This paper reports on the participation of ITC-irst in the Italian monolingual retrieval track and in the bilingual English-Italian track of the Cross Language Evaluation Forum (CLEF) 2002. A cross- language information retrieval systems is proposed which integrates re- trieval and translation scores over the set of N-best translations of the source query. Retrieval scores result as a combination of a statistical lan- guage model and a standard Okapi model. Translations are computed by a hidden Markov model, which is trained on a bilingual dictionary and the target document collection.
['Nicola Bertoldi', 'Marcello Federico']
ITC-irst at CLEF 2002: Using N -best query translations for CLIR