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Analyzing agrammatic narrative production using Northwestern Narrative Language Analysis (NNLA) and Computerized Language Analysis (CLAN): A qualitative and quantitative comparison

机译:使用西北叙事语言分析(NNLA)和计算机语言分析(CLAN)分析语法叙事作品:定性和定量比较

摘要

Spontaneous language sample analysis is often used to characterize production deficit patterns in aphasia. Methods for accomplishing this, however, are labor-intensive. The Computerized Language Analysis (CLAN) system, developed for analyzing children’s language production, has recently been adopted for analysis of aphasic speech samples through AphasiaBank. However, the extent to which this automated system accurately quantifies lexical and morophosyntactic deficits, commonly seen in agrammatism, has not been explored. This study compared the CLAN with the Northwestern Narrative Language Analysis (NNLA) system, developed to evaluate linguistic deficits in aphasia. Results indicate that the CLAN does not identify important characteristics of agrammatic production. (100)
机译:自发性语言样本分析通常用于表征失语症的生产缺陷模式。但是,实现此目的的方法是劳动密集型的。为分析儿童的语言能力而开发的计算机语言分析(CLAN)系统最近已通过AphasiaBank用于分析失语症语音样本。但是,这种自动化系统在多大程度上准确地量化了在语法上常见的词汇和词法上的缺陷。这项研究将CLAN与西北语言叙述语言分析(NNLA)系统进行了比较,该系统旨在评估失语症的语言缺陷。结果表明,CLAN并未识别出语法生产的重要特征。 (100)

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