Abstract
We developed algorithmic stemmers for Hungarian and used them for the ad-hoc monolingual task for CLEF 2005. Our goal was to determine what degree of stemming is the most effective. Although on average the stemmers did not perform as well as the the best n-gram, we found that stemming over a broad range of suffixes especially on nouns is highly useful.
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Tordai, A., de Rijke, M. (2006). Four Stemmers and a Funeral: Stemming in Hungarian at CLEF 2005. In: Peters, C., et al. Accessing Multilingual Information Repositories. CLEF 2005. Lecture Notes in Computer Science, vol 4022. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11878773_20
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DOI: https://doi.org/10.1007/11878773_20
Publisher Name: Springer, Berlin, Heidelberg
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