In:The Anglicization of European Lexis
Edited 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
Published online: 22 August 2012
https://doi.org/10.1075/z.174.09and
https://doi.org/10.1075/z.174.09and
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.
Cited by (6)
Cited by six other publications
Miloshevska, Lina
Jelčić Čolakovac, Jasmina & Irena Bogunović
Cierpich-Kozieł, Agnieszka, Elżbieta Mańczak-Wohlfeld & Alicja Witalisz
KLÉGR, ALEŠ & IVANA BOZDĚCHOVÁ
Schuring, Melissa & Eline Zenner
This list is based on CrossRef data as of 24 november 2025. Please note that it may not be complete. Sources presented here have been supplied by the respective publishers. Any errors therein should be reported to them.
