Awesome NLP
A curated list of resources for natural language processing, covering linguistic analysis, multilingual tooling, classical and neural methods, libraries by programming language, datasets and evaluation benchmarks.
Awesome NLP is a curated list of resources dedicated to natural language processing: linguistic analysis, multilingual tooling, classical and neural methods, datasets and evaluation. Large language models are included only where they advance or evaluate a core NLP task, such as tokenization, machine translation, summarization, named entity recognition, question answering or factuality; general-purpose chatbots, agent frameworks, prompt-template repositories and RAG starter kits are left to other curated lists.
The list is organized into research summaries and prominent research labs, tutorials, libraries by programming language, annotation services and tools, tasks and methods such as text embeddings, tokenization, parsing, named entity recognition, coreference resolution, classification, summarization, translation and question answering, datasets, multilingual frameworks, and language models for pretraining, evaluation, efficiency and safety, plus resources organized by individual language.