Part-of-Speech Tagging #
This page is a structured learning template. Replace the comments with clear explanations, examples, formulas, diagrams, and practical insights while keeping the Hugo shortcodes intact.
Learning Objectives #
- Identify common English word classes and Penn Treebank POS tags.
- Explain POS tagging as a sequence-labelling task.
- Describe Markov chains and hidden Markov models.
- Relate transition and emission probabilities to HMM POS tagging.
Chapter Map #
| Section | Topic | Status |
|---|---|---|
| 1 | (Mostly) English Word Classes | ☐ |
| 2 | The Penn Treebank Part-of-Speech Tag Set | ☐ |
| 3 | Part-of-Speech Tagging | ☐ |
| 4 | Markov Chains | ☐ |
| 5 | The Hidden Markov Model | ☐ |
| 6 | HMM Part-of-Speech Tagging | ☐ |
Big Picture #
1. (Mostly) English Word Classes ☆ #
Definition #
Intuition #
Key Concepts #
Formula or Model #
Worked Example #
Why It Matters in NLP #
Key Points to Remember #
2. The Penn Treebank Part-of-Speech Tag Set ☆ #
Definition #
Intuition #
Key Concepts #
Formula or Model #
Worked Example #
Why It Matters in NLP #
Key Points to Remember #
3. Part-of-Speech Tagging ☆ #
Definition #
Intuition #
Key Concepts #
Formula or Model #
Worked Example #
Why It Matters in NLP #
Key Points to Remember #
4. Markov Chains ☆ #
Definition #
Intuition #
Key Concepts #
Formula or Model #
Worked Example #
Why It Matters in NLP #
Key Points to Remember #
5. The Hidden Markov Model ☆ #
Definition #
Intuition #
Key Concepts #
Formula or Model #
Worked Example #
Why It Matters in NLP #
Key Points to Remember #
6. HMM Part-of-Speech Tagging ☆ #
Definition #
Intuition #
Key Concepts #
Formula or Model #
Worked Example #
Why It Matters in NLP #
Key Points to Remember #
Practical Exploration #
Tag text using NLTK or spaCy and compare the result with a simple HMM-based tagger.
# Add a minimal, well-commented Python example here.
Comparison Table #
| Concept or Model | Main Idea | Strength | Limitation | Typical Use |
|---|---|---|---|---|
Common Mistakes #
Practice Questions #
Key Takeaways #
Understanding Checklist #
- I can explain (Mostly) English Word Classes without referring to notes.
- I can explain The Penn Treebank Part-of-Speech Tag Set without referring to notes.
- I can explain Part-of-Speech Tagging without referring to notes.
- I can explain Markov Chains without referring to notes.
- I can explain The Hidden Markov Model without referring to notes.
- I can explain HMM Part-of-Speech Tagging without referring to notes.