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1
Comparative Study of Monolingual and Multilingual Search Models for Use with Asian Languages
In: http://members.unine.ch/jacques.savoy/papers/clirtalip.pdf (2005)
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2
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)
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3
Report on CLEF-2003 multilingual tracks
In: http://www.unine.ch/info/Gi/Papers/CLEF2003Multi.pdf (2004)
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4
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)
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5
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)
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6
Report on clef-2002 experiments: Combining multiple sources of evidence
In: http://www.clef-campaign.org/workshop2002/WN/3.pdf (2002)
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7
Report on clef-2002 experiments: Combining multiple sources of evidence
In: http://members.unine.ch/jacques.savoy/papers/clef2002rv.pdf (2002)
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8
Report on CLEF-2001 Experiments
In: http://www.ercim.org/publication/ws-proceedings/CLEF2/savoy.pdf (2001)
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9
Report on CLEF-2001 Experiments
In: http://www.unine.ch/info/Gi/Papers/CLEF2001.pdf (2001)
Abstract: . For our first participation in CLEF retrieval tasks, our first objective was to define a general stopword list for various European languages (namely, French, Italian, German and Spanish) and also to suggest simple and efficient stemming procedures for them. Our second aim was to suggest a combined approach that might be implemented in order to facilitate effective access to multilingual collections. 1. Monolingual indexing and search Most European languages (including French, Italian, Spanish, German) share many of the same characteristics as does the language of Shakespeare (e.g., word boundaries marked in a conventional manner, variant word forms generated by adding suffixes to the end of a root, etc.). Any adaptation of indexing or search strategies thus means the elaboration of general stopword lists and fast stemming procedures. Stopword lists contain nonsignificant words that are removed from a document or a request before the indexing process is begun. Stemming procedures try to remove inflectional and derivational suffixes in order to conflate word variants into the same stem or root. This first chapter will deal with these issues and is organized as follows: Section 1.1 contains an overview of our five test collections while Section 1.2 describes our general approach to building stopword lists and stemmers for use with languages other than English. Section 1.3 depicts the Okapi probabilistic model together with the description of the runs submitted by us in the monolingual track. 1.1. Overview of the test-collections The corpora used in our experiments included newspapers such as the Los Angeles Times, Le Monde (French), La Stampa (Italian), Der Spiegel and Frankfurter Rundschau (German) and EFE (Spanish) and various news items edited by the Swiss news a.
URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.21.2474
http://www.unine.ch/info/Gi/Papers/CLEF2001.pdf
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10
Domain-Specific IR for German, English and Russian Languages
In: http://www.clef-campaign.org/2007/working_notes/FautschCLEF2007.pdf
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11
UniNE at CLEF 2006: Experiments with Monolingual, Bilingual, Domain- Specific and Robust Retrieval
In: http://members.unine.ch/jacques.savoy/papers/clef2006wp.pdf
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12
Searching Strategies for the Hungarian Language
In: http://members.unine.ch/jacques.savoy/papers/huipm.pdf
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13
Lexical Analysis of Obama's and McCain's Speeches
In: http://members.unine.ch/jacques.savoy/Papers/USspeeches.pdf
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14
UniNE at FIRE 2010: Hindi, Bengali, and Marathi IR
In: http://www.isical.ac.in/~fire/paper_2010/Dolamic-UniNE-fire2010.pdf
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15
Stemming Approaches for East European Languages
In: http://clef.isti.cnr.it/2007/working_notes/DolamicCLEF2007.pdf
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16
UniNE at CLEF 2009: Persian Ad Hoc Retrieval and IP
In: http://ceur-ws.org/Vol-1175/CLEF2009wn-Miscellaneous-DolamicEt2009.pdf
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17
S.: UniNE at CLEF 2006: Experiments with Monolingual, Bilingual, Domain-Specific and Robust Retrieval
In: http://www.samir-abdou.net/papers/savoyCLEF2006.pdf
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18
Multilingual Information Retrieval with Asian Languages
In: http://www3.riao.org/Proceedings-2004/papers/0050.pdf
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19
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
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20
Opinion and Polarity Detection within Far-East Languages in NTCIR-7
In: http://research.nii.ac.jp/ntcir/workshop/OnlineProceedings7/pdf/NTCIR7/C2/MOAT/21-NTCIR7-MOAT-ZubaryevaO.pdf
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