Workshop on Hybrid Approaches to Translation: Overview and Developments

A current increasing trend in machine translation is to combine data-driven and rule-based techniques. Such combinations typically involve the hybridization of different paradigms such as, for instance, the introduction of linguistic knowledge into statistical paradigms, the incorporation of data-driven components into rulebased paradigms, or the preand postprocessing of either sort of translation system outputs. Aiming at bringing together researchers and practitioners from the different multidisciplinary areas working in these directions, as well as at creating a brainstorming and discussion venue for Hybrid Translation approaches, the HyTra initiative was born. This paper gives an overview of the Second Workshop on Hybrid Approaches to Translation (HyTra 2013) concerning its motivation, contents and outcomes.