Handbook of Statistics Vol. 38 Computational Analysis and Understanding of Natural Languages Principles, Methods and Applications

Edited by Venkat N. Gudivada, C.R. Rao
Volume 38,
Pages 2-515 (2018)

Chapter 1 - Linguistics: Core Concepts and Principles
Chapter 2 - Languages and Grammar
Chapter 3 - Open-Source Libraries, Application Frameworks, and Workflow Systems for NLP
Chapter 4 - Mathematical Essentials
Chapter 5 - Probability Essentials
Chapter 6 - Inference and Prediction
Chapter 7 - Bayesian Methods
Chapter 8 - Machine Learning
Chapter 9 - Deep Neural Networks for Natural Language Processing
Chapter 10 - Deep Learning for Natural Language Processing
Chapter 11 - Information Retrieval: Concepts, Models, and Systems
Chapter 12 - Natural Language Core Tasks and Applications
Chapter 13 - Linguistic Elegance of the Languages of South India
Chapter 14 - Text Mining for Modeling Cyberattacks



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