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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 1101–1125 of 1773 papers

TitleStatusHype
Acquiring Knowledge from Pre-trained Model to Neural Machine Translation—0
Cross-lingual Pre-training Based Transfer for Zero-shot Neural Machine Translation—0
Merging External Bilingual Pairs into Neural Machine Translation—0
Language Modelling with NMT Query Translation for Amharic-Arabic Cross-Language Information Retrieval—0
Neural Machine Translation with Explicit Phrase Alignment—0
Iterative Batch Back-Translation for Neural Machine Translation: A Conceptual Model—0
Learning to Reuse Translations: Guiding Neural Machine Translation with Examples—0
Character-based NMT with Transformer—0
Diversity by Phonetics and its Application in Neural Machine Translation—0
Translationese as a Language in "Multilingual" NMT—0
Language Model-Driven Unsupervised Neural Machine Translation—0
CCMatrix: Mining Billions of High-Quality Parallel Sentences on the WEBCode0
Domain Robustness in Neural Machine TranslationCode0
Pretrained Language Models for Document-Level Neural Machine Translation—0
A General Framework for Adaptation of Neural Machine Translation to Simultaneous Translation—0
Multi-Domain Neural Machine Translation with Word-Level Adaptive Layer-wise Domain MixingCode0
Using Interlinear Glosses as Pivot in Low-Resource Multilingual Machine Translation—0
SubCharacter Chinese-English Neural Machine Translation with Wubi encoding—0
Training Neural Machine Translation (NMT) Models using Tensor Train Decomposition on TensorFlow (T3F)—0
On Compositionality in Neural Machine Translation—0
Improving Neural Machine Translation Robustness via Data Augmentation: Beyond Back-TranslationCode0
On the Relation between Position Information and Sentence Length in Neural Machine Translation—0
On the Linguistic Representational Power of Neural Machine Translation Models—0
UCSYNLP-Lab Machine Translation Systems for WAT 2019—0
Analysing concatenation approaches to document-level NMT in two different domains—0
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