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We propose a method that learns a crosslingual projection of word representations from one language into another. Our method utilizes translatable context pairs as bonus terms of the objective function. In the experiments, our method outperformed existing methods in three language pairs, (English, Spanish), (Japanese, Chinese) and (English, Japanese), without using any additional supervisions.

Accurate Cross-lingual Projection between Count-based Word Vectors by Exploiting Translatable Context Pairs