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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 51–75 of 1773 papers

TitleStatusHype
BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine TranslationCode1
Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine TranslationCode1
Improving Massively Multilingual Neural Machine Translation and Zero-Shot TranslationCode1
Bicleaner AI: Bicleaner Goes NeuralCode1
Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency RegularizationCode1
Bi-SimCut: A Simple Strategy for Boosting Neural Machine TranslationCode1
Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine TranslationCode1
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence ModelingCode1
Adversarial Subword Regularization for Robust Neural Machine TranslationCode1
Can Automatic Post-Editing Improve NMT?Code1
JASS: Japanese-specific Sequence to Sequence Pre-training for Neural Machine TranslationCode1
JoeyS2T: Minimalistic Speech-to-Text Modeling with JoeyNMTCode1
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine TranslationCode1
Document-level grammatical error correctionCode1
Analyzing the Source and Target Contributions to Predictions in Neural Machine TranslationCode1
Can We Generate Shellcodes via Natural Language? An Empirical StudyCode1
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine TranslationCode1
CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine TranslationCode1
A Large-Scale Study of Machine Translation in Turkic LanguagesCode1
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for FinnishCode1
A Sketch-Based Neural Model for Generating Commit Messages from DiffsCode1
A Survey on Non-Autoregressive Generation for Neural Machine Translation and BeyondCode1
Continuous Language Generative FlowCode1
Controlling Styles in Neural Machine Translation with Activation PromptCode1
Generating Lead Sheets with Affect: A Novel Conditional seq2seq FrameworkCode1
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