Article published in:
The Anglicization of European LexisEdited by Cristiano Furiassi, Virginia Pulcini and Félix Rodríguez González
[Not in series 174] 2012
► pp. 111–130
Chapter 5. Semi-automatic approaches to Anglicism detection in Norwegian corpus data
This article describes corpus-based research methods and language processing tools that are used for the systematic study of the influence of English on Norwegian lexis. The tools are developed in connection with the Norwegian Newspaper Corpus (NNC) project. The study presents a survey of the types of phenomena that an Anglicism detection tool should aim at identifying and the problems associated with the orthographic and morphological variability of Anglicisms. It also describes the development of an Anglicism detection tool and accounts for a set of experiments using lexicon-based, n-gram-based and combinatory methods. Finally it describes recently developed machine learning techniques that have been developed by the NNC team, arguing that the computational approach to Anglicism identification is a fruitful one.
Published online: 22 August 2012
https://doi.org/10.1075/z.174.09and
https://doi.org/10.1075/z.174.09and
Cited by
Cited by 2 other publications
Schuring, Melissa & Eline Zenner
Zenner, Eline & Dorien Van De Mieroop
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