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 12
Comprehensive coverage of syntactic parsing and phrase chunking techniques.

2. Foundations of Statistical Natural Language Processing
BY: Christopher D. Manning and Hinrich Schütze - Chapter 11
Statistical approaches to shallow parsing and chunk identification.

3. Natural Language Processing with Python
BY: Steven Bird, Ewan Klein and Edward Loper - Chapter 7
Practical implementation of chunking using NLTK with regex patterns.

4. Introduction to Information Retrieval
BY: Christopher Manning, Prabhakar Raghavan, and Hinrich Schütze
Text processing fundamentals including phrase extraction and chunking.

Video Lectures and Online Courses

NPTEL Courses:

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

Stanford University:

• CS224N: Natural Language Processing - Stanford
• CS224U: Natural Language Understanding - Stanford

YouTube EDU Channels:

• Natural Language Processing Lectures - Chunking episodes
• NLTK Tutorials - Practical chunking examples

Research Papers and Articles

1. Noun Phrase Chunking using Regular Expression Patterns
BY: Steven Abney
Computational Linguistics, Vol. 17, No. 2, 1991

2. Text Chunking using Transformation-Based Learning
BY: Lance Ramshaw and Mitchell Marcus
ACL 1995

3. Memory-Based Shallow Parsing
BY: Walter Daelemans, Sabine Buchholz, Jorn Veenstra
CoNLL 1999

Online Resources and Tools

Academic Resources:

• Penn Treebank - Standard parsing and chunking dataset
• CoNLL Shared Tasks - Chunking evaluation datasets
• Universal Dependencies - Multi-language syntactic annotation

Interactive Tools:

• NLTK Chunking Demo - Interactive chunking patterns
• spaCy Phrase Matcher - Modern chunking techniques
• Stanford Parser Demo - Online parsing and chunking

Practice Resources:

• NLTK Book Chapter 7 - Hands-on chunking exercises
• Python NLTK Tutorials - Step-by-step chunking guide
• Regular Expression Tester - Test chunking patterns

Additional Reading

For Advanced Study:

• "Syntactic Pattern Recognition for Information Extraction" by Mary Elaine Califf
• "Shallow Parsing with Conditional Random Fields" by Fei Sha and Fernando Pereira
• "Introduction to the CoNLL-2000 Shared Task: Chunking" by Erik Tjong Kim Sang

For Indian Languages:

• "Hindi Chunking using CRFs" by various authors from LTRC, IIIT Hyderabad
• "Statistical Approach to Hindi Shallow Parsing" by Bharati et al.
• "Indian Language Text Processing" - Multiple authors, CDAC publications

Practice Resources

Corpora and Datasets:

• CoNLL-2000 Chunking Data - Standard evaluation corpus
• Brown Corpus - Classic English text corpus with chunking annotations
• Hindi Treebank - Hindi syntactic analysis resources

Tools and Libraries:

• NLTK Chunking - Python chunking library
• spaCy Rule-based Matching - Modern pattern matching
• OpenNLP Chunker - Java-based chunking tools