Amir Pouya Aghasadeghi

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In this paper, we propose two new features for estimating phrase based machine translation parameters. We only use mon-olingual data with the assumption that the phrase table is given to us, but all of its scores have been removed. Our method is based on two recently introduced neural network vector representation models for words and sentences. It is the(More)
—In this paper, we propose two new features for estimating phrase-based machine translation parameters from mainly monolingual data. Our method is based on two recently introduced neural network vector representation models for words and sentences. It is the first time that these models have been used in an end to end phrase-based machine translation(More)
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