What are some good books for an NLP engineer?

  1. Speech and Language Processing - Daniel Jurafsky and James H. Martin are the authors. Amazon | Site | Site A deep-dive tutorial on the subject of language processing is provided by one of the most extensively referred and recommended NLP books, published by Stanford University professor Dan Jurafsky and University of Colorado professor James Martin.
  2. Natural language Understanding - Author: James Allen. This book is another introductory guide to NLP and considered a classic.
  3. Handbook of Natural Language Processing - Nitin Indurkhya and Fred J. Damerau are the authors. This complete, up-to-date “Handbook of Natural Language Processing” provides tools and strategies for creating and implementing practical natural language processing in computer systems.
  4. The Handbook of Computational Linguistics and Natural Language Processing - Nitin Indurkhya and Fred J. Damerau are the authors. This complete, up-to-date “Handbook of Natural Language Processing” provides tools and strategies for creating and implementing practical natural language processing in computer systems.
  5. The Oxford Handbook of Computational Linguistics - Ruslan Mitkov is the author of this piece. This guidebook explains important computational linguistics principles, techniques, and applications in a way that students and non-specialists can understand.
    2022-03-05T18:30:00Z