taishi-i/nagisa
A Python library using RNNs to perform Japanese word segmentation and part-of-speech tagging.
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Nagisa is a neural-network-based Japanese tokenizer and POS tagger. It uses character-level and word-level features in its segmentation model, and incorporates tag dictionary information in its POS-tagging model. The tool is designed as a simple, easy-to-use Python module for processing Japanese text.
Frequently asked
- What is taishi-i/nagisa?
- A Python library using RNNs to perform Japanese word segmentation and part-of-speech tagging.
- Is nagisa open source?
- Yes — taishi-i/nagisa is open source, released under the MIT license.
- What language is nagisa written in?
- taishi-i/nagisa is primarily written in Python.
- How popular is nagisa?
- taishi-i/nagisa has 416 stars on GitHub.
- Where can I find nagisa?
- taishi-i/nagisa is on GitHub at https://github.com/taishi-i/nagisa.