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We introduce Trans-gram, a simple and computationally-efficient method to simultaneously learn and align word-embeddings for a variety of languages, using only monolingual data and a smaller set of sentence-aligned data. We use our new method to compute aligned word-embeddings for twenty-one languages using English as a pivot language. We show that some(More)
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