This paper describes a prototype system for near-real-time spontaneous, bidirectional translation between spoken English and Pashto, a language presenting many technological challenges because of its lack of resources, including both data and expert knowledge. Development of the prototype is ongoing, and we propose to demonstrate a fully functional version which shows the basic capabilities, though not yet their final depth and breadth.

This paper reports on guiding parser development by extracting information from output of a large-scale parser applied to Wikipedia documents. Data-driven parser improvement is especially important for applications where the corpus may differ from that originally used to develop the core grammar and where efficiency concerns affect whether a new construction should be added, or existing analyses modified. The large size of the corpus in question also brings scalability concerns to the foreground.