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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
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Bonilla, Carrie L. – Second Language Research, 2015
This article contributes to typological plausibility of Processability Theory (PT) (Pienemann, 1998, 2005) by providing empirical data that show that the stages predicted by PT are followed in the second language (L2) acquisition of Spanish syntax and morphology. In the present article, the PT stages for L2 Spanish morphology and syntax are first…
Descriptors: Linguistic Theory, Second Language Learning, Spanish, Language Processing
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Rett, Jessica; Hyams, Nina – Language Acquisition: A Journal of Developmental Linguistics, 2014
This article presents several empirical studies of syntactically encoded evidentiality in English. The first part of our study consists of an adult online experiment that confirms claims in Asudeh & Toivonen (2012) that raised Perception Verb Similatives (PVSs; e.g. "John looks like he is sick") encode direct evidentiality. We then…
Descriptors: Syntax, Databases, Grammar, Correlation
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Mu, Jin; Stegmann, Karsten; Mayfield, Elijah; Rose, Carolyn; Fischer, Frank – International Journal of Computer-Supported Collaborative Learning, 2012
Research related to online discussions frequently faces the problem of analyzing huge corpora. Natural Language Processing (NLP) technologies may allow automating this analysis. However, the state-of-the-art in machine learning and text mining approaches yields models that do not transfer well between corpora related to different topics. Also,…
Descriptors: Semantics, Classification, Syntax, Coding