Abstract
Stochastic approaches to tagging of Polish brought results far from being satisfactory. However, successful combination of hand-written rules and a stochastic approach to Czech, as well, as some initial experiments in acquisition of tagging rules for Polish revealed potential capabilities of a rule based approach. The goals are: to define a language of tagging constraints, to construct a set of reduction rules for Polish and to apply Machine Learning to extraction of tagging rules. A language of functional tagging constraints called JOSKIPI is proposed. An extension to the C4.5 algorithm based on introducing complex JOSKIPI operators into decision trees is presented. Construction of a preliminary hand-written tagging rules for Polish is discussed. Finally, the results of the comparison of different versions of the tagger are given.
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References
Dębowski, Ł.: Trigram morphosyntactic tagger for Polish. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds.) Proceedings of Intelligent Information Processing and Web Mining. Proceedings of the International IIS: IIPWM 2004 Conference, Zakopane, Poland, May 17–20, pp. 409–413. Springer, Heidelberg (2004)
Hajič, J., Krbec, P., Květoň, P., Oliva, K., Petkevič, V.: Serial combination rules and statistics: A case study in czech tagging. In: Proceedings of The 39th Annual Meeting of ACL, pp. 260–267. Morgan Kaufmann Publishers, San Francisco (2001)
Piasecki, M., Gaweł, B.: A rule-based tagger for Polish based on Genetic Algorithm. In: [13]
Karlsson, F., Voutilainen, A., Heikkil a, J., Anttila, A. (eds.): Constraint Grammar: A Language-Independent System for Parsing Unrestricted Text. Mouton de Gruyter, Berlin, New York (1995)
Květoň, P.: Language for grammatical rules. Report TR-2003-17, ÚFAL/CKL MFF UK, Prague (2003)
Rudolf, M.: Metody automatycznej analizy korpusu tekstów polskich. Uniwersytet Warszawski, Wydz. Polonistyki (2004)
Quinlan, J.: C4.5: Programms for Machine Learning. Morgan Kaufmann, San Francisco (1993)
Hermjakob, U.: Learning Parse and Translation Decisions From Examples With Rich Context. PhD thesis, University of Texas, Austin (1997)
Przepiórkowski, A.: The IPI PAN Corpus Preliminary Version. Institute of Computer Science PAS (2004)
Oliva, K., Petkevič, V.: Morphological and syntactic tagging of slavonic languages. Lecture Notes for Empirical Linguistics and Natural Language, Fall School, Sozopol (2002)
Piasecki, M., Godlewski, G.: Reductionistic, Tree and Rule Based Tagger for Polish. In: [14]
Márquez, L.: Part-of-speech Tagging: A Machine Learning Approach based on Decision Trees. PhD thesis, Universitat Politécnica de Catalunya (1999)
Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds.): Proceedings of Intelligent Information Processing and Web Mining 2005. Advances in Soft Computing. Springer, Berlin (2005)
Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds.): Proceedings of Intelligent Information Processing and Web Mining 2006. Advances in Soft Computing. Springer, Berlin (2006)
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Piasecki, M. (2006). Hand-Written and Automatically Extracted Rules for Polish Tagger. In: Sojka, P., Kopeček, I., Pala, K. (eds) Text, Speech and Dialogue. TSD 2006. Lecture Notes in Computer Science(), vol 4188. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11846406_26
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DOI: https://doi.org/10.1007/11846406_26
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