Mauner G
Department of Psychology, University of Rochester, NY 14627, USA.
Brain Lang. 1995 Sep;50(3):339-68. doi: 10.1006/brln.1995.1052.
This paper, which is organized into five sections, critically examines the empirical support and linguistic assumptions underlying several current accounts of language disturbances in Broca's aphasia. In the first section, following a discussion of the use of signal detection methodologies in investigating grammatical sensitivity, the reliability of results from two studies that suggest that Broca's aphasic patients are differentially sensitive to grammatical constraints is examined. It is concluded that in some cases, claims of intact sensitivity are not supported. The second section examines the empirical support for the hypothesis that agrammatic patients are unable to compute syntactic dependency relationships because of slowed lexical processing. It is argued that the statistical treatment of the data and interpretive problems associated with the lexical decision paradigm undermine this hypothesis. In the third section, some of the linguistic assumptions underlying criticisms of chain-disruption hypotheses are examined. It is concluded that these criticisms are based on arguable linguistic assumptions. In the fourth section, it is argued that the linguistic and empirical support for both earlier and revised versions of Grodzinsky's default interpretive strategy is lacking. Methodological and conceptual shortcomings arising from this proposal are also discussed. In the final section, potential relationships between disordered language and currently developing models of normal language processing are discussed.
本文分为五个部分,批判性地审视了当前关于布罗卡失语症语言障碍的几种观点背后的实证依据和语言假设。在第一部分中,在讨论了信号检测方法在研究语法敏感性中的应用之后,对两项研究的结果可靠性进行了考察,这两项研究表明布罗卡失语症患者对语法限制有不同的敏感性。结论是,在某些情况下,关于完整敏感性的说法缺乏依据。第二部分考察了关于语法缺失患者由于词汇处理速度减慢而无法计算句法依存关系这一假设的实证依据。有人认为,数据的统计处理以及与词汇判断范式相关的解释问题削弱了这一假设。第三部分考察了对链式破坏假设的批评背后的一些语言假设。结论是,这些批评基于有争议的语言假设。第四部分认为,格罗兹尼茨基默认解释策略的早期版本和修订版本都缺乏语言和实证支持。还讨论了这一提议所产生的方法学和概念上的缺陷。在最后一部分中,讨论了语言障碍与当前正在发展的正常语言处理模型之间的潜在关系。