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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 76–100 of 1773 papers

TitleStatusHype
Adaptive Nearest Neighbor Machine TranslationCode1
Selective Knowledge Distillation for Neural Machine TranslationCode1
Prevent the Language Model from being Overconfident in Neural Machine TranslationCode1
Neural Machine Translation with Monolingual Translation MemoryCode1
Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine TranslationCode1
Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span PredictionCode1
Hidden Backdoors in Human-Centric Language ModelsCode1
Generating Lead Sheets with Affect: A Novel Conditional seq2seq FrameworkCode1
Shellcode_IA32: A Dataset for Automatic Shellcode GenerationCode1
Reward Optimization for Neural Machine Translation with Learned MetricsCode1
Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic LanguagesCode1
A Sketch-Based Neural Model for Generating Commit Messages from DiffsCode1
Document-level grammatical error correctionCode1
Meta-Curriculum Learning for Domain Adaptation in Neural Machine TranslationCode1
CURE: Code-Aware Neural Machine Translation for Automatic Program RepairCode1
Towards a Better Integration of Fuzzy Matches in Neural Machine Translation through Data AugmentationCode1
N-Bref : A High-fidelity Decompiler Exploiting Programming StructuresCode1
Learning Light-Weight Translation Models from Deep TransformerCode1
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for FinnishCode1
PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated ContentsCode1
Emergent Communication Pretraining for Few-Shot Machine TranslationCode1
The MUCOW word sense disambiguation test suite at WMT 2020Code1
Analyzing the Source and Target Contributions to Predictions in Neural Machine TranslationCode1
Human-Paraphrased References Improve Neural Machine TranslationCode1
On Long-Tailed Phenomena in Neural Machine TranslationCode1
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