Neural Machine Translation
Alignment Based Neural Machine Translation
... Neural machine translation (NMT) has emerged recently as a promising statis- tical machine translation ...NMT, neural networks (NN) are directly used to produce translations, ...
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Translating Phrases in Neural Machine Translation
... and machine translation (Sag et ...current neural machine translation (NMT) which reads and gener- ates sentences word by ...statistical machine translation (SMT) sys- tem ...
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Deep architectures for Neural Machine Translation
... Le, Mohammad Norouzi, Wolfgang Macherey, Maxim Krikun, Yuan Cao, Qin Gao, Klaus Macherey, Jeff Klingner, Apurva Shah, Melvin Johnson, Xiaobing Liu, Lukasz Kaiser, Stephan Gouws, Yoshikiyo Kato, Taku Kudo, Hideto Kazawa, ...
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Handling Homographs in Neural Machine Translation
... for machine translation systems, as it is difficult to select the correct translation based on the ...of neural machine translation (NMT) sys- tems, which can theoretically take ...
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Massively Multilingual Neural Machine Translation
... Multilingual neural machine translation (NMT) enables training a single model that supports translation from multiple source lan- guages into multiple target ...between translation ...
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Neural Machine Translation for English Tamil
... end, machine translation is an effi- cient approach to translate text without any hu- man ...involvement. Neural machine translation (NMT) is one of the most recent and effective ...
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Generalizing Back Translation in Neural Machine Translation
... Back-translation — data augmentation by translating target monolingual data — is a crucial component in modern neural machine translation (NMT). In this work, we refor- mulate ...
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On the use of BERT for Neural Machine Translation
... Pretrained Language Models (LM) such as ELMO and BERT (Peters et al., 2018; Devlin et al., 2018) have turned out to significantly improve the quality of several Natural Language Process- ing (NLP) tasks by transferring ...
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Byte based Neural Machine Translation
... based neural machine translation with a diversity of languages, including languages as ...byte-based neural machine translation ...character neural machine ...
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Six Challenges for Neural Machine Translation
... abel Rebollo, Kathy Yang, Jean Senellart, Egor Akhanov, Patrice Brunelle, Aurelien Coquard, Yongchao Deng, Satoshi Enoue, Chiyo Geiss, Joshua Johanson, Ardas Khalsa, Raoum Khiari, Byeongil Ko, Catherine Kobus, Jean ...
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OpenNMT: Neural Machine Translation Toolkit
... for neural machine translation ...and translation support, as well as detailed pedagogical documentation about the underlying tech- ...
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Generative Neural Machine Translation
... Generative Neural Machine Translation (GNMT), a latent variable architecture which is designed to model the semantics of the source and target ...encoder-decoder translation model by adding a ...
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Graph Based Translation Memory for Neural Machine Translation
... based neural machine translation has been witnessed increasing ...the translation rules as SMT, many works resort to different ...a translation memory to fine tune the NMT model which ...
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Memory augmented Neural Machine Translation
... Neural machine translation (NMT) has achieved notable success in recent times, however it is also widely recognized that this approach has limitations with han- dling infrequent words and word ...
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Incorporating Discrete Translation Lexicons into Neural Machine Translation
... Neural machine translation (NMT) often makes mistakes in translating low-frequency content words that are essential to understand- ing the meaning of the ...the translation candi- date by ...
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An Exploration of Placeholding in Neural Machine Translation
... Crego, Josep Maria, Jungi Kim, Guillaume Klein, Anabel Rebollo, Kathy Yang, Jean Senellart, Egor Akhanov, Patrice Brunelle, Aurelien Co- quard, Yongchao Deng, Satoshi Enoue, Chiyo Geiss, Joshua Johanson, Ardas Khalsa, ...
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Neural Machine Translation with Word Predictions
... for neural machine translation (NMT), the hidden states of the recurrent structures in the encoder and decoder carry the crucial information about the ...of translation errors through ...
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Sentiment Aware Neural Machine Translation
... While neural machine translation (NMT) has achieved great progress in recent years, most systems aim to produce one single correct translation for a given source ...the translation ...
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Interactive Attention for Neural Machine Translation
... Neural Machine Translation (NMT) has made promising progress in recent years (Sutskever et ...gating neural network and generation of the target sentence with another ...
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Neural Machine Translation with Supervised Attention
... Many recent works have led to notable improvements in the attention mechanism for neural machine translation. Tu et al. (2016) introduced an explicit coverage vector into the attention mechanism to ...
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