It's not perfect; the real limiting factor is the volume of text. For the research paper behind word2vec, to get accurate associations for common words (King, m

It's not perfect; the real limiting factor is the volume of text. For the research paper behind word2vec, to get accurate associations for common words (King, man, woman, etc.) required a news sources training text of order a billion words. This is roughly the size of all of Wikipedia, but the text in Wikipedia has many more rare words, which spreads the number of training examples per word rather thin. To address that, I'm thinking of expanding the project to use Common Crawl data (http://commoncrawl.org/ http://commoncrawl.org/) to dramatically expand the available supply of data.