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.