Memory-based language processing: introduction
Walter M. P. Daelemans · 1999
Memory-Based Language Processing (MBLP) views language processing as being based on the direct reuse of previous experience rather than on the use of rules or other structures extracted from that experience. In such a framework, language acquisition is modeled as the storage of examples in memory, and language processing as analogical or similarity-based reasoning. We briefly discuss the properties and origins of this family of techniques, and provide an overview of current approaches and issues. 1 Empirical Natural Language Processing Natural Language Processing (NLP) studies the knowledge representation and problem solving issues involved in learning, producing, and understanding language. Language Technology, or Language Engineering, uses the formalisms and theories developed within NLP in applications ranging from spelling error correction to machine translation and automatic extraction of knowledge from text. Although the origins of NLP are both logical and statistical, as in o...