A linguistic analysis of expert-generated paraphrases

Russell D. Brandon, Scott A. Crossley, Danielle McNamara

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The authors used the computational tool Coh-Metrix to examine expert writers' paraphrases and in particular, how experts paraphrase text passages using condensing strategies. The overarching goal of this study was to develop machine learning algorithms to aid in the automatic detection of paraphrases and paraphrase types. To this end, three experts were instructed to paraphrase by condensing a set of target passages. The linguistic differences between the original passages and the condensed paraphrases were then analyzed using Coh-Metrix. The condensed paraphrases were accurately distinguished from the original target passages based on the number of words, word frequency, and syntactic complexity.

Original languageEnglish (US)
Title of host publicationProceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25
Pages268-271
Number of pages4
StatePublished - 2012
Event25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25 - Marco Island, FL, United States
Duration: May 23 2012May 25 2012

Publication series

NameProceedings of the 25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25

Other

Other25th International Florida Artificial Intelligence Research Society Conference, FLAIRS-25
Country/TerritoryUnited States
CityMarco Island, FL
Period5/23/125/25/12

ASJC Scopus subject areas

  • Artificial Intelligence

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