View a draft on Jurafsky’s Stanford web page. This is the second edition and Jurafsky and Martin are working on the third with a targeted completion later this year. However, it’s a must-read for anyone diving into the theory and application of language processing as they grow and strengthen their analytics capabilities. It’s intended to accompany undergraduate or advanced graduate courses in NLP or Computational Linguistics. Martin Website: Site | Amazon One of the most widely referenced and recommended NLP books, written by Stanford University professor Dan Jurafsky and University of Colorado professor James Martin, provides a deep-dive guide on the subject of language processing. “ Speech and Language Processing”Īuthors: Daniel Jurafsky and James H. Here are eight great books to broaden your knowledge and become familiar with the opportunities that NLP creates for individuals, business, and society. Books can increase your overall data literacy and contain fundamental background offering readers a great introduction to NLP or clarity on major theories and real-life examples. Increased attention with NLP means more online resources are available, but sometimes a good book is needed to get grounded in a subject this complex and multi-faceted. Reference Materials Toggle sub-navigationĪs momentum for machine learning and artificial intelligence accelerates, natural language processing (NLP) plays a more prominent role in bridging computer and human communication.Teams and Organizations Toggle sub-navigation.
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