Using phrasal verbs as an index to distinguish text genres

Kyle B. Dempsey, Philip M. McCarthy, Danielle S. McNamara

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

12 Scopus citations

Abstract

Previous studies have shown that text genres can be computationally distinguished by sophisticated computational and statistical methods. The current study adds to the previous body of work by incorporating phrasal verbs as a text genre identifier. Results indicate that phrasal verbs significantly distinguish between both the spoken/written and formal/informal dimensions, with considerably less computational expense than previous studies. Phrasal verbs also indicate degree of spokenness and formality that is significantly similar to previous computationally expensive studies. The study offers useful findings for text-identification research and for materials developers in the field of English as a second language. 1

Original languageEnglish (US)
Title of host publicationProceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007
Pages217-222
Number of pages6
StatePublished - Dec 28 2007
Externally publishedYes
Event20th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007 - Key West, FL, United States
Duration: May 7 2007May 9 2007

Publication series

NameProceedings of the Twentieth International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007

Other

Other20th International Florida Artificial Intelligence Research Society Conference, FLAIRS 2007
Country/TerritoryUnited States
CityKey West, FL
Period5/7/075/9/07

ASJC Scopus subject areas

  • Artificial Intelligence
  • Software

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