<h2 align="center">HanLP: Han Language Processing</h2>
<div align="center">
<a href="https://github.com/hankcs/HanLP/actions">
<img alt="Unit Tests" src="https://github.com/hankcs/hanlp/actions/workflows/unit-tests.yml/badge.svg?branch=master">
</a>
<a href="https://pypi.org/project/hanlp/">
<img alt="PyPI Version" src="https://img.shields.io/pypi/v/hanlp?color=blue">
</a>
<a href="https://pypi.org/project/hanlp/">
<img alt="Python Versions" src="https://img.shields.io/pypi/pyversions/hanlp?colorB=blue">
</a>
<a href="https://pepy.tech/project/hanlp">
<img alt="Downloads" src="https://static.pepy.tech/badge/hanlp">
</a>
<a href="https://mybinder.org/v2/gh/hankcs/HanLP/doc-zh?filepath=plugins%2Fhanlp_demo%2Fhanlp_demo%2Fzh%2Ftutorial.ipynb">
<img alt="在线运行" src="https://mybinder.org/badge_logo.svg">
</a>
</div>
<h4 align="center">
<a href="https://github.com/hankcs/HanLP/tree/master">English</a> |
<a href="https://github.com/hankcs/HanLP/tree/doc-ja">日本語</a> |
<a href="https://hanlp.hankcs.com/docs/">文档</a> |
<a href="https://bbs.hankcs.com/t/topic/3940">论文</a> |
<a href="https://bbs.hankcs.com/">论坛</a> |
<a href="https://github.com/wangedison/hanlp-jupyterlab-docker">docker</a> |
<a href="https://mybinder.org/v2/gh/hankcs/HanLP/doc-zh?filepath=plugins%2Fhanlp_demo%2Fhanlp_demo%2Fzh%2Ftutorial.ipynb">▶️在线运行</a>
</h4>
面向生产环境的多语种自然语言处理工具包,基于PyTorch和TensorFlow 2.x双引擎,目标是普及落地最前沿的NLP技术。HanLP具备功能完善、精度准确、性能高效、语料时新、架构清晰、可自定义的特点。
[![demo](https://raw.githubusercontent.com/hankcs/OpenCC-to-HanLP/img/demo.gif)](https://mybinder.org/v2/gh/hankcs/HanLP/doc-zh?filepath=plugins%2Fhanlp_demo%2Fhanlp_demo%2Fzh%2Ftutorial.ipynb)
借助世界上最大的多语种语料库,HanLP2.1支持包括简繁中英日俄法德在内的[130种语言](https://hanlp.hankcs.com/docs/api/hanlp/pretrained/mtl.html#hanlp.pretrained.mtl.UD_ONTONOTES_TOK_POS_LEM_FEA_NER_SRL_DEP_SDP_CON_MMINILMV2L6)上的10种联合任务以及多种单任务。HanLP预训练了十几种任务上的数十个模型并且正在持续迭代语料库与模型:
<div align="center">
| 功能 | RESTful | 多任务 | 单任务 | 模型 | 标注标准 |
| ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ | ------------------------------------------------------------ |
| [分词](https://hanlp.hankcs.com/demos/tok.html) | [教程](https://github.com/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/tok_restful.ipynb) | [教程](https://github.com/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/tok_mtl.ipynb) | [教程](https://github.com/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/tok_stl.ipynb) | [tok](https://hanlp.hankcs.com/docs/api/hanlp/pretrained/tok.html) | [粗分](https://hanlp.hankcs.com/docs/annotations/tok/msr.html)、[细分](https://hanlp.hankcs.com/docs/annotations/tok/ctb.html) |
| [词性标注](https://hanlp.hankcs.com/demos/pos.html) | [教程](https://github.com/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/pos_restful.ipynb) | [教程](https://github.com/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/pos_mtl.ipynb) | [教程](https://github.com/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/pos_stl.ipynb) | [pos](https://hanlp.hankcs.com/docs/api/hanlp/pretrained/pos.html) | [CTB](https://hanlp.hankcs.com/docs/annotations/pos/ctb.html)、[PKU](https://hanlp.hankcs.com/docs/annotations/pos/pku.html)、[863](https://hanlp.hankcs.com/docs/annotations/pos/863.html) |
| [命名实体识别](https://hanlp.hankcs.com/demos/ner.html) | [教程](https://github.com/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/ner_restful.ipynb) | [教程](https://github.com/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/ner_mtl.ipynb) | [教程](https://github.com/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/ner_stl.ipynb) | [ner](https://hanlp.hankcs.com/docs/api/hanlp/pretrained/ner.html) | [PKU](https://hanlp.hankcs.com/docs/annotations/ner/pku.html)、[MSRA](https://hanlp.hankcs.com/docs/annotations/ner/msra.html)、[OntoNotes](https://hanlp.hankcs.com/docs/annotations/ner/ontonotes.html) |
| [依存句法分析](https://hanlp.hankcs.com/demos/dep.html) | [教程](https://github.com/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/dep_restful.ipynb) | [教程](https://github.com/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/dep_mtl.ipynb) | [教程](https://github.com/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/dep_stl.ipynb) | [dep](https://hanlp.hankcs.com/docs/api/hanlp/pretrained/dep.html) | [SD](https://hanlp.hankcs.com/docs/annotations/dep/sd_zh.html)、[UD](https://hanlp.hankcs.com/docs/annotations/dep/ud.html#chinese)、[PMT](https://hanlp.hankcs.com/docs/annotations/dep/pmt.html) |
| [成分句法分析](https://hanlp.hankcs.com/demos/con.html) | [教程](https://github.com/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/con_restful.ipynb) | [教程](https://github.com/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/con_mtl.ipynb) | [教程](https://github.com/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/con_stl.ipynb) | [con](https://hanlp.hankcs.com/docs/api/hanlp/pretrained/constituency.html) | [Chinese Tree Bank](https://hanlp.hankcs.com/docs/annotations/constituency/ctb.html) |
| [语义依存分析](https://hanlp.hankcs.com/demos/sdp.html) | [教程](https://github.com/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/sdp_restful.ipynb) | [教程](https://github.com/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/sdp_mtl.ipynb) | [教程](https://github.com/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/sdp_stl.ipynb) | [sdp](https://hanlp.hankcs.com/docs/api/hanlp/pretrained/sdp.html) | [CSDP](https://hanlp.hankcs.com/docs/annotations/sdp/semeval16.html#) |
| [语义角色标注](https://hanlp.hankcs.com/demos/srl.html) | [教程](https://github.com/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/srl_restful.ipynb) | [教程](https://github.com/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/srl_mtl.ipynb) | [教程](https://github.com/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/srl_stl.ipynb) | [srl](https://hanlp.hankcs.com/docs/api/hanlp/pretrained/srl.html) | [Chinese Proposition Bank](https://hanlp.hankcs.com/docs/annotations/srl/cpb.html) |
| [抽象意义表示](https://hanlp.hankcs.com/demos/amr.html) | [教程](https://github.com/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/amr_restful.ipynb) | 暂无 | [教程](https://github.com/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/amr_stl.ipynb) | [amr](https://hanlp.hankcs.com/docs/api/hanlp/pretrained/amr.html) | [CAMR](https://www.hankcs.com/nlp/corpus/introduction-to-chinese-abstract-meaning-representation.html) |
| [指代消解](https://hanlp.hankcs.com/demos/cor.html) | [教程](https://github.com/hankcs/HanLP/blob/doc-zh/plugins/hanlp_demo/hanlp_demo/zh/cor_restful.ipynb) | 暂无
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基于PyTorch和TensorFlow 2.x双引擎的自然语言处理深度学习+源代码+文档说明
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<项目介绍> 面向生产环境的多语种自然语言处理工具包,基于PyTorch和TensorFlow 2.x双引擎,目标是普及落地最前沿的NLP技术。HanLP具备功能完善、精度准确、性能高效、语料时新、架构清晰、可自定义的特点。 - 不懂运行,下载完可以私聊问,可远程教学 该资源内项目源码是个人的毕设,代码都测试ok,都是运行成功后才上传资源,答辩评审平均分达到96分,放心下载使用! 1、该资源内项目代码都经过测试运行成功,功能ok的情况下才上传的,请放心下载使用! 2、本项目适合计算机相关专业(如计科、人工智能、通信工程、自动化、电子信息等)的在校学生、老师或者企业员工下载学习,也适合小白学习进阶,当然也可作为毕设项目、课程设计、作业、项目初期立项演示等。 3、如果基础还行,也可在此代码基础上进行修改,以实现其他功能,也可用于毕设、课设、作业等。 下载后请首先打开README.md文件(如有),仅供学习参考, 切勿用于商业用途。 --------
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基于PyTorch和TensorFlow 2.x双引擎的自然语言处理深度学习+源代码+文档说明 (695个子文件)
references.bib 42KB
.gitignore 4KB
tutorial.ipynb 195KB
con_mtl.ipynb 27KB
con_restful.ipynb 24KB
tok_stl.ipynb 23KB
con_stl.ipynb 20KB
tok_mtl.ipynb 16KB
amr_restful.ipynb 16KB
ner_mtl.ipynb 15KB
pos_mtl.ipynb 14KB
dep_stl.ipynb 14KB
dep_mtl.ipynb 14KB
srl_mtl.ipynb 13KB
extractive_summarization_restful.ipynb 12KB
sdp_stl.ipynb 11KB
sdp_mtl.ipynb 11KB
pos_restful.ipynb 11KB
tok_restful.ipynb 11KB
srl_restful.ipynb 10KB
dep_restful.ipynb 10KB
ner_restful.ipynb 10KB
keyphrase_restful.ipynb 9KB
amr_stl.ipynb 9KB
pos_stl.ipynb 9KB
ner_stl.ipynb 8KB
sdp_restful.ipynb 8KB
lid_stl.ipynb 7KB
sentiment_restful.ipynb 6KB
classification_restful.ipynb 6KB
srl_stl.ipynb 6KB
lid_restful.ipynb 6KB
cor_restful.ipynb 5KB
abstractive_summarization_restful.ipynb 4KB
gec_restful.ipynb 4KB
sts_stl.ipynb 3KB
sts_restful.ipynb 3KB
tst_restful.ipynb 3KB
HanLPClient.java 24KB
HanLPClientTest.java 9KB
MeaningRepresentationTest.java 3KB
Span.java 1KB
CoreferenceResolutionOutput.java 802B
BaseInput.java 674B
TokenInput.java 635B
SentenceInput.java 632B
MeaningRepresentation.java 626B
DocumentInput.java 624B
Node.java 531B
Edge.java 469B
Anchor.java 448B
LICENSE 11KB
Makefile 634B
msr.md 135KB
ctb.md 46KB
README.md 37KB
863.md 21KB
pku.md 19KB
semeval16.md 16KB
ud.md 9KB
ctb.md 9KB
pku.md 8KB
ptb.md 7KB
npcmj.md 6KB
ctb.md 6KB
data_format.md 5KB
tutorial.md 5KB
install.md 5KB
sd_zh.md 5KB
sd_en.md 4KB
pmt.md 3KB
msra.md 3KB
cpb.md 3KB
configure.md 3KB
npcmj.md 3KB
resources.md 3KB
propbank.md 2KB
ontonotes.md 2KB
word2vec.md 2KB
index.md 2KB
ud.md 2KB
contributing.md 2KB
pull_request_template.md 1KB
mlm.md 1KB
constituency.md 1KB
amr2text.md 1KB
bug_report.md 1KB
dataset.md 1KB
README.md 1KB
README.md 1KB
README.md 1KB
pos.md 1KB
tok.md 1KB
amr.md 1KB
resources.md 996B
resources.md 971B
restful_java.md 963B
sts.md 931B
srl.md 918B
resources.md 914B
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