Abstract
In this article we propose an extension to the variation n-gram based method of detecting annotation errors. We also show an approach to finding anomalies in the morphosyntactic annotation layer by using association rule discovery. As no research has previously been done in the field of morphosyntactic annotation error correction for Polish, we provide novel results based on experiments on the largest available Polish language corpus, the National Corpus of Polish (NCP). We also discuss the differences in the approaches used earlier for English language data and the method proposed in this article, taking into account the characteristics of Polish language.
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Kobyliński, Ł. (2013). Automatic Detection of Annotation Errors in Polish-Language Corpora. 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_12
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DOI: https://doi.org/10.1007/978-3-642-38634-3_12
Publisher Name: Springer, Berlin, Heidelberg
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