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.
Embed
Wikipedia Quality
Claeser, Daniel; Felske, Dennis; Kent, Samantha. (2017). "[[Token Level Code-Switching Detection Using Wikipedia as a Lexical Resource]]". Springer, Cham. DOI: 10.1007/978-3-319-73706-5_16.
English Wikipedia
{{cite journal |last1=Claeser |first1=Daniel |last2=Felske |first2=Dennis |last3=Kent |first3=Samantha |title=Token Level Code-Switching Detection Using Wikipedia as a Lexical Resource |date=2017 |doi=10.1007/978-3-319-73706-5_16 |url=https://wikipediaquality.com/wiki/Token_Level_Code-Switching_Detection_Using_Wikipedia_as_a_Lexical_Resource |journal=Springer, Cham}}
HTML
Claeser, Daniel; Felske, Dennis; Kent, Samantha. (2017). "<a href="https://wikipediaquality.com/wiki/Token_Level_Code-Switching_Detection_Using_Wikipedia_as_a_Lexical_Resource">Token Level Code-Switching Detection Using Wikipedia as a Lexical Resource</a>". Springer, Cham. DOI: 10.1007/978-3-319-73706-5_16.