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Linguistic Ethnography: Identifying Dominant Word Classes in Text

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This paper discusses linguistic ethnography.

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9 p.

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Pulman, Stephen & Mihalcea, Rada, 1974- March 2009.


This paper is part of the collection entitled: UNT Scholarly Works and was provided by the UNT College of Engineering to the UNT Digital Library, a digital repository hosted by the UNT Libraries. It has been viewed 4244 times, with 23 in the last month. More information about this paper can be viewed below.


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This paper discusses linguistic ethnography.

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9 p.


Abstract: In this paper, we propose a method for "linguistic ethnography" - a general mechanism for characterizing texts with respect to the dominance of certain classes of words. Using humor as a case study, the authors explore the automatic learning of salient word classes, including semantic classes (e.g., person, animal), psycholinguistic classes (e.g., tentative, cause), and affective load (e.g., anger, happiness). We measure the reliability of the derived word classes and their associated dominance scores by showing significant correlation across different corpora.


  • Conference on Computational Linguistics and Intelligent Text Processing (CICLing), 2009, Mexico City, Mexico


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  • March 2009

Added to The UNT Digital Library

  • Jan. 31, 2011, 2:01 p.m.

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  • March 27, 2014, 12:15 p.m.

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Pulman, Stephen & Mihalcea, Rada, 1974-. Linguistic Ethnography: Identifying Dominant Word Classes in Text, paper, March 2009; ( accessed September 21, 2023), University of North Texas Libraries, UNT Digital Library,; crediting UNT College of Engineering.

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