chaine 0.2.2

A Lightweight Conditional Random Field

Chaine

Linear-chain conditional random fields for natural language processing.

Chaine is a modern Python library without third-party dependencies and a backend written in C. You can train conditional random fields for natural language processing tasks like named entity recognition or part-of-speech tagging.

• Lightweight: No use of bloated third-party libraries.
• Fast: Performance critical parts are written in C and thus blazingly fast.
• Easy to use: Designed with special focus on usability and a beautiful high-level API.

You can install the latest stable version from PyPI:

$ pip install chaine

If you are interested in the theoretical concepts behind conditional random fields, please refer to the introducing paper by Lafferty et al.

Example

>>> import chaine
>>> tokens = [["John", "Lennon", "was", "born", "in" "Liverpool"]]
>>> labels = [["B-PER", "I-PER", "O", "O", "O", "B-LOC"]]
>>> model = chaine.train(tokens, labels, max_iterations=5)
>>> model.predict(tokens)
[['B-PER', 'I-PER', 'O', 'O', 'O', 'B-LOC']]

Check out the introducing Jupyter notebook.

Credits

This library makes use of and is partially based on:

• CRFsuite
• libLBFGS
• python-crfsuite
• sklearn-crfsuite