Name
Abstract | ||
|---|---|---|
We introduce an interlingua-based approach to cross-language information retrieval, in which queries, as well as documents, are mapped onto a language-independent concept layer on which retrieval operations are performed. This approach is contrasted with one which directly translates non-English queries (German and Portuguese, in our experiments) to English ones which, subsequently, are processed on English documents. We report on the empirical evaluation of both approaches on a large medical document collection (the OHSUMED corpus). |
Year | Venue | Field |
|---|---|---|
2004 | RIAO | Human–computer information retrieval,Information retrieval,Computer science,Interlingua,Portuguese,Artificial intelligence,Natural language processing,Document retrieval,Text retrieval,German,Visual Word |
DocType | Citations | PageRank |
Conference | 2 | 0.44 |
References | Authors | |
20 | 6 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Udo Hahn | 1 | 32 | 4.80 |
| Kornél Markó | 2 | 103 | 10.17 |
| Michael Poprat | 3 | 29 | 5.07 |
| Stefan Schulz | 4 | 2 | 2.13 |
| Joachim Wermter | 5 | 288 | 20.20 |
| Percy Nohama | 6 | 56 | 13.12 |