Top 10 Natural Language Processing (NLP) Books for Beginners and Experts

'Speech and Language Processing' by Dan Jurafsky and James H. Martin
'Foundations of Statistical Natural Language Processing' by Christopher D. Manning and Hinrich Schtze
'Natural Language Processing with Python' by Steven Bird, Ewan Klein, and Edward Loper
'Handbook of Natural Language Processing' edited by Nitin Indurkhya and Fred J. Damerau
'Deep Learning for Natural Language Processing' by Palash Goyal, Sumit Pandey, and Karan Jain
'Applied Natural Language Processing: Identification, Investigation and Resolution' by Andy Hunt and Dave Cross
'Neural Network Methods for Natural Language Processing' by Yoav Goldberg
'Introduction to Natural Language Processing' by Jacob Perkins
'The Oxford Handbook of Computational Linguistics' edited by Ruslan Mitkov
'Text Mining and Analysis: Practical Methods, Examples, and Case Studies Using SAS' by Goutam Chakraborty, Murali Pagolu, and Satish Garla.