Advances in computational linguistics and discourse processing have made it possible to automate
many language- and text-processing mechanisms. We have developed a computer tool called Coh-Metrix,
which analyzes texts on over 200 measures of cohesion, language, and readability. Its modules use lexicons, part-of-speech classifiers, syntactic parsers, templates, corpora, latent semantic analysis, and other
components that are widely used in computational linguistics. After the user enters an English text, CohMetrix returns measures requested by the user. In addition, a facility allows the user to store the results
of these analyses in data files (such as Text, Excel, and SPSS). Standard text readability formulas scale
texts on difficulty by relying on word length and sentence length, whereas Coh-Metrix is sensitive to
cohesion relations, world knowledge, and language and discourse characteristics.
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