Name
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-85760-0_6 | Advances in Multilingual and Multimodal Information Retrieval |
Keywords | Field | DocType |
czech monolingual task,statistical stemmer,available stemmers,czech stemming,east european languages,significant improvement,various language | Czech,Bulgarian,Hungarian Language,Computer science,Natural language processing,Artificial intelligence,Clef | Conference |
Volume | ISSN | Citations |
5152 | 0302-9743 | 10 |
PageRank | References | Authors |
0.62 | 9 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Prasenjit Majumder | 1 | 173 | 25.15 |
| Mandar Mitra | 2 | 3092 | 338.20 |
| Dipasree Pal | 3 | 79 | 7.23 |