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  4. Detecting and correcting spelling errors in high-quality Dutch Wikipedia text
 
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2018
Journal Article
Title

Detecting and correcting spelling errors in high-quality Dutch Wikipedia text

Abstract
For the CLIN28 shared task, we evaluated systems for spelling correction of high-quality text. The task focused on detecting and correcting spelling errors in Dutch Wikipedia pages. Three teams took part in the task. We compared the performance of their systems to that of a baseline system, the Dutch spelling corrector Valkuil. We evaluated the systems' performance in terms of F1 score. Although two of the three participating systems performed well in the task of correcting spelling errors, error detection proved to be a challenging task, and without exception resulted in a high false positive rate. Therefore, the F1 score of the baseline was not improved upon. This paper elaborates on each team's approach to the task, and discusses the overall challenges of correcting high-quality text.
Author(s)
Beeksma, M.
Gompel, M. van
Kunneman, F.
Onrust, L.
Regnerus, B.
Vinke, D.
Brito, Eduardo
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Bauckhage, Christian  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Sifa, Rafet  
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
Journal
Computational Linguistics in the Netherlands Journal  
Link
Link
Language
English
Fraunhofer-Institut für Intelligente Analyse- und Informationssysteme IAIS  
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