japanese-words-to-vectors VS Korpora

I'm looking for data for how concrete or abstract different lexical items are in Japanese, similar to this data for English. I'm not very well versed in computational linguistics, so even though I've found this word-to-vector model that can create vectors for Japanese words, but I'm not sure how to extrapolate abstractness values from the resulting vectors, or if that's even possible without using a predefined abstract-concrete vector like shown here.

- LDA (usually very expensive, but some options exist and in some cases you can google them to find them elsewhere for free): https://www.ldc.upenn.edu/ - Connecting with a university or looking at a linguistics lab's corpus holdings (some will host -- or freely acquired the corpus and therefore you can find it on the internet) - Some language-specific lists or collections: e.g. https://warwick.ac.uk/fac/soc/al/repository/staff/harrisontilly/corpora-for-workshop/, https://github.com/ko-nlp/Korpora , https://guides.uflib.ufl.edu/frenchlinguistics/corpora - Some larger overviews, which may contain links: e.g. https://www.clarin.eu/resource-families/corpora-academic-texts , https://libguides.reed.edu/linguistics/datasets-corpora - Some larger projects to create (often text-based) corpora for multiple languages (often for NLP): e.g. https://www.sketchengine.eu/documentation/tenten-corpora/