safakkbilici/x-tagger
A Natural Language Processing toolkit for sequence labeling in its simplest form.
This toolkit helps you automatically label words in text for tasks like identifying parts of speech or recognizing names of people, places, or organizations. You provide raw text data (from files, dataframes, or existing datasets), and it outputs text with relevant tags assigned to individual words. It's designed for natural language processing engineers or researchers who need to add structured labels to unstructured text.
No commits in the last 6 months. Available on PyPI.
Use this if you need to perform basic sequence labeling tasks on text, such as part-of-speech tagging or named entity recognition, and want a toolkit that handles various data formats and offers pre-built models.
Not ideal if you need a production-ready, highly optimized, or extensively supported library, as this project is currently in beta release and maintained by one person.
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Language
Python
License
MIT
Category
Last pushed
Jan 19, 2024
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