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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.oanotes* Authors own final version only can be archived * Publisher's version/PDF cannot be used * On author's website or institutional repository * On funders designated website/repository after 12 months at the funders request or as a result of legal obligation * Published source must be acknowledged * Must link to publisher version * Set phrase to accompany link to published version (The original publication is available at www.springerlink.com) * Articles in some journals can be made Open Access on payment of additional charge
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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