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Detecting Syntactic Errors in Dependency Treebanks for Morphosyntactically Rich Languages

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Language Processing and Intelligent Information Systems (IIS 2013)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 7912))

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Abstract

The paper introduces a new method for detecting and correcting errors in large dependency treebanks with rich morphosyntactic annotation. The technique uses error correction rules automatically extracted from the treebank. The procedure of rule extraction is based on a comparison of similar – but not identical – subgraphs of dependency structures. The outcome of applying the method to a 3-million-sentence dependency treebank of Polish is presented and evaluated. The method achieves satisfactory precision in the task of automatic error correction and relatively high precision in the task of error detection.

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Krasnowska, K., Przepiórkowski, A. (2013). Detecting Syntactic Errors in Dependency Treebanks for Morphosyntactically Rich Languages. In: Kłopotek, M.A., Koronacki, J., Marciniak, M., Mykowiecka, A., Wierzchoń, S.T. (eds) Language Processing and Intelligent Information Systems. IIS 2013. Lecture Notes in Computer Science, vol 7912. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-38634-3_9

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  • DOI: https://doi.org/10.1007/978-3-642-38634-3_9

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-38633-6

  • Online ISBN: 978-3-642-38634-3

  • eBook Packages: Computer ScienceComputer Science (R0)

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