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TIPSTER is an ARPA sponsored program that seeks to develop methods and tools that support analysts in their efforts to filter, process, and analyze ever increasing quantities of text-based information. To this end, government sponsors, contractors, and developers are working to design an architecture specification that makes it possible for natural language processing techniques and tools, from a variety sources, to be integrated, shared, and configured by end-users. The Computing Research Laboratory (CRL) is a longtime contributor to TIPSTER. A significant portion of CRL's research involves work on a variety of natural language processing problems, human-computer interaction, and problems associated with getting technology into the hands of end-users. CRL is using TIPSTER technology to develop OLEADA, which is an integrated set of computer tools designed to support language learners, and instructors. Further, OLEADA has been developed using a task-oriented user-centered design methodology. This paper describes the methodology used to develop OLEADA and the current system's capabilities.