Analyzing Discourse Processing Using a Simple Natural Language Processing Tool
Analyzing Discourse Processing Using a Simple Natural Language Processing Tool
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DOI：
10.1080/0163853x.2014.910723
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发表时间：
2014-01-01
影响因子：
2.2
通讯作者：
McNamara, Danielle S.
中科院分区：
文献类型：
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作者：
Crossley, Scott A.;Allen, Laura K.;McNamara, Danielle S.
自然语言处理（NLP）为语篇处理研究者提供了一种强有力的方法。然而，仍然有一些研究人员在考虑使用NLP时表现出明显的犹豫，至少在他们自己身上。本文的目的是介绍和提供一个简单的NLP（SiNLP）工具。这篇文章的总体目标是扩散使用NLP在话语处理研究。本文还提供了一个实例和实证评估的语言特征测量SiNLP证明他们的实力，在调查结构感兴趣的话语处理社区。虽然相对简单，但分析结果表明，该工具相当强大，在常见的话语处理任务（即，预测作文分数）。这样一个工具可以证明是有用的研究人员有兴趣调查的语言特征，影响话语生产和理解。
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.