Applied Language Technology documentation
About this Website
Getting Started
1. Log in to CSC Notebooks
2. Launch your personal server
3. Retrieve learning materials and exercises from GitHub
4. Interact with the learning materials on Jupyter Notebooks
5. Return completed exercises to GitHub for grading
Part I: A Minimal Introduction to Python
The elements of a Jupyter Notebook
Getting started with Python
Part II: Working with Text in Python
Manipulating text using Python
Manipulating text at scale
Basic natural language processing using spaCy
Evaluating language models
Managing textual data using
pandas
Part III: Natural Language Processing for Linguists
.rst
.pdf
Return exercises to GitHub
5.
Return exercises to GitHub
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Launch a Jupyter Notebook
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Part I: A Minimal Introduction to Python