This repository serves as a comprehensive, curated list of resources for Natural Language Processing (NLP), targeting researchers, students, and practitioners. It aims to consolidate essential tools, datasets, learning materials, and organizational information to accelerate NLP development and understanding.

How It Works

The repository is structured into thematic sections, covering NLP toolkits (e.g., CoreNLP, NLTK, gensim, HanLP), corpora (e.g., Wikipedia dumps, news data, chat logs), learning materials (books, courses, blogs), and specific NLP technologies like BERT, text modeling, sentiment analysis, and knowledge graphs. It also lists academic and industry organizations involved in NLP research globally.

Quick Start & Requirements

• Installation: Primarily relies on Python packages. Specific toolkits may have their own installation instructions (e.g., pip install nltk, pip install jieba).
• Prerequisites: Python 3.x, Java (for some toolkits), and potentially deep learning frameworks like TensorFlow or PyTorch.
• Resources: Links to official documentation, GitHub repositories, and tutorials are provided for most listed tools and concepts.

Highlighted Details

• Extensive collection of Chinese NLP resources, including specialized toolkits and corpora.
• Detailed breakdown of NLP technologies with links to relevant papers, code, and tutorials.
• Comprehensive listing of global NLP research organizations and their affiliations.
• Categorization of learning materials from foundational books to advanced courses and blogs.

Maintenance & Community

The repository is maintained by jia-zh and welcomes community contributions for updates and additions. Links to related curated lists like "Awesome Chinese NLP" and "FunNLP" are provided.

Licensing & Compatibility

The repository itself is a list of links and does not have a specific license. Individual tools and datasets linked within the repository are subject to their own licenses, which users must consult.

Limitations & Caveats

The repository is a curated list and does not provide direct functionality. Users must individually install and configure the linked tools and datasets. The accuracy and maintenance status of external resources are not guaranteed by this repository.