Predicting the sources of impaired wh -question comprehension in non-fluent aphasia: A cross-linguistic machine learning study on Turkish and German.

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Title: Predicting the sources of impaired wh -question comprehension in non-fluent aphasia: A cross-linguistic machine learning study on Turkish and German.
Authors: Arslan, Seçkin (AUTHOR), Gür, Eren (AUTHOR), Felser, Claudia (AUTHOR)
Source: Cognitive Neuropsychology. Jul2017, Vol. 34 Issue 5, p312-331. 20p.
Subjects: Aphasia, Comprehension, Machine learning, Turkish language ability testing, German language ability testing
Abstract: This study investigates the comprehension ofwh-questions in individuals with aphasia (IWA) speaking Turkish, a non-wh-movement language, and German, awh-movement language. We examined six German-speaking and 11 Turkish-speaking IWA using picture-pointing tasks. Findings from our experiments show that the Turkish IWA responded more accurately to both objectwhoand objectwhichquestions than to subject questions, while the German IWA performed better for subjectwhichquestions than in all other conditions. Using random forest models, a machine learning technique used in tree-structured classification, on the individual data revealed that both the Turkish and German IWA’s response accuracy is largely predicted by the presence of overt and unambiguous case marking. We discuss our results with regard to different theoretical approaches to the comprehension ofwh-questions in aphasia. [ABSTRACT FROM AUTHOR]
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Database: Psychology and Behavioral Sciences Collection
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