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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 1601–1625 of 1773 papers

TitleStatusHype
Better Neural Machine Translation by Extracting Linguistic Information from BERTCode0
DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse LanguagesCode0
Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection LayerCode0
Automatic Evaluation and Analysis of Idioms in Neural Machine TranslationCode0
The Curious Case of Hallucinations in Neural Machine TranslationCode0
SGNMT -- A Flexible NMT Decoding Platform for Quick Prototyping of New Models and Search StrategiesCode0
AutoLoss: Learning Discrete Schedules for Alternate OptimizationCode0
Coding Textual Inputs Boosts the Accuracy of Neural NetworksCode0
The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource LanguagesCode0
Enhanced Neural Machine Translation by Learning from DraftCode0
Sharp Models on Dull Hardware: Fast and Accurate Neural Machine Translation Decoding on the CPUCode0
The Ecological Footprint of Neural Machine Translation SystemsCode0
Detecting Word Sense Disambiguation Biases in Machine Translation for Model-Agnostic Adversarial AttacksCode0
Augmenting Neural Machine Translation with Knowledge GraphsCode0
Neural Machine Translation: A Review and SurveyCode0
A Benchmark Dataset for Multi-Level Complexity-Controllable Machine TranslationCode0
Instance Weighting for Neural Machine Translation Domain AdaptationCode0
Learning cross-lingual phonological and orthagraphic adaptations: a case study in improving neural machine translation between low-resource languagesCode0
Integrating Multi-scale Contextualized Information for Byte-based Neural Machine TranslationCode0
Sicilian Translator: A Recipe for Low-Resource NMTCode0
Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate SequencesCode0
As Easy as 1, 2, 3: Behavioural Testing of NMT Systems for Numerical TranslationCode0
English-Japanese Neural Machine Translation with Encoder-Decoder-ReconstructorCode0
Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine TranslationCode0
The Helsinki Neural Machine Translation SystemCode0
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