Titlebook: Joint Training for Neural Machine Translation; Yong Cheng Book 2019 Springer Nature Singapore Pte Ltd. 2019 Machine Translation.Neural Mac

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Semi-supervised Learning for Neural Machine Translation,ation. Since parallel corpora are usually limited in quantity, quality, and coverage, especially for low-resource languages, it is appealing to exploit monolingual corpora to improve NMT. We propose a semi-supervised approach for training NMT models on the concatenation of labeled (parallel corpora)

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礦石

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Related Work,s. The related works confirm the importance of attentional mechanisms. Then we investigate how the bidirectional information is captured in SMT and NMT. Next we summarize a number of work which incorporate additional data resources, such as monolingual corpora and pivot language corpora, into machin

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果仁

an musicologist G. Daunoravi?ien?, intellectual and affective communication between the orator/music and listener characteristic of the Baroque aesthetic means that not only the former (the addresser) but also the latter (the addressee) participates in the becoming of the work. Mention of other prin

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