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 8
Comprehensive coverage of Part-of-Speech tagging algorithms and Hidden Markov Models.

2. Foundations of Statistical Natural Language Processing
BY: Christopher D. Manning and Hinrich Schütze - Chapter 10
Statistical methods in NLP with detailed coverage of POS tagging techniques.

3. Natural Language Processing with Python
BY: Steven Bird, Ewan Klein and Edward Loper - Chapter 5
Practical implementation of POS taggers using NLTK library.

4. An Introduction to Information Retrieval
BY: Christopher Manning, Prabhakar Raghavan, and Hinrich Schütze
Comprehensive coverage of text processing including POS tagging applications.

Video Lectures and Online Courses

NPTEL Courses:

• Natural Language Processing - IIT Bombay
• Machine Learning for Natural Language Processing - IIT Kharagpur

Stanford University:

• CS224N: Natural Language Processing - Stanford
• CS229: Machine Learning - Stanford (for HMM and CRF fundamentals)

YouTube EDU Channels:

• Dan Jurafsky NLP Lectures - POS tagging episodes
• Natural Language Processing - University of Michigan

Research Papers and Articles

1. A Tutorial on Hidden Markov Models and Selected Applications
BY: Lawrence R. Rabiner
Proceedings of the IEEE, Vol. 77, No. 2, 1989

2. Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data
BY: John Lafferty, Andrew McCallum, Fernando Pereira
ICML 2001

3. TnT: A Statistical Part-of-Speech Tagger
BY: Thorsten Brants
ANLP 2000

Online Resources and Tools

Academic Resources:

• ACL Anthology - Research papers in computational linguistics
• Universal Dependencies - Multi-language POS annotation standards
• Penn Treebank - Standard POS tagging dataset

Interactive Tools:

• spaCy Online Demo - Interactive POS tagging visualization
• Stanford CoreNLP - Online POS tagger demo
• NLTK POS Tagger - Python library for POS tagging

Language Learning Resources:

• Hindi POS Tagset - Hindi linguistic resources
• English Grammar Guide - Parts of speech reference

Additional Reading

For Advanced Study:

• "Natural Language Understanding" by James Allen - Comprehensive NLP textbook
• "Handbook of Natural Language Processing" edited by Nitin Indurkhya and Fred J. Damerau
• "Introduction to Modern Information Retrieval" by G.G. Chowdhury

For Indian Languages:

• "Computational Processing of the Hindi Language" by Akshar Bharati
• "Natural Language Processing - A Paninian Perspective" by Akshar Bharti, Vineet Chaitanya and Rajeev Sangal
• "Hindi Computational Linguistics" by various authors from LTRC, IIIT Hyderabad

Practice Resources

Corpora and Datasets:

• Hindi WordNet - Hindi semantic network
• English WordNet - English semantic database
• CoNLL Shared Task Data - Standard evaluation datasets

Assessment and Practice:

• NLTK Book Exercises - Hands-on POS tagging exercises
• spaCy Tutorials - Practical implementation guides
• Kaggle NLP Competitions - Real-world POS tagging challenges