rlayers/pawpaw
Text Processing & Segmentation Framework
Pawpaw helps you transform unstructured text, like legal documents or articles, into an organized, searchable tree-like structure. It takes raw text and applies rules to identify and segment parts like paragraphs, sentences, or specific terms, then outputs a hierarchical data structure. This is designed for analysts, researchers, or anyone who needs to extract and query information from large volumes of text.
No commits in the last 6 months. Available on PyPI.
Use this if you need to precisely segment unstructured text into meaningful, hierarchical components and then efficiently search or extract data from that structure.
Not ideal if you just need basic string manipulation or have already structured data that doesn't require deep, rules-based parsing.
Stars
27
Forks
4
Language
Python
License
MIT
Category
Last pushed
Sep 18, 2025
Commits (30d)
0
Dependencies
1
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