Includes Index.

Chapter 1 Introduction
Chapter 2 Representation and NLP
Chapter 3 Shallow Parsing
Chapter 4 Deep Parsing
Chapter 5 Named Entity Recognition
Chapter 6 Natural Language Inference
Chapter 7 Machine Translation
Chapter 8 Sentiment Analysis
Chapter 9 Question Answering
Chapter 10 Conversational AI
Chapter 11 Summarization
Chapter 12 NLP of Incongruous Text
Chapter 13 Large Language Models
Chapter 14 Shared Tasks and Benchmarks
Chapter 15 NLP Dissemination
Index

Striking a balance between foundational insights and applications, the book introduces three generations of NLP—rule-based, statistical, and neural—and approaches in these generations to NLP tasks such as shallow and deep parsing, machine translation, sentiment analysis, summarization, question-answering, and many more. In addition, chapters on large language models, shared tasks, and research dissemination serve as a solid foundation for readers to start their NLP journey. Significant focus has been given to NLP-based solutions which are increasingly finding applications in several domains.