联系,并提出在基于任务的绩效文献中获得的结果可以与该模型联系起来,修改后考虑到第一语言和第二语言处理之间的差异,特别是因为这些差异源于潜在的心理词汇的差异。
Complexity, accuracy, and fluency have proved useful measures of second language performance. The present article will re-examine these measures themselves, arguing that fluency needs to be rethought if it is to be measured effectively, and that the three general measures need to be supplemented by measures of lexical use. Building upon this discussion, generalizations are reviewed which focus on inter-relationships between the measures, especially between accuracy and complexity, since positive correlations between these two areas have been less common in the literature. Some examples of accuracy–complexity correlations are reviewed. The central issue here is how to account for these correlations, and so the discussion explores rival claims from the Cognition and Trade-off Hypotheses. It is argued that such joint raised performance between accuracy and complexity is not a function of task difficulty, as the Cognition Hypothesis would predict, but that instead it reflects the joint operation of separate task and task condition factors. Extending the theoretical discussion, connection is made with the Levelt model of first language speaking, and it is proposed that the results obtained in the task-based performance literature can be linked to this model, modified to take account of differences between first and second language processing, particularly as these stem from differences in the underlying mental lexicons.