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Bulgarian, Hungarian and Czech Stemming Using YASS

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Advances in Multilingual and Multimodal Information Retrieval (CLEF 2007)

Part of the book series: Lecture Notes in Computer Science ((LNISA,volume 5152))

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Abstract

This is the second year in a row we are participating in CLEF. Our aim is to test the performance of a statistical stemmer on various languages. For CLEF 2006, we tried the stemmer on French [1]; while for CLEF 2007, we did experiments for the Hungarian, Bulgarian and Czech monolingual tasks. We find that, for all languages, YASS produces significant improvements over the baseline (unstemmed) runs. The performance of YASS is also found to be comparable to that of other available stemmers for all the three east European Languages.

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References

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Carol Peters Valentin Jijkoun Thomas Mandl Henning Müller Douglas W. Oard Anselmo Peñas Vivien Petras Diana Santos

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Majumder, P., Mitra, M., Pal, D. (2008). Bulgarian, Hungarian and Czech Stemming Using YASS. In: Peters, C., et al. Advances in Multilingual and Multimodal Information Retrieval. CLEF 2007. Lecture Notes in Computer Science, vol 5152. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-85760-0_6

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  • DOI: https://doi.org/10.1007/978-3-540-85760-0_6

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-85759-4

  • Online ISBN: 978-3-540-85760-0

  • eBook Packages: Computer ScienceComputer Science (R0)

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