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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 501–525 of 1773 papers

TitleStatusHype
SALTED: A Framework for SAlient Long-Tail Translation Error Detection—0
Exploiting Social Media Content for Self-Supervised Style TransferCode0
Data Augmentation to Address Out-of-Vocabulary Problem in Low-Resource Sinhala-English Neural Machine Translation—0
Controlling Formality in Low-Resource NMT with Domain Adaptation and Re-Ranking: SLT-CDT-UoS at IWSLT2022—0
AdMix: A Mixed Sample Data Augmentation Method for Neural Machine Translation—0
Training Mixed-Domain Translation Models via Federated Learning—0
Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES—0
The Implicit Length Bias of Label Smoothing on Beam Search Decoding—0
Machine Translation for Livonian: Catering to 20 Speakers—0
Producing Standard German Subtitles for Swiss German TV Content—0
Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out TrainingCode0
BPE beyond Word Boundary: How NOT to use Multi Word Expressions in Neural Machine TranslationCode0
NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2022—0
Translation Techies @DravidianLangTech-ACL2022-Machine Translation in Dravidian Languages—0
What Works and Doesn’t Work, A Deep Decoder for Neural Machine Translation—0
Prediction Difference Regularization against Perturbation for Neural Machine Translation—0
Measuring and Mitigating Name Biases in Neural Machine Translation—0
Locality-Sensitive Hashing for Long Context Neural Machine Translation—0
On Target Representation in Continuous-output Neural Machine Translation—0
Flow-Adapter Architecture for Unsupervised Machine Translation—0
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation?—0
DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation—0
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip TranslationCode0
Dynamic Position Encoding for Transformers—0
Efficient Cluster-Based k-Nearest-Neighbor Machine TranslationCode0
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