Token Level Code-Switching Detection Using Wikipedia as a Lexical Resource
Authors | Daniel Claeser Dennis Felske Samantha Kent |
|---|---|
Publication date | 2017 |
DOI | 10.1007/978-3-319-73706-5_16 |
Links | Original |
Token Level Code-Switching Detection Using Wikipedia as a Lexical Resource - scientific work related to Wikipedia quality published in 2017, written by Daniel Claeser, Dennis Felske and Samantha Kent.
Overview
Authors present a novel lexicon-based classification approach for code-switching detection on Twitter. The main aim is to develop a simple lexical look-up classifier based on frequency information retrieved from Wikipedia. Authors evaluate the classifier using three different language pairs: Spanish-English, Dutch-English, and German-Turkish. The results indicate that figures for Spanish-English are competitive with current state of the art classifiers, even though the approach is simplistic and based solely on word frequency information.
