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https://github.com/FudanNLP/fnlp
中文自然语言处理工具包 Toolkit for Chinese natural language processing
https://github.com/FudanNLP/fnlp
fnlp fudannlp java nlp-library
Last synced: 12 days ago
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中文自然语言处理工具包 Toolkit for Chinese natural language processing
- Host: GitHub
- URL: https://github.com/FudanNLP/fnlp
- Owner: FudanNLP
- License: lgpl-3.0
- Created: 2014-03-12T01:47:00.000Z (over 10 years ago)
- Default Branch: master
- Last Pushed: 2023-11-17T04:27:43.000Z (12 months ago)
- Last Synced: 2024-10-14T12:40:54.562Z (25 days ago)
- Topics: fnlp, fudannlp, java, nlp-library
- Language: Java
- Homepage:
- Size: 2.63 MB
- Stars: 2,645
- Watchers: 254
- Forks: 724
- Open Issues: 43
-
Metadata Files:
- Readme: README.md
- Changelog: Changes.txt
- License: LICENSE
Awesome Lists containing this project
- awesome-chinese-ner - FudanNlp
- awesome-nlp - FudanNLP - 用於中文文本處理的 Java 函式庫。 (自然語言處理-中文 / 函式庫)
- awesome-list - FudanNLP - Toolkit for Chinese natural language processing. (Natural Language Processing / General Purpose NLP)
- awesome-chinese-nlp - FudanNLP
README
FudanNLP (FNLP)
2018.12.16 我们很高兴发布了FudanNLP的后续版本,一个全新的自然语言处理工具[FastNLP](https://github.com/fastnlp/fastNLP)。FudanNLP不再更新。
2018.12.16 We are delighted to announce a new brand toolkit [FastNLP](https://github.com/fastnlp/fastNLP), a major update of the FudanNLP. The FudanNLP is no longer updated.
====
介绍(Introduction)
-----------------------------------
FNLP主要是为中文自然语言处理而开发的工具包,也包含为实现这些任务的机器学习算法和数据集。
本工具包及其包含数据集使用LGPL3.0许可证。FNLP is developed for Chinese natural language processing (NLP), which also includes some machine learning algorithms and [DataSet data sets] to achieve the NLP tasks. FudanNLP is distributed under LGPL3.0.
If you're new to FNLP, check out the [Quick Start (使用说明)](https://github.com/FudanNLP/fnlp/wiki) page.
原FudanNLP项目地址:http://code.google.com/p/fudannlp
功能(Functions)
----
信息检索: 文本分类 新闻聚类
中文处理: 中文分词 词性标注 实体名识别 关键词抽取 依存句法分析 时间短语识别
结构化学习: 在线学习 层次分类 聚类[ChangeLog 更新日志(ChangeLog)]
[性能测试(Benchmark)] (Benchmark)
[开发计划(Development Plan)] (DevPlan)
[开发人员列表(Developers)](People)Demos
----
你可以通过试用下面的网站来测试部分功能。
You can also use the following site to check the partial functionality.
[Demo Website(演示网站)](http://nlp.fudan.edu.cn/demo)有遇到FNLP不能处理的例子,请到这里提交: [协同数据收集](http://code.google.com/p/fudannlp/wiki/CollaborativeCollection)。
有问题请查看[FAQ](faq)或到 QQ群(253541693)讨论。
使用(Usages)
----[FNLP入门教程](https://github.com/xpqiu/fnlp/wiki)
除了源码文件,还需要下载FNLP模型文件。由于模型文件较大,不便于存放在源码库之中,请至[Release](https://github.com/xpqiu/fnlp/releases)页面下载,并将模型文件放在“models”目录。
* seg.m 分词模型
* pos.m 词性标注模型
* dep.m 依存句法分析模型欢迎大家提供非Java语言的接口。
引用(Citation)
----
If you would like to acknowledge our efforts, please cite the following paper.
如果我们的工作对您有帮助,请引用下面论文。Xipeng Qiu, Qi Zhang and Xuanjing Huang, FudanNLP: A Toolkit for Chinese Natural Language Processing, In Proceedings of Annual Meeting of the Association for Computational Linguistics (ACL), 2013.*
@INPROCEEDINGS{Qiu:2013,
author = {Xipeng Qiu and Qi Zhang and Xuanjing Huang},
title = {FudanNLP: A Toolkit for Chinese Natural Language Processing},
booktitle = {Proceedings of Annual Meeting of the Association for Computational Linguistics},
year = {2013},
}在[这里](http://jkx.fudan.edu.cn/~xpqiu/) 或 [DBLP](http://scholar.google.com/citations?sortby=pubdate&hl=en&user=Pq4Yp_kAAAAJ&view_op=list_works Google Scholar] 或 [http://www.informatik.uni-trier.de/~ley/pers/hd/q/Qiu:Xipeng.html) 可以找到更多的相关论文。
We used [JProfiler](http://www.ej-technologies.com/products/jprofiler/overview.html ) to help optimize the code.
本网站(或页面)的文字允许在CC-BY-SA 3.0协议和GNU自由文档许可证下修改和再使用。