Walter Daelemans, Antal van den BoschCambridge University PressEdition: Illustrated, 9/1/2005EAN 9780521808903, ISBN10: 0521808901Hardcover, 198 pages, 22.9 x 15.2 x 1.6 cmLanguage: EnglishMemory-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. Language is complex, with few generalizations, many sub-regularities and exceptions, and the advantage of memory-based language processing is that it does not abstract away from this valuable low-frequency information. By applying the model to a range of benchmark problems, the authors show that for linguistic areas ranging from phonology to semantics, it produces excellent results. They also describe TiMBL, a software package for memory-based language processing. The first comprehensive overview of the approach, this book will be invaluable for computational linguists, psycholinguists and language engineers.1. Memory-based learning in natural language processing2. Inspirations from linguistics and artificial intelligence3. Memory and similarity4. Application to morpho-phonology5. Application to shallow parsing6. Abstraction and generalization7. Extensions.
Related
Related
Related
Related