Analyzing Discourse Processing Using a Simple Natural Language Processing Tool

Autor/inn/en	Crossley, Scott A.; Allen, Laura K.; Kyle, Kristopher; McNamara, Danielle S.
Titel	Analyzing Discourse Processing Using a Simple Natural Language Processing Tool
Quelle	In: Discourse Processes: A multidisciplinary journal, 51 (2014) 5-6, S.511-534 (24 Seiten) PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	0163-853X
DOI	10.1080/0163853X.2014.910723
Schlagwörter	Natural Language Processing; Discourse Analysis; Language Research; Computer Oriented Programs; Correlation; Regression (Statistics) + Suchen Sie Ihr Suchwort? Natürliche Sprache; Diskursanalyse; Sprachforschung; Computerprogramm; Korrelation; Regression; Regressionsanalyse
Abstract	Natural language processing (NLP) provides a powerful approach for discourse processing researchers. However, there remains a notable degree of hesitation by some researchers to consider using NLP, at least on their own. The purpose of this article is to introduce and make available a "simple" NLP (SiNLP) tool. The overarching goal of the article is to proliferate the use of NLP in discourse processing research. The article also provides an instantiation and empirical evaluation of the linguistic features measured by SiNLP to demonstrate their strength in investigating constructs of interest to the discourse processing community. Although relatively simple, the results of this analysis reveal that the tool is quite powerful, performing on par with a sophisticated text analysis tool, Coh-Metrix, on a common discourse processing task (i.e., predicting essay scores). Such a tool could prove useful to researchers interested in investigating features of language that affect discourse production and comprehension. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2017/4/10