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.
Please find the project report requirements here.
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)
You can find the PyTorch tutorial here.
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.
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
Project information will be provided by your TA.