1) The document discusses methods for creating bilingual word representations, which are vectors that represent words from two languages in a single vector space. 2) It presents an approach called Bilingual Skipgram that trains word representations by substituting words from one language to predict contexts in the other language. 3) Evaluation shows this approach achieves better performance on monolingual tasks compared to previous methods, while still performing well on cross-lingual tasks.