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Fromm, Davida; MacWhinney, Brian; Thompson, Cynthia K. – Journal of Speech, Language, and Hearing Research, 2020
Purpose: Analysis of spontaneous speech samples is important for determining patterns of language production in people with aphasia. To accomplish this, researchers and clinicians can use either hand coding or computer-automated methods. In a comparison of the two methods using the hand-coding NNLA (Northwestern Narrative Language Analysis) and…
Descriptors: Automation, Computational Linguistics, Aphasia, Coding
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Liu, Houjun; MacWhinney, Brian; Fromm, Davida; Lanzi, Alyssa – Journal of Speech, Language, and Hearing Research, 2023
Purpose: A major barrier to the wider use of language sample analysis (LSA) is the fact that transcription is very time intensive. Methods that can reduce the required time and effort could help in promoting the use of LSA for clinical practice and research. Method: This article describes an automated pipeline, called Batchalign, that takes raw…
Descriptors: Automation, Language Tests, Computational Linguistics, Morphology (Languages)
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Nippold, Marilyn A.; Frantz-Kaspar, Megan W.; Vigeland, Laura M. – Journal of Speech, Language, and Hearing Research, 2017
Purpose: In this study, we examined syntactic complexity in the spoken language samples of young adults. Its purpose was to contribute to the expanding knowledge base in later language development and to begin building a normative database of language samples that potentially could be used to evaluate young adults with known or suspected language…
Descriptors: Oral Language, Syntax, Structural Analysis (Linguistics), Interviews