Memory-based language processing /
Walter Daelemans and Antal Van Den Bosch
- Beijing, China : Beijing da xue chu ban she, c2015
- various pagings ; 23 cm.
Includes bibliographical references and index.
Preface -- 1. Memory-Based Learning in Natural Language Processing -- 2. Inspirations from linguistics and artificial intelligence -- 3. Memory and Similarity -- 4. Application to morpho-phonology -- 5. Application to shallow parsing -- 6. Abstraction and generalization -- 7. Extensions -- Bibliography -- Index.
Memory-based language processing - a machine learning and problem solving method for language technology - is based on the idea that the direct reuse of examples using analogical reasoning is more suited for solving language processing problems than the application of rules extracted from those examples. This book discusses the theory and practice of memory-based language processing, showing its comparative strengths over alternative methods of language modelling.