This paper studies cross-language cross-medium information retrieval. We introduce several approaches to unify the languages and media of queries and documents. We experiment on cross-language image retrieval via spoken query. Two approaches are proposed to recognize and translate spoken queries. We also propose a similarity-based approach to identify and backward transliterate named entities in a spoken query.