This work deals with automatic Dialogue Act (DA) recognition in Czech and in French. The first main contribution of this work is to propose and compare several approaches that recognize dialogue acts based on three types of information: lexical, prosodic and word positions. These approaches are tested on the Czech Railways dialogue act corpus. The experimental results confirm that every type of feature bring relevant and somewhat complementary information. The proposed methods that take into account word positions are especially interesting, as they bring global information about the...