Linguistic Ethnography: Identifying Dominant Word Classes in Text

Description:

This paper discusses linguistic ethnography.

Creator(s):
Creation Date: March 2009
Partner(s):
UNT College of Engineering
Collection(s):
UNT Scholarly Works
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Total Uses: 334
Past 30 days: 16
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Creator (Author):
Pulman, Stephen

Oxford University

Creator (Author):
Mihalcea, Rada, 1974-

University of North Texas

Date(s):
  • Creation: March 2009
Description:

This paper discusses linguistic ethnography.

Degree:
Note:

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.

Physical Description:

9 p.

Language(s):
Subject(s):
Keyword(s): linguistic ethnography | lexical resources | text classification | natural language processing
Source: Conference on Computational Linguistics and Intelligent Text Processing (CICLing), 2009, Mexico City, Mexico
Partner:
UNT College of Engineering
Collection:
UNT Scholarly Works
Identifier:
  • ARK: ark:/67531/metadc31015
Resource Type: Paper
Format: Text
Rights:
Access: Public