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Morphosyntactic Tagging of Slovene Using Progol

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Inductive Logic Programming (ILP 1999)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 1634))

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Abstract

We consider the task of tagging Slovene words with morphosyntactic descriptions (MSDs). MSDs contain not only part-of-speech information but also attributes such as gender and case. In the case of Slovene there are 2,083 possible MSDs. P-Progol was used to learn morphosyntactic disambiguation rules from annotated data (consisting of 161,314 examples) produced by the MULTEXT-East project. P-Progol produced 1,148 rules taking 36 hours. Using simple grammatical background knowledge, e.g. looking for case disagreement, P-Progol induced 4,094 clauses in eight parallel runs. These rules have proved effective at detecting and explaining incorrect MSD annotations in an independent test set, but have not so far produced a tagger comparable to other existing taggers in terms of accuracy.

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Author information

Authors and Affiliations

  1. University of York, Heslington, York, YO10 5DD, UK

    James Cussens

  2. Department for Intelligent Systems, Jožef Stefan Institute, Jamova 39, SI-1000, Ljubljana, Slovenia

    Sašo Džeroski & Tomaž Erjavec

Authors
  1. James Cussens
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  2. Sašo Džeroski
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  3. Tomaž Erjavec
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Editor information

Editors and Affiliations

  1. Department of Intelligent Systems, Jožef Stefan Institute, Jamova 39, SI-1000, Ljubljana, Slovenia

    Sašo Džeroski

  2. Department of Computer Science, University of Bristol, Merchant Venturers Building, Woodland Road, Bristol, BS8 1UB, UK

    Peter Flach

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© 1999 Springer-Verlag Berlin Heidelberg

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Cussens, J., Džeroski, S., Erjavec, T. (1999). Morphosyntactic Tagging of Slovene Using Progol. In: Džeroski, S., Flach, P. (eds) Inductive Logic Programming. ILP 1999. Lecture Notes in Computer Science(), vol 1634. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-48751-4_8

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  • DOI: https://doi.org/10.1007/3-540-48751-4_8

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  • Print ISBN: 978-3-540-66109-2

  • Online ISBN: 978-3-540-48751-7

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