CLARIN.SI-embed.sl contains word embeddings induced from a large collection of Slovene texts composed of existing corpora of Slovene, e.g GigaFida, Janes, KAS, slWaC, MaCoCu-sl, etc. The embeddings are based on the skip-gram model of fastText trained on 5,791,405,942 tokens of running text for 3,471,054 lowercased surface forms.
The difference to the previous version of the embeddings is that this version was trained on the original dataset expanded with the MaCoCu-sl web crawl corpus (http://hdl.handle.net/11356/1517).