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NMT

Neural machine translation is an approach to machine translation that uses an artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.

Papers

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Showing 1076–1100 of 1773 papers

TitleStatusHype
Synthetic Source Language Augmentation for Colloquial Neural Machine Translation—0
SYSTRAN's Pure Neural Machine Translation Systems—0
Tagged Back-Translation—0
Tagged Back-translation Revisited: Why Does It Really Work?—0
Tag-less Back-Translation—0
Tailoring Neural Architectures for Translating from Morphologically Rich Languages—0
Taking Actions Separately: A Bidirectionally-Adaptive Transfer Learning Method for Low-Resource Neural Machine Translation—0
Target Conditioned Sampling: Optimizing Data Selection for Multilingual Neural Machine Translation—0
Target Conditioning for One-to-Many Generation—0
A Targeted Attack on Black-Box Neural Machine Translation with Parallel Data Poisoning—0
Temporal Attention Model for Neural Machine Translation—0
Tencent AI Lab Machine Translation Systems for WMT20 Chat Translation Task—0
TencentFmRD Neural Machine Translation for WMT18—0
Terminology-Aware Segmentation and Domain Feature for the WMT19 Biomedical Translation Task—0
Terminology-Aware Sentence Mining for NMT Domain Adaptation: ADAPT’s Submission to the Adap-MT 2020 English-to-Hindi AI Translation Shared Task—0
Testing Untestable Neural Machine Translation: An Industrial Case—0
Text2Sign: Towards Sign Language Production Using Neural Machine Translation and Generative Adversarial Networks—0
APE at Scale and its Implications on MT Evaluation Biases—0
Textual Augmentation Techniques Applied to Low Resource Machine Translation: Case of Swahili—0
The ADAPT’s Submissions to the WMT20 Biomedical Translation Task—0
The ADAPT System Description for the WMT20 News Translation Task—0
The Benefit of Pseudo-Reference Translations in Quality Estimation of MT Output—0
The Comparison of Translationese in Machine Translation and Human Transation in terms of Translation Relations—0
The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16—0
The Helsinki submission to the AmericasNLP shared task—0
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