Memory-Based Language Processing (Paperback)

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.

基於記憶的語言處理是一種機器學習和解決語言技術問題的方法，其基本理念是直接重用例子並使用類比推理來解決語言處理問題，比從這些例子中提取規則應用更適合。本書討論了基於記憶的語言處理的理論和實踐，展示了它相對於其他語言建模方法的優勢。語言是複雜的，很少有概括性的規則，有許多次規則和例外情況，基於記憶的語言處理的優勢在於它不會將這些有價值的低頻信息抽象化。