Embeddings trained on corpora specific for multiple time spans can be used for two research purposes, namely, screening the semantic evolution of lexical items over time (Kim et al., 2014; Kulkarni et al., 2015;<cite> Hamilton et al., 2016)</cite> and exploring the meaning of lexical items during a specific time span by finding their closest neighbors in embedding space.