Integrates key techniques and technologies of symbolic, statistical, and artificial neural network approaches to natural language processing (NLP)-facilitating the comparison and selection of computational language processing systems.
Comprehensive in scope, this up-to-date Handbook thoroughly explores the design and application of natural language text-based processing systems based on generative linguistics, empirical corpus analysis, and artificial neural networks.
Emphasizes the practical tools and methodologies to accommodate the selected system!
Adopting a historically based structure to the approaches of NLP, each self-contained section of the Handbook of Natural Language Processing provides
- an introductory overview of the approach discussed
- details of fundamental concepts and procedures appropriate to the approach
- specific applications where the approach has been used successfully
