Difference between revisions of "Token Level Code-Switching Detection Using Wikipedia as a Lexical Resource"
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| + | {{Infobox work | ||
| + | | title = Token Level Code-Switching Detection Using Wikipedia as a Lexical Resource | ||
| + | | date = 2017 | ||
| + | | authors = [[Daniel Claeser]]<br />[[Dennis Felske]]<br />[[Samantha Kent]] | ||
| + | | doi = 10.1007/978-3-319-73706-5_16 | ||
| + | | link = https://link.springer.com/content/pdf/10.1007%2F978-3-319-73706-5_16.pdf | ||
| + | }} | ||
'''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]]. | '''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 == | == 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. | 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. | ||
Revision as of 00:42, 27 October 2019
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.
