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-.
Dual Learning for Machine Translation
While neural machine translation (NMT) is making good progress in the past two years tens of millions of bilingual sentence pairs are needed for its
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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