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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 351–400 of 1773 papers

TitleStatusHype
A Systematic Study Reveals Unexpected Interactions in Pre-Trained Neural Machine Translation—0
Challenges of Neural Machine Translation for Short Texts—0
Achievements of the PRINCIPLE Project: Promoting MT for Croatian, Icelandic, Irish and Norwegian—0
CREAMT: Creativity and narrative engagement of literary texts translated by translators and NMT—0
InDeep × NMT: Empowering Human Translators via Interpretable Neural Machine Translation—0
Latest Development in the FoTran Project – Scaling Up Language Coverage in Neural Machine Translation Using Distributed Training with Language-Specific Components—0
Fast-Paced Improvements to Named Entity Handling for Neural Machine Translation—0
Passing Parser Uncertainty to the Transformer. Labeled Dependency Distributions for Neural Machine Translation.—0
Dynamic Adaptation of Neural Machine-Translation Systems Through Translation Exemplars—0
Multilingual Neural Machine Translation With the Right Amount of Sharing—0
MultitraiNMT Erasmus+ project: Machine Translation Training for multilingual citizens (multitrainmt.eu)—0
Comparing Multilingual NMT Models and Pivoting—0
Comparing and combining tagging with different decoding algorithms for back-translation in NMT: learnings from a low resource scenario—0
Pre-training Synthetic Cross-lingual Decoder for Multilingual Samples Adaptation in E-Commerce Neural Machine Translation—0
Can Transformer be Too Compositional? Analysing Idiom Processing in Neural Machine TranslationCode0
Patching Leaks in the Charformer for Efficient Character-Level GenerationCode0
Bitext Mining Using Distilled Sentence Representations for Low-Resource LanguagesCode0
DivEMT: Neural Machine Translation Post-Editing Effort Across Typologically Diverse LanguagesCode0
Towards Opening the Black Box of Neural Machine Translation: Source and Target Interpretations of the TransformerCode1
A Template-based Method for Constrained Neural Machine TranslationCode1
SALTED: A Framework for SAlient Long-Tail Translation Error Detection—0
Data Augmentation to Address Out-of-Vocabulary Problem in Low-Resource Sinhala-English Neural Machine Translation—0
Exploiting Social Media Content for Self-Supervised Style TransferCode0
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
Unifying the Convergences in Multilingual Neural Machine TranslationCode1
Training Mixed-Domain Translation Models via Federated Learning—0
The Implicit Length Bias of Label Smoothing on Beam Search Decoding—0
Jam or Cream First? Modeling Ambiguity in Neural Machine Translation with SCONES—0
Quality-Aware Decoding for Neural Machine TranslationCode1
Using Neural Machine Translation Methods for Sign Language TranslationCode1
Prediction Difference Regularization against Perturbation for Neural Machine Translation—0
Measuring and Mitigating Name Biases in Neural Machine Translation—0
Translation Techies @DravidianLangTech-ACL2022-Machine Translation in Dravidian Languages—0
Machine Translation for Livonian: Catering to 20 Speakers—0
BPE beyond Word Boundary: How NOT to use Multi Word Expressions in Neural Machine TranslationCode0
Domain Generalisation of NMT: Fusing Adapters with Leave-One-Domain-Out TrainingCode0
Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine TranslationCode1
Producing Standard German Subtitles for Swiss German TV Content—0
On Target Representation in Continuous-output Neural Machine Translation—0
NVIDIA NeMo Offline Speech Translation Systems for IWSLT 2022—0
Prompt-Driven Neural Machine TranslationCode1
Locality-Sensitive Hashing for Long Context Neural Machine Translation—0
What Works and Doesn’t Work, A Deep Decoder for Neural Machine Translation—0
Nearest Neighbor Knowledge Distillation for Neural Machine TranslationCode1
NMTScore: A Multilingual Analysis of Translation-based Text Similarity MeasuresCode1
When do Contrastive Word Alignments Improve Many-to-many Neural Machine Translation?—0
Flow-Adapter Architecture for Unsupervised Machine Translation—0
DaLC: Domain Adaptation Learning Curve Prediction for Neural Machine Translation—0
A Survey on Non-Autoregressive Generation for Neural Machine Translation and BeyondCode1
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