Jurafsky and Martin: Speech and Language Processing

Metadata

• Title: Speech and Language Processing

• Authors: Dan Jurafsky and James H. Martin

• Publication Year: 2021 (draft of 3rd edn.)

• Publisher: Self-Published Draft

Abstract

Book is available at the author’s page

The book is the main textbook used in cm3060 Natural Language Processing, it offers a full overview of the field of NLP.

Chapter Notes

• Chapter 01: Introduction

• Chapter 02: Regular Expressions, Text Normalization, Edit Distance

• Chapter 03: N-gram Language Models

• Chapter 04: Naive Bayes and Sentiment Classification

• Chapter 05: Logistic Regression

• Chapter 06: Vector Semantics and Word Embeddings

• Chapter 07: Neural Networks and Neural Language Models

• Chapter 08: Sequence Labeling for Parts of Speech and Named Entities

• Chapter 09: DL Architectures for Sequence Processing

• Chapter 12: Constituency Grammars

• Chapter 13: Constituency Parsing

• Chapter 14: Dependency Parsing

• Chapter 17: Information Extraction

• Chapter 18: Word Senses and WordNet

• Chapter 20: Lexicons for Sentiment, Affect, and Connotation

• Chapter 24: Chatbots and Dialogue Systems