awesome-japanese-nlp-resources

A curated list of resources for Japanese natural language processing (NLP): Python libraries, LLMs, dictionaries, corpora, and datasets. Includes Claude Code an

What is awesome-japanese-nlp-resources?

A curated list of resources for Japanese natural language processing (NLP): Python libraries, LLMs, dictionaries, corpora, and datasets. Includes Claude Code and Codex skills to search resources.

Overview of awesome-japanese-nlp-resources

What it is

awesome-japanese-nlp-resources is a curated list of resources for Japanese natural language processing (NLP). It includes information on 895 GitHub repositories, 450 Hugging Face repositories (models and datasets), and 156 multilingual libraries, models, and datasets that also support Japanese. The repository also provides Claude Code and Codex skills to search, discover, compare, and research these resources.

Key features

  • Curated list covering Python libraries, LLMs, dictionaries, corpora, and datasets for Japanese NLP.
  • Lists 895 GitHub repositories and 450 Hugging Face repositories.
  • Includes 156 multilingual resources that also support Japanese.
  • Provides four skills for Claude Code and Codex: search, discover, compare, and research.
  • Skills detect query language and respond accordingly (English default, Japanese when query contains Japanese characters).

Use cases

  • Finding Python libraries for Japanese morphological analysis, parsing, sentiment analysis, machine translation, named entity recognition, and more.
  • Discovering and comparing models and datasets from Hugging Face.
  • Learning Japanese NLP through curated tutorials and resources.
  • Using Claude Code or Codex to search the resource dataset, find alternatives, compare libraries, or research trends.

Getting started

See the repository README for installation and usage instructions.

License and pricing

The project is licensed under CC0-1.0. It is open source, with no pricing information stated.

Based on the project's public README and repository metadata.

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