Integrating language resources is a critical part in building natural language processing applications. Processing pipeline and service composition are two approaches for sharing and combining language resources. However, each approach has its drawback. While the former lacks consideration about property rights of language resources, the later is not efficient to process and transfer huge amount of data through web services. In this paper we address the issue of interoperability between two

more »

... oaches to mutually complement their disadvantages. We show an integration of service composition and processing pipeline, and how the integration can be used to help developers seamlessly build NLP applications. We then present a case study that adopts the integration to integrate two representative frameworks: the Language Grid and UIMA.