Speech and Language Processing
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.
Praktische info:
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Leertraject
Lesgevers / sprekers
Daniel Jurafsky
Daniel Jurafsky is a professor of linguistics and computer science at Stanford University, and also an author. With Daniel Gildea, he is known for developing the first automatic system for semantic role labeling (SRL). He is the author of The Language of Food: A Linguist Reads the Menu (2014) and a textbook on speech and language processing (2000).
James H. Martin
My research addresses natural language processing (NLP) with a focus on computational semantics and its application to problems in healthcare and education.
I am the co-author with Dan Jurafsky of a popular textbook on NLP: Speech and Language Processing: An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition, currently being revised for a 3rd edition.
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