I shipped a small Python snippet called 'Python: Basic Unigram Language Model Core'.
This is a foundational piece of code. It takes raw text, breaks it down into individual words (tokens), and then counts how many times each unique word appears. It's the absolute minimum needed to get started with understanding and building basic unigram language models.
If you're working on text analysis, NLP projects, or just want to see how to process text data from the ground up in Python, this snippet provides the core functionality.
It's designed to be straightforward and easy to integrate into your own projects. No complex dependencies, just plain Python.
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