A Universal Semantic Space

01/21/2018

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by   Philipp Dufter, et al.

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Multilingual embeddings build on the success of monolingual embeddings and have applications in crosslingual transfer, in machine translation and in the digital humanities. We present the first multilingual embedding space for thousands of languages, a much larger number of languages than in prior work.