Abstract
The paper proposes a morphological analyser supported by a neural network to inflect words written in Polish. The approach can be also applied to other languages. The main task of the analyser is to create base forms from the analysed words’ forms. Other objective is to provide grammatical information for the analysed form. Computational experiment results confirm that both objectives are fulfilled by the proposed neural network based morphological analyser. The common words are inflected with a very high quality of nearly 99.9%. Other words like geographical names and people’s names, thanks to the incorporation of neural network, inflect with a quality reaching 93.3%.
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References
Allen J. (1995) Natural Language Understanding. — Redwood City. CA: Benjamin Cummings
Dubisz S. ed. (2003) Uniwersalny słownik języka polskiego. — Wydawnictwo Naukowe PWN
Frakes W.B., Baeza-Yates, R. (1992) Stemming Algorithms. Information Retrieval — Data Structures and Algorithms. 131–160. Prentice Hall, London
Hajic J. (2000) Morphological Tagging: Data vs. Dictionaries. — In Proceedings of ANLP-NAACL Conference, 94–101. Seattle, Washington, USA
Karttunen L., Beesley K.R. (2001) A Short History of Two-Level Morphology. — Presented at the ESSLLI-2001 Special Event titled “Twenty Years of Finite-State Morphology.”. Helsinki, Finland
Korbicz J., Obuchowicz A., Uciński D. (1994) Sztuczne Sieci Neuronowe. Podstawy i Zastosowania. — Akademicka Oficyna Wydawnicza PLJ
Porter M. (1980) An algorithm, for suffix stripping. — Program.
Prywata M., Gackiewicz P., Macewicz W. (2004) Polish dictionary for aspell,ispell,myspell. — http://www.kurnik.pl/slownik http://ispellpl.sourceforge.net/
Rutkowska D., Piliński M., Rutkowski L. (1999) Sieci neuronowe, algorytmy genetyczne i systemy rozmyte. — Wydawnictwo Naukowe PWN.
Staniszkis E., Nowicki B. (2004) ICONS based Knowledge Management in the Process of Structural Funds Projects Preparation. — Accepted for the e-Challenges, e-2004 Conference. Vienna, Austria
Szafran K. (1993) Automatyczna analiza fleksyjna tekstu polskiego. — Rozprawa doktorska, Wydział Polonistyki UW. Warszawa
Viks (1994) A morphological analyzer for the Estonian language: the possibilities and impossibilities of automatic analysis. — Automatic Morphology of Estonian 1: 7–28
Weiss D. (2002) Polski lematyzator. — http://www.cs.put.poznan.pl/dweiss/
Xin Yao (1999) Evolving Artificial Neural Networks. — Proceedings of the IEEE, vol 87, No 9
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Jędrzejowicz, P., Strychowski, J. (2005). A Neural Network Based Morphological Analyser of the Natural Language. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds) Intelligent Information Processing and Web Mining. Advances in Soft Computing, vol 31. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-32392-9_21
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DOI: https://doi.org/10.1007/3-540-32392-9_21
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-25056-2
Online ISBN: 978-3-540-32392-1
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