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First provide a summary of the paper, and then address the following criteria: Quality, clarity, originality and significance. This paper proposes to learn bilingual word vector representations through an autoencoder. The novelty of this approach is to not rely on word-level alignments. It only requires aligned sentences. An autoencoder model is used to reconstruct the bag-of-words representation of aligned sentences, within and between languages.