Abstract
There are no large error corpora for a number of languages, despite the fact that they have multiple applications in natural language processing. The main reason underlying this situation is a high cost of manual corpora creation. In this paper we present the methods of automatic extraction of various kinds of errors such as spelling, typographical, grammatical, syntactic, semantic, and stylistic ones from text edition histories. By applying of these methods to the Wikipedia’s article revision history, we created the large and publicly available corpus of naturally-occurring language errors for Polish, called PlEWi. Finally, we analyse and evaluate the detected error categories in our corpus.
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Grundkiewicz, R. (2013). Automatic Extraction of Polish Language Errors from Text Edition History. In: Habernal, I., Matoušek, V. (eds) Text, Speech, and Dialogue. TSD 2013. Lecture Notes in Computer Science(), vol 8082. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-40585-3_17
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DOI: https://doi.org/10.1007/978-3-642-40585-3_17
Publisher Name: Springer, Berlin, Heidelberg
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