| license: pddl | |
| By-decade word2vec (SGNS) embeddings trained on Google N-Grams eng-all (All English, 1800s-1990s). | |
| rds files are R numeric matrices with tokens as rownames. | |
| References: | |
| William L. Hamilton, Jure Leskovec, and Dan Jurafsky. ACL 2016. Diachronic Word Embeddings Reveal Statistical Laws of Semantic Change. https://nlp.stanford.edu/projects/histwords/ |