An Open Distributed Architecture for Reuse and Integration of Heterogeneous NLP Components

摘要

The shift from Computational Linguistics to Language Engineering is indicative of new trends in NLP. This paper reviews two NLP engineering problems: reuse and integration, while relating these concerns to the larger context of applied NLP. It presents a software architecture which is geared to support the development of a variety of large-scale NLP applications: Information Retrieval, Corpus Processing, Multilingual MT, and integration of Speech Components.