Textbooks

1. Speech and Language Processing - An Introduction to Natural Language Processing, Computational Linguistics and Speech Recognition
BY: Daniel Jurafsky and James H. Martin - Chapter 7, 8
Comprehensive coverage of chunking, sequence labeling, and NLP fundamentals.

2. Foundations of Statistical Natural Language Processing
BY: Christopher D. Manning and Hinrich Schütze - Chapter 6, 7
Statistical approaches to chunking and sequence modeling.

3. Natural Language Processing - A Paninian Perspective
BY: Akshar Bharti, Vineet Chaitanya and Rajeev Sangal - Chapter 4
Indian perspective on NLP with focus on chunking and shallow parsing.

4. Linguistics: An Introduction to Language and Communication
BY: Adrian Akmajian, Richard A. Demers, Ann K. Farmer, and Robert M. Harnish
Overview of linguistic concepts including phrase structure and chunking.

Video Lectures and Online Courses

NPTEL Courses:

• Natural Language Processing - IIT Bombay
• Computational Linguistics - IIT Madras

MIT OpenCourseWare:

• Introduction to Linguistics - MIT
• Natural Language Processing - MIT

YouTube EDU Channels:

• Crash Course Linguistics - Phrase structure episodes
• The Virtual Linguistics Campus - University of Marburg
• Sequence Labeling with CRFs
• Hidden Markov Models Explained

Research Papers and Articles

1. Parsing by Chunks
BY: Steven Abney (1991) PDF

2. Shallow Parsing with Conditional Random Fields
BY: F. Sha & F. Pereira (2003) PDF

3. Chunking (computational linguistics)
Wikipedia

4. Stanford NLP Chunking Tutorial
Stanford NLP

5. Language Technologies Research Center, IIIT-H
IIIT-H LTRC