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dc.contributor.authorBrown, Cati
dc.contributor.authorSnodgrass, Tony
dc.contributor.authorKemper, Susan
dc.contributor.authorHerman, Ruth E.
dc.contributor.authorCovington, Michael A.
dc.date.accessioned2011-12-12T17:13:16Z
dc.date.available2011-12-12T17:13:16Z
dc.date.issued2008-05
dc.identifier.citationBrown, C., Snodgrass, T., Kemper, S., Herman, R., & Covington, M. (2008). Automatic measurement of propositional idea density from part-of-speech tagging. Behavioral Research Methods, 40, 540-545. PM#2423207 http://dx.doi.org/10.3758/BRM.40.2.540
dc.identifier.urihttp://hdl.handle.net/1808/8600
dc.descriptionThe original publication is available at www.springerlink.com
dc.description.abstractThe Computerized Propositional Idea Density Rater (CPIDR, pronounced “spider”) is a computer program that determines the propositional idea density (P-density) of an English text automatically on the basis of partof-speech tags. The key idea is that propositions correspond roughly to verbs, adjectives, adverbs, prepositions, and conjunctions. After tagging the parts of speech using MontyLingua (Liu, 2004), CPIDR applies numerous rules to adjust the count, such as combining auxiliary verbs with the main verb. A “speech mode” is provided in which CPIDR rejects repetitions and a wider range of fillers. CPIDR is a user-friendly Windows .NET application distributed as open-source freeware under GPL. Tested against human raters, it agrees with the consensus of two human raters better than the team of five raters agree with each other [r(80) = .97 vs. r(10) = .82, respectively].
dc.language.isoen_US
dc.publisherSpringer
dc.titleAutomatic measurement of propositional idea density from part-of-speech tagging
dc.typeArticle
kusw.kuauthorKemper, Susan
kusw.kuauthorHerman, Ruth
kusw.kudepartmentDepartment of Psychology
kusw.oastatusfullparticipation
dc.identifier.doi10.3758/BRM.40.2.540
kusw.oaversionScholarly/refereed, author accepted manuscript
kusw.oapolicyThis item meets KU Open Access policy criteria.
dc.rights.accessrightsopenAccess


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