# Reading letter probabilities
-New file: `language_models.py`
-
1. Load the file `count_1l.txt` into a dict, with letters as keys.
2. Normalise the counts (components of vector sum to 1): `$$ \hat{\mathbf{x}} = \frac{\mathbf{x}}{\| \mathbf{x} \|} = \frac{\mathbf{x}}{ \mathbf{x}_1 + \mathbf{x}_2 + \mathbf{x}_3 + \dots }$$`