Memory-Based Language Processing

Memory-based language processing--a machine learning and problem solving method for language technology--is based on the idea that the direct re-use 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.

• The first comprehensive book on memory-based language processing
• Combines theory with practice, backed up by examples and software on an accompanying web page
• Summarizes more than ten years of articles and papers on the topic, and provides new extensions to the method