An open distributed architecture for reuse and integration of heterogeneous NLP components
Rémi Zajac, Mark Casper, Nigel Sharples · 1997
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.