Jupyter Notebooks for NLP, AI, and Computational Linguistics

Notebooks and Code Collection

You can find the first set of HTML-converted Jupyter Notebooks on this site. The GitHub repo contains all the original Jupyter Notebooks. I am expanding and correcting the material continuously. This is a collection of mainly Python 3.x examples that accompanies my courses in NLP. The Java, Scala, or C++ examples will follow soon.

The following HTML-converted notebooks are available:

• (Naive) Bayesian Classifier
• Flair Basics
• Flair Training Sequence Labeling
• Flair Tutorial on Document Classification
• Linear Algebra - Eigenvalues and Eigenvectors
• Linear Algebra
• PCFG Parsing with NLTK
• Perceptron Learning in Python
• Python: Clustering with Scikit-learn
• Python: Examples and Notes for Machine Learning for Computational Linguistics
• Python: Feature Extraction for Timbl (Class session notes)
• Python: NLTK Texts and Frequencies
• Python: Parsing with NLTK and Foma
• Python: SVM Classifier Example
• Python: Text Similarities
• Python: Tokens and N-grams
• Python: Tutorial HMM
• Python: Tutorial on PoS Tagging