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Effective Architecture of the Polish Tagger

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Text, Speech and Dialogue (TSD 2006)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 4188))

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Abstract

The large tagset of the IPI PAN Corpus of Polish and the limited size of the learning corpus make construction of a tagger especially demanding. The goal of this work is to decompose the overall process of tagging of Polish into subproblems of partial disambiguation. Moreover, an architecture of a tagger facilitating this decomposition is proposed. The proposed architecture enables easy integration of hand-written tagging rules with the rest of the tagger. The architecture is open for different types of classifiers. A complete tagger for Polish called TaKIPI is also presented. Its configuration, the achieved results (92.55% of accuracy for all tokens, 84.75% for ambiguous tokens in ten-fold test), and considered variants of the architecture are discussed, too.

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References

  1. Przepiórkowski, A.: The IPI PAN Corpus Preliminary Version. Institute of Computer Science PAS (2004)

    Google Scholar 

  2. Dębowski, Ł.: Trigram morphosyntactic tagger for Polish. In: Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds.) Intelligent Information Processing and Web Mining. Proceedings of the International IIS: IIPWM 2004 Conference, Zakopane, Poland, pp. 409–413. Springer, Heidelberg (2004)

    Google Scholar 

  3. 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)

    Google Scholar 

  4. Rudolf, M.: Metody automatycznej analizy korpusu tekstów polskich: pozyskiwanie, wzbogacanie i przetwarzanie informacji lingwistycznych. PhD thesis, Uniwersytet Warszawski (2003)

    Google Scholar 

  5. Piasecki, M., Gaweł, B.: A rule-based tagger for Polish based on Genetic Algorithm. In: [13]

    Google Scholar 

  6. Woliński, M.: Morfeusz — a practical tool for the morphological analysis of polish. In: [14]

    Google Scholar 

  7. Márquez, L.: Part-of-speech Tagging: A Machine Learning Approach based on Decision Trees. PhD thesis, Universitat Politécnica de Catalunya (1999)

    Google Scholar 

  8. Quinlan, J.: C4.5: Programms for Machine Learning. Morgan Kaufmann, San Mateo (1993)

    Google Scholar 

  9. Quinlan, R.: Ross Quinlan’s Personal Homepage (2005), http://www.rulequest.com/Personal/c4.5r8.tar.gz

  10. Piasecki, M., Godlewski, G.: Reductionistic, Tree and Rule Based Tagger for Polish. In: [14]

    Google Scholar 

  11. 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)

    Google Scholar 

  12. Květoň, P.: Language for grammatical rules. Report TR-2003-17, ÚFAL/CKL MFF UK, Prague (2003)

    Google Scholar 

  13. Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds.): Intelligent Information Processing and Web Mining — Proceedings of the International IIS: IIPWM 2005 Conference, Advances in Soft Computing. Springer, Berlin (2005)

    Google Scholar 

  14. Kłopotek, M.A., Wierzchoń, S.T., Trojanowski, K. (eds.): Intelligent Information Processing and Web Mining — Proceedings of the International IIS: IIPWM 2006 Conference, Advances in Soft Computing. Springer, Berlin (2006)

    Google Scholar 

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© 2006 Springer-Verlag Berlin Heidelberg

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Piasecki, M., Godlewski, G. (2006). Effective Architecture of the 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_27

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  • DOI: https://doi.org/10.1007/11846406_27

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-39090-9

  • Online ISBN: 978-3-540-39091-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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