Classical & Statistical NLP
A 16-module path through classical & statistical nlp, in study order from foundations to the frontier.
Modules
- The NLP Problem and Linguistic Structure
- Text Preprocessing and Tokenization
- Morphology and Stemming
- N-gram Language Models
- Smoothing for Language Models
- Perplexity
- The Bag-of-Words Model
- TF-IDF Weighting
- Text Classification Fundamentals
- Naive Bayes for Text
- Part-of-Speech Tagging
- Hidden Markov Models
- The Viterbi Algorithm
- Named-Entity Recognition
- Syntactic Parsing
- Dependency Parsing