yongzhuo/Macropodus
A deep learning-based NLP toolkit for Chinese language processing built on Albert+BiLSTM+CRF architecture.
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Macropodus is a natural language processing tool based on Albert+BiLSTM+CRF deep learning networks. It provides Chinese word segmentation, part-of-speech tagging, named entity recognition, new word discovery, keyword extraction, text summarization, text similarity calculation, scientific calculator, Chinese/Arabic/Roman numeral conversion, simplified/traditional Chinese conversion, and pinyin conversion. The toolkit is trained on large-scale Chinese corpora and offers these NLP capabilities through a Python library.
Frequently asked
- What is yongzhuo/Macropodus?
- A deep learning-based NLP toolkit for Chinese language processing built on Albert+BiLSTM+CRF architecture.
- Is Macropodus open source?
- Yes — yongzhuo/Macropodus is open source, released under the MIT license.
- What language is Macropodus written in?
- yongzhuo/Macropodus is primarily written in Python.
- How popular is Macropodus?
- yongzhuo/Macropodus has 660 stars on GitHub.
- Where can I find Macropodus?
- yongzhuo/Macropodus is on GitHub at https://github.com/yongzhuo/Macropodus.