wehub-resource-sync
75 lines
1.8 KiB
Markdown
75 lines
1.8 KiB
Markdown
# HanLP: Han Language Processing
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[](https://github.com/hankcs/HanLP/stargazers) [](https://github.com/hankcs/HanLP/network)  [](https://pepy.tech/project/HanLP) [](https://github.com/hankcs/HanLP/blob/master/LICENSE) [](https://colab.research.google.com/drive/1KPX6t1y36TOzRIeB4Kt3uJ1twuj6WuFv?usp=sharing)
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The multilingual NLP library for researchers and companies, built on PyTorch and TensorFlow 2.x, for advancing
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state-of-the-art deep learning techniques in both academia and industry. HanLP was designed from day one to be
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efficient, user friendly and extendable. It comes with pretrained models for various human languages
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including English, Chinese, Japanese and many others.
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## Tutorials
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```{toctree}
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:maxdepth: 1
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:caption: Introduction
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tutorial
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install
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configure
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data_format
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annotations/index
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contributing
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Live Demo <https://hanlp.hankcs.com/>
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```
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## Python API
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```{toctree}
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:caption: Python API
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:maxdepth: 2
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api/hanlp/index
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api/common/index
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api/restful
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api/trie/index
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```
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## Java API
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```{toctree}
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:maxdepth: 1
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:caption: Java API
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1.x API <https://github.com/hankcs/HanLP/tree/1.x>
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api/restful_java
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```
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## Golang API
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```{toctree}
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:maxdepth: 1
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:caption: Golang API
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api/restful_golang
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```
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## References
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```{toctree}
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:caption: References
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:maxdepth: 2
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references
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```
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## Acknowledgements
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HanLPv2.1 is heavily inspired by [AllenNLP](https://allennlp.org/) and [SuPar](https://pypi.org/project/supar/).
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[pypi-badge]: https://img.shields.io/pypi/v/hanlp.svg
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[pypi-link]: https://pypi.org/project/hanlp
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