explosion/spacy-experimental
🧪 Cutting-edge experimental spaCy components and features
This project offers cutting-edge tools to enhance how text is broken down and understood by machines. It takes raw text and accurately identifies individual words, sentences, and complex multi-word phrases, even in challenging contexts. This is for AI and NLP practitioners working with detailed text analysis, especially in languages with complex word structures or specialized terminology.
105 stars. Used by 2 other packages. No commits in the last 6 months. Available on PyPI.
Use this if you need more precise and adaptable methods for tokenizing text, identifying sentence boundaries, or detecting multi-word spans than standard approaches typically offer.
Not ideal if you are looking for ready-to-use, stable NLP models for common tasks, as these are experimental components and may change.
Stars
105
Forks
19
Language
Python
License
MIT
Category
Last pushed
Apr 23, 2024
Commits (30d)
0
Dependencies
2
Reverse dependents
2
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