spacy 3.8.2
0
Industrial-strength Natural Language Processing (NLP) in Python
Contents
Industrial-strength Natural Language Processing (NLP) in Python
Stars: 29828, Watchers: 29828, Forks: 4376, Open Issues: 147The explosion/spaCy
repo was created 10 years ago and the last code push was Yesterday.
The project is extremely popular with a mindblowing 29828 github stars!
How to Install spacy
You can install spacy using pip
pip install spacy
or add it to a project with poetry
poetry add spacy
Package Details
- Author
- Explosion
- License
- MIT
- Homepage
- https://spacy.io
- PyPi:
- https://pypi.org/project/spacy/
- GitHub Repo:
- https://github.com/explosion/spaCy
Classifiers
- Scientific/Engineering
Related Packages
Errors
A list of common spacy errors.
Code Examples
Here are some spacy
code examples and snippets.
GitHub Issues
The spacy package has 147 open issues on GitHub
- Update typing hints
- Non-deterministic evaluation when using the experimental
edit_tree_lemmatizer
- Fix special tokenization cases not applied when adjacent to an infix #10086
- Contractions incorrectly tokenized when part of an infix substring
- Please add the Per-class Metrics for en_core_web_trf on NER-Task
- Add spans to doc.to_json
- Add spancat pipeline in spacy debug data
- TypeError: can not serialize 'cupy._core.core.ndarray' object
- Some sentences don't have ROOT among token dependency relation markers while there is still a root in the sentence
- Different NER results on Linux/Mac and Windows with it-core-news-lg-3.2.0
- Iceland lang code fix
- Add visualisations for parsed documents
- Textcat loss is scaled by batch size (and number of classes)
- setting an extensions attribute in one span changes it in the other
- DependencyMatcher fails on sents when tokens have extension attributes set to ents