Abstract
This paper describes the application of a method for the automatic, unsupervised recognition of derivational prefixes of Czech words. The technique combines two statistical measures — Entropy and the Economy Principle. The data were taken from the list of almost 170 000 lemmas of the Czech National Corpus
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References
Hlaváčová, J.: Morphological Guesser of Czech Words. In: Matoušek, V., Mautner, P., Mouček, R., Tauser, K. (eds.) TSD 2001. LNCS (LNAI), vol. 2166, pp. 70–75. Springer, Heidelberg (2001)
Medina Urrea, A.: Automatic Discovery of Affixes by Means of a Corpus: A Catalog of Spanish Affixes. Journal of Quantitative Linguistics 7, 97–114 (2000)
Medina Urrea, A., Buenrostro Díaz, E.C.: Características cuantitativas de la flexión verbal del chuj. Estudios de Lingüística Aplicada 38, 15–31 (2003)
Shannon, C.E., Weaver, W.: The Mathematical Theory of Communication. University of Illinois Press, Urbana (1949)
de Kock, J., Bossaert, W.: Introducción a la lingüística automática en las lenguas románicas. Estudios y Ensayos, vol. 202. Gredos, Madrid (1974)
de Kock, J., Bossaert, W.: The Morpheme. An Experiment in Quantitative and Computational Linguistics. Van Gorcum, Amsterdam (1978)
Hafer, M.A., Weiss, S.F.: Word Segmentation by Letter Successor Varieties. Information Storage and Retrieval 10, 371–385 (1974)
Frakes, W.B.: “Stemming Algorithms”. In: Information Retrieval, Data Structures and Algorithms, pp. 131–160. Prentice Hall, New Jersey (1992)
Oakes, M.P.: Statistics for Corpus Linguistics. Edinburgh University Press, Edinburgh (1998)
Medina Urrea, A.: Investigación cuantitativa de afijos y clíticos del español de México. Glutinometría en el Corpus del Español Mexicano Contemporáneo. PhD thesis, El Colegio de México, Mexico (2003)
Greenberg, J.H.: Essays in Linguistics. The University of Chicago Press, Chicago (1957)
Goldsmith, J.: Unsupervised Learning of the Morphology of a Natural Language. Computational Linguistics 27, 153–198 (2001)
Gelbukh, A., Alexandrov, M., Han, S.Y.: Detecting Inflection Patterns in Natural Language by Minimization of Morphological Model. In: Sanfeliu, A., Martínez Trinidad, J.F., Carrasco Ochoa, J.A. (eds.) CIARP 2004. LNCS, vol. 3287, pp. 432–438. Springer, Heidelberg (2004)
Manning, C., Schütze, H.: Foundations of Statistical Natural Language Processing. The MIT Press, Cambridge (1999)
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Urrea, A.M., Hlaváčová, J. (2005). Automatic Recognition of Czech Derivational Prefixes. In: Gelbukh, A. (eds) Computational Linguistics and Intelligent Text Processing. CICLing 2005. Lecture Notes in Computer Science, vol 3406. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30586-6_18
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DOI: https://doi.org/10.1007/978-3-540-30586-6_18
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-24523-0
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