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dc.contributor.authorKondru, Jagadeeshen_US
dc.date.accessioned2007-08-23T01:56:13Z
dc.date.available2007-08-23T01:56:13Z
dc.date.issued2007-08-23T01:56:13Z
dc.date.submittedDecember 2006en_US
dc.identifier.otherDISS-1575en_US
dc.identifier.urihttp://hdl.handle.net/10106/178
dc.description.abstractReadability formulas predict the reading difficulty associated with text. They typically output a U.S. school grade level that indicates the reading ability required of a person in order for him to comprehend that text. Ability to predict text readability is useful because it helps educators select appropriate texts for students and authors write texts accessible to the audience they target. Existing readability formulas are based on countable aspects of the text such as average sentence length and average word length. We propose a new readability formula, the Readability Index, which is based on the part-of-speech structure of sentences in a text. We provide experimental results which show that the Readability Index makes better grade predictions than existing readability formulas.en_US
dc.description.sponsorshipLevine, Daviden_US
dc.language.isoENen_US
dc.publisherComputer Science & Engineeringen_US
dc.titleUsing Part Of Speech Structure Of Text In The Prediction Of Its Readabilityen_US
dc.typeM.S.en_US
dc.contributor.committeeChairLevine, Daviden_US
dc.degree.departmentComputer Science & Engineeringen_US
dc.degree.disciplineComputer Science & Engineeringen_US
dc.degree.grantorUniversity of Texas at Arlingtonen_US
dc.degree.levelmastersen_US
dc.degree.nameM.S.en_US
dc.identifier.externalLinkhttps://www.uta.edu/ra/real/editprofile.php?onlyview=1&pid=197
dc.identifier.externalLinkDescriptionLink to Research Profiles


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