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SINAI at CLEF 2003: Decompounding and Merging [chapter]

Fernando Martínez-Santiago, Arturo Montejo-Ráez, Luis Alfonso Ureña-López, M. Carlos Díaz-Galiano
2004 Lecture Notes in Computer Science  
This paper describes the application of the two-step RSV and mixed two-step RSV merging methods over 8 and 4 multilingual tasks in CLEF 2003.  ...  We study their performance compared to previous studies and approaches.  ...  Conclusion and future work This year, merging approaches and decompounding algorithms have been treated . We have tested 2-step RSV and mixed 2-step RSV with 4-Multi a 8-Multi tasks.  ... 
doi:10.1007/978-3-540-30222-3_18 fatcat:olb2uhonmrdypbjzzpxjujlxha

SINAI at CLEF 2005: Multi-8 Two-Years-on and Multi-8 Merging-Only Tasks [chapter]

Fernando Martínez-Santiago, Miguel A. García-Cumbreras, L. A. Ureña-López
2006 Lecture Notes in Computer Science  
This year, we have participated on multilingual two years on and Multi-8 merging-only CLEF task.  ...  Specifically, we have evaluated the information retrieval model used to obtain each monolingual result, the merging algorithm, the translation approach and the application of query expansion techniques  ...  Thank you very much to Jacques Savoy and Gareth Jones to supply the results of several bilingual experiments for the Multi-8 Merging-only task and the administration of the web place.  ... 
doi:10.1007/11878773_12 fatcat:cy44mlp6ufclrg37meblwg2bbm

SINAI at CLEF 2004: Using Machine Translation Resources with a Mixed 2-Step RSV Merging Algorithm [chapter]

Fernando Martínez-Santiago, Miguel A. García-Cumbreras, Manuel C. Díaz-Galiano, L. Alfonso Ureña
2005 Lecture Notes in Computer Science  
Thus, we propose a straightforward and effective algorithm in order to align the original query and its translation at term level.  ...  This year, we have participated in multilingual CLEF task. Our main interest has been testing Machine Translation (MT) with mixed 2-step RSV merging algorithm.  ...  Acknowledgments This work has been supported by Spanish Government (MCYT) with grant FIT-150500-2003-412. local rank reached by D i at the end of the first step.  ... 
doi:10.1007/11519645_16 fatcat:wjonuqysmjemvcwqjubtnrleh4