This paper presents our bilingual question-answering system MUSCLEF. We underline the difficulties encountered when shifting from a mono to a cross-lingual system, then we focus on the evaluation of three modules of MUSCLEF: question analysis, answer extraction and fusion. We finally present how we re-use different modules of MUSCLEF to participate to AVE (Answer Validation Exercise). 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; I.2 [Artificial Intelligence]: I.2.7 Natural Language Processing General Terms Measurement, Performance, Experimentation Keywords Question answering, evaluation, multi-word expressions