2 |
Comparative Study of Monolingual and Multilingual Search Models for Use with Asian Languages
|
|
|
|
In: http://members.unine.ch/jacques.savoy/papers/clirtalip.pdf (2005)
|
|
BASE
|
|
Show details
|
|
3 |
Report on CLEF-2005 evaluation campaign: Monolingual, bilingual, and GIRT information retrieval
|
|
|
|
In: http://clef.isti.cnr.it/2005/working_notes/workingnotes2005/savoy05.pdf (2005)
|
|
BASE
|
|
Show details
|
|
4 |
Report on CLEF-2003 multilingual tracks
|
|
|
|
In: http://www.unine.ch/info/Gi/Papers/CLEF2003Multi.pdf (2004)
|
|
BASE
|
|
Show details
|
|
5 |
Selection and Merging Strategies for Multilingual Information Retrieval
|
|
|
|
In: https://doc.rero.ch/record/17192/files/Savoy_Jacques_-_Selection_and_Merging_Strategies_for_Multilingual_20100211.pdf (2004)
|
|
BASE
|
|
Show details
|
|
6 |
Combining Multiple Strategies for Effective Monolingual and Cross-Language Retrieval
|
|
|
|
In: https://doc.rero.ch/record/13167/files/Savoy_Jacques_-_Combining_Multiple_Strategies_for_Effective_20091208.pdf (2004)
|
|
BASE
|
|
Show details
|
|
7 |
Report on clef-2002 experiments: Combining multiple sources of evidence
|
|
|
|
In: http://www.clef-campaign.org/workshop2002/WN/3.pdf (2002)
|
|
BASE
|
|
Show details
|
|
8 |
Report on clef-2002 experiments: Combining multiple sources of evidence
|
|
|
|
In: http://members.unine.ch/jacques.savoy/papers/clef2002rv.pdf (2002)
|
|
BASE
|
|
Show details
|
|
9 |
Report on CLEF-2001 Experiments
|
|
|
|
In: http://www.ercim.org/publication/ws-proceedings/CLEF2/savoy.pdf (2001)
|
|
BASE
|
|
Show details
|
|
10 |
Report on CLEF-2001 Experiments
|
|
|
|
In: http://www.unine.ch/info/Gi/Papers/CLEF2001.pdf (2001)
|
|
BASE
|
|
Show details
|
|
11 |
Domain-Specific IR for German, English and Russian Languages
|
|
|
|
In: http://www.clef-campaign.org/2007/working_notes/FautschCLEF2007.pdf
|
|
BASE
|
|
Show details
|
|
12 |
UniNE at CLEF 2006: Experiments with Monolingual, Bilingual, Domain- Specific and Robust Retrieval
|
|
|
|
In: http://members.unine.ch/jacques.savoy/papers/clef2006wp.pdf
|
|
BASE
|
|
Show details
|
|
13 |
Searching Strategies for the Hungarian Language
|
|
|
|
In: http://members.unine.ch/jacques.savoy/papers/huipm.pdf
|
|
BASE
|
|
Show details
|
|
14 |
Lexical Analysis of Obama's and McCain's Speeches
|
|
|
|
In: http://members.unine.ch/jacques.savoy/Papers/USspeeches.pdf
|
|
BASE
|
|
Show details
|
|
15 |
UniNE at FIRE 2010: Hindi, Bengali, and Marathi IR
|
|
|
|
In: http://www.isical.ac.in/~fire/paper_2010/Dolamic-UniNE-fire2010.pdf
|
|
BASE
|
|
Show details
|
|
16 |
Stemming Approaches for East European Languages
|
|
|
|
In: http://clef.isti.cnr.it/2007/working_notes/DolamicCLEF2007.pdf
|
|
BASE
|
|
Show details
|
|
17 |
UniNE at CLEF 2009: Persian Ad Hoc Retrieval and IP
|
|
|
|
In: http://ceur-ws.org/Vol-1175/CLEF2009wn-Miscellaneous-DolamicEt2009.pdf
|
|
BASE
|
|
Show details
|
|
18 |
S.: UniNE at CLEF 2006: Experiments with Monolingual, Bilingual, Domain-Specific and Robust Retrieval
|
|
|
|
In: http://www.samir-abdou.net/papers/savoyCLEF2006.pdf
|
|
Abstract:
For our participation in this CLEF evaluation campaign, the first objective was to propose and evaluate various indexing and search strategies for the Hungarian language in order to produce better retrieval effectiveness than language-independent approach (n-gram). Using both a new stemmer including some derivational suffixes removals, and a more aggressive automatic decompounding scheme, we were able to produce better retrieval effectiveness than corresponding 4-gram indexing scheme. Our second objective was to obtain a better picture of the relative merit of various search engines with the French, Brazilian/Portuguese and Bulgarian languages. To do so we evaluated these test-collections using the Okapi, Divergence from Randomness (DFR) and language model (LM) models together with nine vector-processing approaches. After pseudo-relevance feedback, either the DFR or the LM approach tends to produce the best IR performance. For the Bulgarian language, we also found that word-based indexing proposes usually better retrieval effectiveness than corresponding 4-gram indexing. In the bilingual track, we evaluated the effectiveness of various machine translation systems to automatically translate a query submitted in English into the French and Portuguese languages.
|
|
Keyword:
Categories and Subject Descriptors H.3.1 [Content Analysis and Indexing; Indexing methods; Linguistic processing. I.2.7 [Natural Language Processing
|
|
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.630.1539 http://www.samir-abdou.net/papers/savoyCLEF2006.pdf
|
|
BASE
|
|
Hide details
|
|
19 |
Multilingual Information Retrieval with Asian Languages
|
|
|
|
In: http://www3.riao.org/Proceedings-2004/papers/0050.pdf
|
|
BASE
|
|
Show details
|
|
20 |
UniNE at CLEF 2008: TEL, Persian and Robust IR,” in Carol Peters et al. (Eds.): Evaluating Systems for Multilingual and
|
|
|
|
In: http://clef.isti.cnr.it/2008/working_notes/Dolamic-paperCLEF2008.pdf
|
|
BASE
|
|
Show details
|
|
|
|