9 Best Natural Language Processing Books
Goal: Find the best Natural Language Processing books according to the internet (not just one person's opinion).
Method:
- Search for "best natural language processing books" and study the top 5+ pages.
- Add only the books mentioned 2+ times.
- Rank the results neatly here.
9 Best Natural Language Processing Books
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Natural Language Processing with Python
Analyzing Text with the Natural Language Toolkit
by Steven Bird
Linguistic Fundamentals for Natural Language Processing
100 Essentials from Morphology and Syntax
by Emily M. Bender
Neural Network Methods in Natural Language Processing
by Yoav Goldberg
Speech and Language Processing
by Daniel Jurafsky
Foundations of Statistical Natural Language Processing
by Christopher D. Manning
Natural Language Processing in Action
Understanding, Analyzing, and Generating Text With Python
by Hannes Hapke
Natural Language Processing with PyTorch
Build Intelligent Language Applications Using Deep Learning
by Delip Rao
Statistical Methods for Speech Recognition
Language, Speech, and Communication
by Frederick Jelinek
The Handbook of Computational Linguistics and Natural Language Processing
by Alexander Clark
Sources
- 1
5 Fantastic Natural Language Processing Books - KDnuggets
kdnuggets.com
- 2
Natural Language Processing Books - 5 Best Books You Should Read
folio3.ai
- 3
Top Books on Natural Language Processing - MachineLearningMastery.com
machinelearningmastery.com
- 4
The Best NLP Books | Udacity
udacity.com
- 5
Learnarticlesnatural language processing books
tableau.com
Edited by
Software engineer whose passion for tracking book recommendations from podcasts inspired the creation of MRB.
Lead investor at 3one4 Capital whose startup expertise and love for books helped shaped MRB and its growth.
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