@inproceedings{97dffd64eb8244d4869ca7df178c9774,
title = "Four stemmers and a funeral: Stemming in hungarian at CLEF 2005",
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.",
author = "Anna Tordai and {De Rijke}, Maarten",
year = "2006",
doi = "10.1007/11878773_20",
language = "Ingl{\'e}s",
isbn = "354045697X",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "179--186",
booktitle = "Accessing Multilingual Information Repositories - 6th Workshop of the Cross-Language Evalution Forum, CLEF 2005",
note = "Accessing Multilingual Information Repositories - 6th Workshop of the Cross-Language Evalution Forum, CLEF 2005 ; Conference date: 21-09-2005 Through 23-09-2005",
}