Python for Computational Linguists

An Introductory Python course for Computational Lingustics.

Syllabus

Module 1 : Introduction to Python for Computational Linguists

	Title	Colab	Binder
1.1	About the Course
1.2	Introduction to Python
1.3	Basic NLP with Python
1.4	Working with Corpus Data

Module 2 : Naive Bayes and POS Tagging

	Title	Colab	Binder
2.1	Naive Bayes
2.2	Sentiment Analysis
2.3	POS Tagging

Configuration

Note: this applies ONLY if you plan to run the course locally on your own machine. For now, we recommend accessing the course materials with Colab or Binder (see above).

For this project we will use Python 3.6+. The project structure is:

.
├── CONTRIBUTING.md
├── corpora
├── LICENSE
├── module_1
│   ├── module_1.1
│   ├── ...
│   └── module_1.4
├── ...
├── module_4
├── README.md
├── requirements.txt
├── resources
└── Templates

You should look into the folders module_x. Each module is divided in many submodules, and each module_x.y folder contains the the Jupyter notebooks you will run during the course. The folder corpora contains the corpora you will use for this course.

The other resources contained in the present repository are:

• README.md is the present file;
• requirements.txt contains all the Python libraries required to run the code. You will use this file when installing Python libraries on your machine;
• The file CONTRIBUTING.md and the folders Templates and resources contain the guidelines and the resources we used to write this course.
• LICENSE contains a copy of the CC BY-NC 4.0 License.

License

The content in this repository is released under the CC BY-NC 4.0 license.

The icons used are made by Freepik from www.flaticon.com and are licensed with a CC 3.0 BY permissive license.