Natural Language Processing 1 (2017-2018)
This repository holds all of the labs for the course NLP1 offered at the University of Amsterdam.
Additional course-related notebook-tutorials will also be found here.
Projects
Please find the project report requirements here.
Labs
Find the labs in the folder. The data for the labs is on Blackboard in the folder course-materials. You will be notified each time a new lab becomes available.
- Lab 1. Getting acquainted with language data and language models
- Lab 2. Hidden markov models
- Lab 3. PCFGs and CKY parsing
- Lab 4. Pointwise mutual information (PMI)
Tutorial
You can find the PyTorch tutorial here.
Required software
Easy installation
The easiest way to get the required software is to install Anaconda. We highly advise this: it contains Python and all required packages. Please choose python 3.6.
Manually install packages
You can also install the packages separately. We will need:
- Python version >= 3.5.2 (installation depends on your OS)
- Jupyter Notebook
- NumPy
- NLTK
- Matplotlib
- Bokeh
- pandas
Projects
Project information will be provided by your TA.