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Comparative Study of Monolingual and Multilingual Search Models for Use with Asian Languages
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In: http://members.unine.ch/jacques.savoy/papers/clirtalip.pdf (2005)
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Report on CLEF-2005 evaluation campaign: Monolingual, bilingual, and GIRT information retrieval
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In: http://clef.isti.cnr.it/2005/working_notes/workingnotes2005/savoy05.pdf (2005)
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Report on CLEF-2003 multilingual tracks
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In: http://www.unine.ch/info/Gi/Papers/CLEF2003Multi.pdf (2004)
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Selection and Merging Strategies for Multilingual Information Retrieval
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In: https://doc.rero.ch/record/17192/files/Savoy_Jacques_-_Selection_and_Merging_Strategies_for_Multilingual_20100211.pdf (2004)
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Combining Multiple Strategies for Effective Monolingual and Cross-Language Retrieval
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In: https://doc.rero.ch/record/13167/files/Savoy_Jacques_-_Combining_Multiple_Strategies_for_Effective_20091208.pdf (2004)
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Report on clef-2002 experiments: Combining multiple sources of evidence
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In: http://www.clef-campaign.org/workshop2002/WN/3.pdf (2002)
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Report on clef-2002 experiments: Combining multiple sources of evidence
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In: http://members.unine.ch/jacques.savoy/papers/clef2002rv.pdf (2002)
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Report on CLEF-2001 Experiments
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In: http://www.ercim.org/publication/ws-proceedings/CLEF2/savoy.pdf (2001)
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Abstract:
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)
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URL: http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.63.2514 http://www.ercim.org/publication/ws-proceedings/CLEF2/savoy.pdf
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Report on CLEF-2001 Experiments
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In: http://www.unine.ch/info/Gi/Papers/CLEF2001.pdf (2001)
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Domain-Specific IR for German, English and Russian Languages
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In: http://www.clef-campaign.org/2007/working_notes/FautschCLEF2007.pdf
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UniNE at CLEF 2006: Experiments with Monolingual, Bilingual, Domain- Specific and Robust Retrieval
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In: http://members.unine.ch/jacques.savoy/papers/clef2006wp.pdf
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Searching Strategies for the Hungarian Language
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In: http://members.unine.ch/jacques.savoy/papers/huipm.pdf
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Lexical Analysis of Obama's and McCain's Speeches
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In: http://members.unine.ch/jacques.savoy/Papers/USspeeches.pdf
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UniNE at FIRE 2010: Hindi, Bengali, and Marathi IR
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In: http://www.isical.ac.in/~fire/paper_2010/Dolamic-UniNE-fire2010.pdf
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Stemming Approaches for East European Languages
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In: http://clef.isti.cnr.it/2007/working_notes/DolamicCLEF2007.pdf
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UniNE at CLEF 2009: Persian Ad Hoc Retrieval and IP
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In: http://ceur-ws.org/Vol-1175/CLEF2009wn-Miscellaneous-DolamicEt2009.pdf
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S.: UniNE at CLEF 2006: Experiments with Monolingual, Bilingual, Domain-Specific and Robust Retrieval
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In: http://www.samir-abdou.net/papers/savoyCLEF2006.pdf
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Multilingual Information Retrieval with Asian Languages
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In: http://www3.riao.org/Proceedings-2004/papers/0050.pdf
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UniNE at CLEF 2008: TEL, Persian and Robust IR,” in Carol Peters et al. (Eds.): Evaluating Systems for Multilingual and
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In: http://clef.isti.cnr.it/2008/working_notes/Dolamic-paperCLEF2008.pdf
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