The first one is a Turkish news-web corpus containing 423M words and 491M tokens, namely the BOUN Web Corpus BIBREF9 , BIBREF10 . The second one is composed of 21M Turkish tweets with 241M words and 293M tokens, where we combined 1M tweets from TS TweetS by Sezer-2013 and 20M Turkish Tweets by Bolat and Amasyalı. 
 Question: What data was used to build the word embeddings?
Turkish news-web corpus  TS TweetS by Sezer-2013 and 20M Turkish Tweets by Bolat and Amasyalı