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Course Materials - Fall 2024

NLP 701: Natural Language Processing

 TB = Textbook or Required reading                     REF = Reference or supplemental reading

Status        Title eBook

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Call Number

                             

I. Goodfellow, Y. Bengio and, A. C. Courville, Deep Learning. MIT Press, 2016.  Open Access Yes Q323.5 .G66 2016
C. Manning et al., Foundation of Statistical Natural Language Processing. MIT Press, 1999.  ProQuest
Yes
P 98.5.S83M36 1999

Cover image D. Jurafsky and J. H. Martin, Speech and Language Processing (3rd edition, draft), 2023. Open Access

Yes

P 98.J87 2009
A. Géron, Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems. 2nd ed., O'Reilly Media, 2019. O'Reilly Yes QA 76.73.P98 S533 2019
         Cover image

J. Perkins, Python 3 Text Processing with NLTK 3 Cookbook. 2nd ed., Birmingham, UK: Packt Publishing, 2014.

O'Reilly Yes QA76.73.P98.P47 2014
Deep Learning with Python F. Chollet, Deep Learning with Python. Manning Publications Co., 2017 O'Reilly Yes QA 76.73.P98 C465 2021 
Natural Language Processing: A Machine Learning Perspective
Y. Zhang, and Z. Teng, Natural Language Processing: A Machine Learning Perspective. Cambridge University Press, 2021. NA Yes QA 76.9 .N38 Z43 2021
Introduction to Natural Language Processing
J. Eisenstein, Introduction to Natural Language Processing. MIT Press, 2019. NA

Yes

 

QA 76.9.N38 E46 2019