awesome-nlp
===========

|Awesome|

   专门用于自然语言处理的精选资源列表

|Awesome NLP Logo|

**Maintainers** - `Keon <https://github.com/keon>`__,
`Martin <https://github.com/outpark>`__,
`Nirant <https://github.com/NirantK>`__,
`Dhruv <https://github.com/the-ethan-hunt>`__

内容
----

-  `Research Summaries and Trends <#research-summaries-and-trends>`__
-  `Tutorials <#tutorials>`__

   ::

      - [Reading Content](#reading-content)
      - [Videos and Courses](#videos-and-online-courses)
      - [Books](#books)

-  `Libraries <#libraries>`__

   ::

      - [Node.js](#user-content-node-js)
      - [Python](#user-content-python)
      - [C++](#user-content-c++)
      - [Java](#user-content-java)
      - [Kotlin](#user-content-kotlin)
      - [Scala](#user-content-scala)
      - [R](#user-content-R)
      - [Clojure](#user-content-clojure)
      - [Ruby](#user-content-ruby)
      - [Rust](#user-content-rust)
      - [Services](#services)
      - [Annotation Tools](#annotation-tools)

-  `Datasets <#datasets>`__
-  `NLP in Korean <#nlp-in-korean>`__
-  `NLP in Arabic <#nlp-in-arabic>`__
-  `NLP in Chinese <#nlp-in-chinese>`__
-  `NLP in German <#nlp-in-german>`__
-  `NLP in Spanish <#nlp-in-spanish>`__
-  `NLP in Indic Languages <#nlp-in-indic-languages>`__
-  `NLP in Thai <#nlp-in-thai>`__
-  `NLP in Vietnamese <#nlp-in-vietnamese>`__
-  `NLP in Danish <#nlp-in-danish>`__
-  `NLP in Indonesian <#nlp-in-indonesian>`__
-  `Other Languages <#other-languages>`__
-  `Credits <#credits>`__

研究摘要和趋势
--------------

-  `NLP-概观 <https://nlpoverview.com/>`__ 是应用于 NLP
   的深度学习技术的最新概述，包括理论，实现，应用和最先进的结果。
   对于研究人员来说，这是一个伟大的 Deep NLP 简介。
-  `NLP-进展 <https://nlpprogress.com/>`__ 跟踪自然语言处理的进展,
   包括数据集和最常见的 NLP 任务的当前最新技术
-  `NLP 的 ImageNet
   时刻已经到来 <https://thegradient.pub/nlp-imagenet/>`__
-  `ACL 2018 亮点:
   在更具挑战性的设置中理解表示和评估 <http://ruder.io/acl-2018-highlights/>`__
-  `ACL 2017 的四个深度学习趋势。第一部分:
   语言结构和词嵌入 <https://www.abigailsee.com/2017/08/30/four-deep-learning-trends-from-acl-2017-part-1.html>`__
-  `ACL 2017 的四个深度学习趋势。第二部分:
   可解释性和注意力 <https://www.abigailsee.com/2017/08/30/four-deep-learning-trends-from-acl-2017-part-2.html>`__
-  `EMNLP 2017 的亮点:
   令人兴奋的数据集，群集的返回等等！ <http://blog.aylien.com/highlights-emnlp-2017-exciting-datasets-return-clusters/>`__
-  `自然语言处理的深度学习 (NLP):
   进步与趋势 <https://tryolabs.com/blog/2017/12/12/deep-learning-for-nlp-advancements-and-trends-in-2017/?utm_campaign=Revue%20newsletter&utm_medium=Newsletter&utm_source=The%20Wild%20Week%20in%20AI>`__
-  `自然语言生成的现状调查 <https://arxiv.org/abs/1703.09902>`__

.. |Awesome| image:: https://cdn.rawgit.com/sindresorhus/awesome/d7305f38d29fed78fa85652e3a63e154dd8e8829/media/badge.svg
   :target: https://github.com/sindresorhus/awesome
.. |Awesome NLP Logo| image:: ../images/logo.jpg
   :target: https://github.com/keon/awesome-nlp


相关内容
--------

.. toctree::
   :maxdepth: 3

   Awesome-Chinese-NLP
   multi-language
   techniques
   tutorials