[PDF] Dual Learning for Machine Translation





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Neural Machine Translation by Jointly Learning to Align and Translate

19-May-2016 Unlike the traditional statistical machine translation the neural machine translation aims at building a single neural network that can be ...



Neural Machine Translation of Rare Words with Subword Units

Neural machine translation (NMT) mod- els typically operate with a fixed vocabu- lary but translation is an open-vocabulary problem.



Neural Machine Translation with Monolingual Translation Memory

01-Aug-2021 Prior work has proved that Translation mem- ory (TM) can boost the performance of Neural. Machine Translation (NMT). In contrast to ex-.



BLEU: a Method for Automatic Evaluation of Machine Translation

BLEU: a Method for Automatic Evaluation of Machine Translation. Kishore Papineni Salim Roukos



A Survey of Deep Learning Techniques for Neural Machine

18-Feb-2020 Machine translation (MT) is a classic sub-field in NLP that investigates how to use computer software to translate the text or speech from one ...



Googles Neural Machine Translation System: Bridging the Gap

08-Oct-2016 Neural Machine Translation (NMT) is an end-to-end learning approach for automated translation with the potential to overcome many of the ...



DEEP: DEnoising Entity Pre-training for Neural Machine Translation

22-May-2022 It has been shown that machine translation models usually generate poor translations for named entities that are infrequent in the train-.



Part 5: Machine Translation Evaluation

6 describes significant recent work by members of the GALE research community on developing improved automatic evaluation metrics for machine translation. 5.1.1 



Beyond English-Centric Multilingual Machine Translation

Abstract. Existing work in translation demonstrated the potential of massively multilingual machine translation by training a single model able to translate 



Neural Machine Translation of Rare Words with Subword Units

Neural machine translation (NMT) mod- els typically operate with a fixed vocabu- lary but translation is an open-vocabulary problem.



The Mathematics of Statistical Machine Translation: Parameter

The Mathematics of Statistical Machine. Translation: Parameter Estimation. Peter E Brown*. IBM T.J. Watson Research Center. Vincent J. Della Pietra*.



Guiding Neural Machine Translation with Retrieved Translation Pieces

One of the difficulties of neural machine trans- lation (NMT) is the recall and appropriate translation of low-frequency words or phrases.



On the Properties of Neural Machine Translation: Encoder--Decoder

ties of the neural machine translation us- ing two models; RNN Encoder–Decoder and a newly proposed gated recursive con- volutional neural network.



Fast and Accurate Neural Machine Translation with Translation

1 août 2021 based neural machine translation (NMT) only on the TM-specialized translation tasks rather than general tasks with a non-negligible com-.



BLEU: a Method for Automatic Evaluation of Machine Translation

BLEU: a Method for Automatic Evaluation of Machine Translation. Kishore Papineni Salim Roukos



Document Graph for Neural Machine Translation - Mingzhou Xu1

7 nov. 2021 neural machine translation (NMT). However most existing document-level NMT methods only consider a few number of previous sen- tences.



Discriminative Reranking for Neural Machine Translation

1 août 2021 These mod- els have a long history in NLP and we re- visit discriminative reranking for modern neu- ral machine translation models by training ...



Machine Translation

4 oct. 2019 are less ambiguous and easier for computers to translate. A brief history of machine translation. Machine translation is an area of research ...



Neural Machine Translation with Monolingual Translation Memory

1 août 2021 Prior work has proved that Translation mem- ory (TM) can boost the performance of Neural. Machine Translation (NMT). In contrast to ex-.

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