This year, we have participated on multilingual two years on and Multi-8 merging-only CLEF task. Our main interest has been to test several usual CLIR tasks and investigate how they affect to the final performance of the multilingual system. 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. The obtained results show that by means of improving merging algorithms and translation resources we reach better results than improving other CLIR modules such as IR engines or the expansion of queries. Categories and Subject Descriptors H.3 [Information Storage and Retrieval]: H.3.1 Content Analysis and Indexing; H.3.3 Information Search and Retrieval; H.3.4 Systems and Software; H.3.7 Digital Libraries General Terms Algorithms, Languages, Performance, Experimentation Keywords Information Retrieval, Cross Language Information Retrieval, Collec...