Article | Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16 | Features indicating readability in Swedish text
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Title:
Features indicating readability in Swedish text
Author:
Johan Falkenjack: Department of Information and Computer Science, Linköping University, Linköping, Sweden Katarina Heimann Mühlenbock: Språkbanken, University of Gothenburg, Gothenburg Arne Jönsson: SICS East Swedish ICT AB, Sweden
Download:
Full text (pdf)
Year:
2013
Conference:
Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16
Issue:
085
Article no.:
008
Pages:
27-40
No. of pages:
14
Publication type:
Abstract and Fulltext
Published:
2013-05-17
ISBN:
978-91-7519-589-6
Series:
Linköping Electronic Conference Proceedings
ISSN (print):
1650-3686
ISSN (online):
1650-3740
Series:
NEALT Proceedings Series
Publisher:
Linköping University Electronic Press; Linköpings universitet


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Studies have shown that modern methods of readability assessment; using automated linguistic analysis and machine learning (ML); is a viable road forward for readability classification and ranking. In this paper we present a study of different levels of analysis and a large number of features and how they affect an ML-system’s accuracy when it comes to readability assessment. We test a large number of features proposed for different languages (mainly English) and evaluate their usefulness for readability assessment for Swedish as well as comparing their performance to that of established metrics. We find that the best performing features are language models based on part-of-speech and dependency type.

Keywords: Readability assessment; Machine learning; Dependency parsing; Weka

Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16

Author:
Johan Falkenjack, Katarina Heimann Mühlenbock, Arne Jönsson
Title:
Features indicating readability in Swedish text
References:

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Proceedings of the 19th Nordic Conference of Computational Linguistics (NODALIDA 2013); May 22-24; 2013; Oslo University; Norway. NEALT Proceedings Series 16

Author:
Johan Falkenjack, Katarina Heimann Mühlenbock, Arne Jönsson
Title:
Features indicating readability in Swedish text
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