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NLP-E

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KIV/NLP-E

Advanced Natural Language Processing

Guarantors: Ing. Miloslav Konopík, Ph.D.

Course literature KIV/NLP-E -IS/STAG

Basic
Jurafsky, Daniel; Martin, James H., Speech and language processing : an introduction to natural language processing, computational linguistics, and speech recognition , Upper Saddle River : Pearson/Prentice Hall 2009
Recommended
Yoav Goldberg, A Primer on Neural Network Models for Natural Language Processing 2015
Ian Goodfellow, Yoshua Bengio, Aaron Courville, Deep Learning (Adaptive Computation and Machine Learning series) , MIT press 2016
François Chollet, Deep Learning with Python 2017
Christopher D. Manning and Hinrich Schütze, Foundations of Statistical Natural Language Processing , MIT Press, Cambridge, MA, USA 1999
Aurélien Géron, Hands-On Machine Learning with Scikit-Learn and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems , O'Reilly Media 2017
Jacob Eisenstein, Introduction to Natural Language Processing (Adaptive Computation and Machine Learning series) , MIT Press 2019
Delip Rao, Brian McMahan, Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning

Additional Course Literature

Ian Goodfellow, Yoshua Bengio, and Aaron Courville. Deep Learning. MIT Press. Online: https://www.deeplearningbook.org
Stanford CS224n — Deep Learning for Natural Language Processing (lecture series). YouTube playlist: https://www.youtube.com/playlist?list=PLoROMvodv4rOSH4v6133s9LFPRHjEmbmJ
Yoav Goldberg. Neural Network Methods for Natural Language Processing. Springer, 2017.
Jacob Eisenstein. Natural Language Processing. MIT Press. Online notes: https://github.com/jacobeisenstein/gt-nlp-class/blob/master/notes/eisenstein-nlp-notes.pdf
Lewis Tunstall, Leandro von Werra, and Thomas Wolf. Natural Language Processing with Transformers. Online: https://transformersbook.com/
Delip Rao and Brian McMahan. Natural Language Processing with PyTorch: Build Intelligent Language Applications Using Deep Learning. O’Reilly. Free trial: https://www.oreilly.com/library/view/natural-language-processing/9781491978221/. Examples: https://github.com/delip/PyTorchNLPBook
Michael A. Nielsen. Neural Networks and Deep Learning. Online: http://neuralnetworksanddeeplearning.com/
PyTorch Colab quickstart (Medium): https://medium.com/dair-ai/pytorch-1-2-quickstart-with-google-colab-6690a30c38d
Palková, Zdena. Fonetika a fonologie češtiny. Praha: Karolinum, 1994. ISBN: 80-7066-843-1.

Last updated: 20.11.2025

Studijní materiály

Natural language processing (NLP) and using the machine learning approach for this task. (258KB)

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