This repository is a comprehensive collection of Chinese Natural Language Processing (NLP) resources, tools, datasets, and models, curated for NLP practitioners. It aims to be a one-stop shop for anyone working with Chinese NLP, covering a vast array of tasks from basic text processing to advanced LLM applications.

How It Works

The project is structured as a massive, categorized list of links to GitHub repositories, papers, blogs, and datasets. It covers a wide spectrum of NLP subfields, including:

• Core NLP Tasks: Tokenization, POS tagging, NER, sentiment analysis, text classification, text generation, summarization, question answering, machine translation, and more.
• LLM Ecosystem: Resources for Large Language Models (LLMs) like ChatGPT, including model evaluations, training techniques (low-resource, efficient fine-tuning), prompt engineering, and applications.
• Specialized Domains: NLP applications in finance, healthcare, and law.
• Data & Tools: Extensive collections of corpora, dictionaries, word vectors, and specialized tools for tasks like data augmentation, text visualization, and annotation.

Quick Start & Requirements

• Installation: No direct installation is required as this is a curated list of external resources. Users will need to clone individual repositories or follow instructions for specific tools.
• Prerequisites: Varies greatly depending on the specific tool or model. Many NLP tasks require Python, deep learning frameworks (TensorFlow, PyTorch), and potentially GPUs for training or inference. LLM-related resources often have significant hardware requirements.
• Resources: The project itself is a collection of links, requiring only internet access. However, many linked resources may require substantial computational resources (e.g., GPUs, large RAM) and disk space for datasets and models.

Highlighted Details

• Breadth and Depth: Covers an exceptionally wide range of NLP topics, from fundamental tasks to cutting-edge LLM research and applications.
• Chinese Focus: A significant portion of the resources are specifically tailored for Chinese NLP, addressing language-specific challenges.
• LLM Centrality: A substantial and growing section is dedicated to LLMs, reflecting current trends in the field.
• Categorization: Resources are well-organized into numerous categories, making it easier to navigate the vast collection.

Maintenance & Community

The repository is maintained by "fighting41love" and is actively seeking contributions, encouraging users to "watch and fork." The README indicates ongoing, "long-term, irregular updates."

Licensing & Compatibility

The repository itself is a collection of links, so it does not have a specific license. However, the licenses of the linked projects vary widely. Users must check the individual licenses of any tools or datasets they choose to use, as many may have restrictions on commercial use or specific attribution requirements.

Limitations & Caveats

The sheer volume of resources can be overwhelming. Many linked projects are individual efforts and may vary in quality, maintenance status, or documentation. Users need to exercise discretion when selecting and integrating resources. Some advanced LLM resources may require significant computational power and technical expertise.