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
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
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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