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Neural machine translation and human translation
Babel. Revue internationale de la traduction / International Journal of Translation, 2023Abstract By comparing the Chinese, English and French versions of “Exhortations of Learning” and “On Building a Human Community with a Shared Future,” translated by human translators and the neural machine translation systems respectively, this essay finds out that human translators have addressed the political and ideological factors more tactfully ...
Anfeng Sheng, Yankun Kong
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2019
The emergence of neural machine translation (NMT) has revolutionized the filed of machine translation. In the first section, we introduce the fundamental of NMT models. Then we study the advantages of NMT over traditional statistical machine translations (SMT), some of its existing challenges and recent research efforts.
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The emergence of neural machine translation (NMT) has revolutionized the filed of machine translation. In the first section, we introduce the fundamental of NMT models. Then we study the advantages of NMT over traditional statistical machine translations (SMT), some of its existing challenges and recent research efforts.
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Neural Machine Translation with Deep Attention
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2020Deepening neural models has been proven very successful in improving the model's capacity when solving complex learning tasks, such as the machine translation task. Previous efforts on deep neural machine translation mainly focus on the encoder and the decoder, while little on the attention mechanism.
Biao Zhang, Deyi Xiong, Jinsong Su
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Neural Machine Translation between
Proceedings of the Sixth Workshop on, 2019Thazin Myint Oo +2 more
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