Abstract
The idea of verification the inflection correctness of sentences composed in polish language is presented in this paper. The idea and its realization is based on the formal model of modified link grammar, grammatical rules of polish language and neural network as a classification tool of individual words for the sake of gender, number, person, mood and case. The crucial to determine the inflection correctness is the third of mentioned items. The proposition of the artificial neural classifier is presented. Finally, the application and expect results are discussed.
An erratum to this chapter can be found at http://dx.doi.org/10.1007/11550907_163 .
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© 2005 Springer-Verlag Berlin Heidelberg
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Kapłon, T., Mazurkiewicz, J. (2005). The Method of Inflection Errors Correction in Texts Composed in Polish Language – A Concept. In: Duch, W., Kacprzyk, J., Oja, E., Zadrożny, S. (eds) Artificial Neural Networks: Formal Models and Their Applications – ICANN 2005. ICANN 2005. Lecture Notes in Computer Science, vol 3697. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11550907_135
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DOI: https://doi.org/10.1007/11550907_135
Publisher Name: Springer, Berlin, Heidelberg
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