ozanarkancan/char-ner
Multi lingual character based named entity recognizer
This tool helps researchers and linguists automatically identify and categorize named entities (like person names, organizations, or locations) within text. You input text files where words are paired with their correct categories, and it outputs a model that can then recognize these entities in new, unseen text. It's designed for those working with various languages and character-level text analysis.
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Use this if you need to extract specific types of information from raw text across different languages, especially if those languages have complex word structures or require character-level analysis.
Not ideal if you're looking for a pre-built, off-the-shelf solution for common languages without needing to train a custom model with your own data.
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24
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7
Language
Python
License
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Category
Last pushed
Apr 08, 2018
Commits (30d)
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