Automatic processing of under-resourced languages

Until recently, most of the research work in Natural Language Processing (NLP) has been focused on a few well-described languages with many speakers. The situation is rapidly evolving, with a clear increase in the interest towards so called "under-resourced" languages. The goal of this issue of the Traitement Automatique des Langues journal is to give an overview of current research on NLP for under-resourced languages from all over the world, encompassing a large variety of tasks. The selected papers address languages which are still at very early stages as well as languages whose situation has very recently improved. We hope that they can be helpful to guide future research on other languages with little or no resources and tools.