Chapter 6
Should we be looking for the needle in the haystack or in the straw poll?
Patrick Drouin | Observatoire de linguistique Sens-Texte, Université de Montréal
The fact that terms change in discourse is now a widely recognized fact. Writing complete terminological description of term variants is still a challenge since variation is hard to detect manually and automatically. To our knowledge, no computer-assisted methodology exists to assist the lexicographer in the quest to identify diatopic variation. In the current paper, we propose a corpus-based method that allows the automatic retrieval of terms candidate to diatopic variation. Using specialized corpora built from website of automobile manufacturers, we extract potential candidates to variation and describe a methodology for their validation using a web-based tool that provides information on diatopic variation.
Article outline
- 1.Introduction
- 2.Computer-assisted identification of terminological diatopic variation
- 3.Methodology
- 3.1Corpus
- 3.2Tools
- 3.2.1IRaMuTeQ
- 3.2.2Diatopix
- 3.3Validations
- 4.Results
- 4.1Frequency
- 4.2Specificities
- 5.Conclusion
-
Notes
-
References
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Cited by one other publication
Wermuth, Maria-Cornelia & Paul Sambre
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