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The difference between speech and language processing and other data processing is use of knowledge of language. In this course, we will study how to describe, process and compute different levels of language knowledge including Phonetics and Phonology, Morphology, Syntax, Semantics, and how the language knowledge is used in speech and language applications such as named entities recognition, machine translation, question.
An explosion of Web-based language techniques, merging of distinct fields, availability of phone-based dialogue systems, and much more make this an exciting time in speech and language processing. The first of its kind to thoroughly cover language technology – at all levels and with all modern technologies – this text takes an empirical approach to the subject, based on applying statistical and other machine-learning algorithms to large corporations. The authors cover areas that traditionally are taught in different courses, to describe a unified vision of speech and language processing. Emphasis is on practical applications and scientific evaluation. An accompanying Website contains teaching materials for instructors, with pointers to language processing resources on the Web. The Second Edition offers a significant amount of new and extended material.