Links: LIN353C introduction to computational linguistics
List of software we will use in the class
Python and Python packages:
We strongly recommend installing Anaconda, as that includes Python along with all Python packages we need.
If you install anaconda, you will have to add gensim. Here is a tutorial on how to add a package to Anaconda: https://docs.anaconda.com/anaconda/navigator/tutorials/manage-packages/#installing-a-package
Please do this, and choose to add gensim.
Alternatively, you can individually install:
Python: Any version >= 3.4 should be fine.
To test your Python installation, use this Jupyter notebook.
We are using Slack for in-class discussions. Please see Canvas for the link to the class Slack space.
Using Jupyter notebooks
Jupyter notebooks that we use in class are listed on the class schedule page. Click on a Jupyter notebook link there to download the file. To access the notebook:
put the file in some directory
In anaconda, click "jupyter", then navigate to that directory with the notebook file, and select the file
Or, if you're not using anaconda, open a terminal, go to the directory where you put the notebook file, and type
This will open a tab in your browser where you can select a notebook file to work with.
For info on how to format text and write code in Jupyter notebooks, see this Jupyter notebook.
General Python pages:
The Natural Language Toolkit: