Embeddings of direct translations overlap, and semantic relationships across bilingual embeddings were further improved through unsupervised learning on a large unlabeled corpus.
we produce for the research community a first set of Mandarin Chinese word embeddings with 100,000 words trained on the Chinese Gigaword corpus.