keon/awesome-nlp

Project overview

A curated directory of Natural Language Processing resources organized by tasks, languages, and programming languages. It serves as a browsable reference index for finding NLP tutorials, datasets, tools, and research papers without requiring local installation or coding.

Project type

RAG · Data Processing

Use cases

Search & Research

Deployment

Refer to project documentation

License

CC0-1.0

Best for

• Researchers and developers looking for a structured index of NLP libraries, datasets, and research papers organized by programming languages and linguistic tasks.

Key capabilities

• Categorizes and links to NLP resources such as tutorials, books, research labs, annotation tools, datasets, and multilingual NLP frameworks.
• Lists NLP libraries across multiple programming languages (Node.js, Python, C++, Java, etc.) along with their descriptions.
• Organizes NLP techniques and research papers by linguistic problems such as tokenization, POS tagging, dependency parsing, and machine translation.

Limitations and risks

• Excludes general-purpose chatbots, agent frameworks, prompt-template repositories, code-generation tools, and RAG application starter kits.

Getting started

• Access the directory by opening the repository on GitHub; no coding or local setup is required.

Evidence and sources

• GitHub project description: A curated list of resources dedicated to Natural Language Processing
• README: This list covers natural language processing — linguistic analysis, multilingual tooling, classical and neural methods, datasets, and evaluation. Large language models are include…
• README: * [Research Summaries and Trends](#research-summaries-and-trends) * [Prominent NLP Research Labs](#prominent-nlp-research-labs) * [Tutorials](#tutorials)
• README: **Node.js and Javascript** - Node.js Libaries for NLP
• README: Where to follow current NLP research:

Reviewed at: 2026-07-17T12:12:23Z