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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 1–25 of 1773 papers

TitleStatusHype
Amplifying Pathological Detection in EEG Signaling Pathways through Cross-Dataset Transfer LearningCode3
Neural Speech Synthesis with Transformer NetworkCode2
Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine TranslationCode1
MT-LENS: An all-in-one Toolkit for Better Machine Translation EvaluationCode1
Language-Informed Beam Search Decoding for Multilingual Machine TranslationCode1
Nested Music Transformer: Sequentially Decoding Compound Tokens in Symbolic Music and Audio GenerationCode1
TasTe: Teaching Large Language Models to Translate through Self-ReflectionCode1
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk DecodingCode1
knn-seq: Efficient, Extensible kNN-MT FrameworkCode1
CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine TranslationCode1
SOTASTREAM: A Streaming Approach to Machine Translation TrainingCode1
MobileNMT: Enabling Translation in 15MB and 30msCode1
Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine TranslationCode1
Songs Across Borders: Singable and Controllable Neural Lyric TranslationCode1
BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine TranslationCode1
Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency RegularizationCode1
Simple and Scalable Nearest Neighbor Machine TranslationCode1
Controlling Styles in Neural Machine Translation with Activation PromptCode1
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine TranslationCode1
Neural Machine Translation with Contrastive Translation MemoriesCode1
Improving Simultaneous Machine Translation with Monolingual DataCode1
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence ModelingCode1
MarianCG: a code generation transformer model inspired by machine translationCode1
What Knowledge Is Needed? Towards Explainable Memory for kNN-MT Domain AdaptationCode1
Towards Robust k-Nearest-Neighbor Machine TranslationCode1
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