severinsimmler/chaine

Linear-chain conditional random fields (CRF) for natural language processing

34
/ 100
Emerging

This tool helps you automatically identify and categorize specific elements within text, like recognizing names of people or organizations, or determining the grammatical role of each word. You provide it with text sequences and their correct labels, and it learns to predict labels for new, unlabeled text. This is ideal for linguists, data annotators, or anyone needing to structure unstructured text efficiently.

Use this if you need to extract and label specific items or assign grammatical tags within large volumes of text data.

Not ideal if your task involves complex sentence understanding or generating new text, as this is a sequence labeling tool.

natural-language-processing text-annotation information-extraction computational-linguistics data-labeling
No Package No Dependents
Maintenance 6 / 25
Adoption 5 / 25
Maturity 16 / 25
Community 7 / 25

How are scores calculated?

Stars

10

Forks

1

Language

C

License

MIT

Last pushed

Jan 08, 2026

Commits (30d)

0

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