Name
Abstract | ||
|---|---|---|
In participating in this domain-specific track, our first objective is to propose and evaluate a light stemmer for the Russian language. Our second objective is to measure the relative merit of various search engines used for the German and to a lesser extent the English languages. To do so we evaluated the tf ·idf, Okapi, IR models derived from the Divergence from Randomness (DFR) paradigm, and also a language model (LM). For the Russian language, we find that word-based indexing using our light stemming procedure results in better retrieval effectiveness than does the 4-gram indexing strategy (relative difference around 30%). Using the German corpus, we examine certain variations in retrieval effectiveness after applying the specialized thesaurus to automatically enlarge topic descriptions. In this case, the performance variations were relatively small and usually non significant. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-85760-0_26 | Advances in Multilingual and Multimodal Information Retrieval |
Keywords | DocType | Volume |
russian language,language model,english language,light stemmer,domain-specific ir,4-gram indexing strategy,russian languages,better retrieval effectiveness,relative merit,german corpus,retrieval effectiveness,relative difference,indexation,search engine | Conference | 5152 |
ISSN | Citations | PageRank |
0302-9743 | 4 | 0.54 |
References | Authors | |
9 | 4 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Claire Fautsch | 1 | 51 | 7.18 |
| Ljiljana Dolamic | 2 | 125 | 10.84 |
| Samir ABDOU | 3 | 92 | 8.06 |
| Jacques Savoy | 4 | 1601 | 169.85 |