ERIC Number: EJ1032226
Record Type: Journal
Publication Date: 2014
Abstractor: As Provided
Reference Count: 78
Analyzing Discourse Processing Using a Simple Natural Language Processing Tool
Crossley, Scott A.; Allen, Laura K.; Kyle, Kristopher; McNamara, Danielle S.
Discourse Processes: A multidisciplinary journal, v51 n5-6 p511-534 2014
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.
Descriptors: Natural Language Processing, Discourse Analysis, Language Research, Computer Oriented Programs, Correlation, Regression (Statistics)
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Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Authoring Institution: N/A