Research Trends
This bundles the awesome-japanese-nlp-resources dataset (around 1,400 libraries, models, corpora, and benchmarks) and combines it with live web search to produce current trend reports on Japanese NLP topics. You get a scored snapshot of what's already catalogued, category distribution, and fresh web research limited to the current year, then a synthesized report that tells you which architectures are winning, what's recent versus legacy, and what new resources aren't yet indexed. The skill defaults to a general overview if you don't specify a topic, covering LLMs, embeddings, speech, and morphology in one pass. It's built for landscape questions, not single lookups. The inline Python scoring avoids reading a large JSON file directly and the date stamping keeps reports from going stale when you revisit old outputs.
- GitHub stars
- 974
- last updated
- Jun 9, 2026
Install
$ npx -y skills add taishi-i/awesome-japanese-nlp-resources --skill research-trends --agent claude-codeInstalls into .claude/skills of the current project.
Files
This bundles the awesome-japanese-nlp-resources dataset (around 1,400 libraries, models, corpora, and benchmarks) and combines it with live web search to produce current trend reports on Japanese NLP topics. You get a scored snapshot of what's already catalogued, category distribution, and fresh web research limited to the current year, then a synthesized report that tells you which architectures are winning, what's recent versus legacy, and what new resources aren't yet indexed. The skill defaults to a general overview if you don't specify a topic, covering LLMs, embeddings, speech, and morphology in one pass. It's built for landscape questions, not single lookups. The inline Python scoring avoids reading a large JSON file directly and the date stamping keeps reports from going stale when you revisit old outputs.
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- Repository
- github.com/taishi-i/awesome-japanese-nlp-resources
- Category
- Data Science & ML
- License
- CC0-1.0
- First seen
- Jun 11, 2026
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