Difference between revisions of "Token Level Code-Switching Detection Using Wikipedia as a Lexical Resource"

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== 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.
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== Embed ==
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=== Wikipedia Quality ===
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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.
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=== English Wikipedia ===
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{{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}}
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=== HTML ===
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Claeser, Daniel; Felske, Dennis; Kent, Samantha. (2017). &amp;quot;<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>&amp;quot;. Springer, Cham. DOI: 10.1007/978-3-319-73706-5_16.
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Revision as of 08:16, 29 June 2020


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). &quot;<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>&quot;. Springer, Cham. DOI: 10.1007/978-3-319-73706-5_16.