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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

Showing 251275 of 1773 papers

TitleStatusHype
DC-MBR: Distributional Cooling for Minimum Bayesian Risk Decoding0
Neural Machine Translation with Contrastive Translation MemoriesCode1
Improving Simultaneous Machine Translation with Monolingual DataCode1
Word Alignment in the Era of Deep Learning: A Tutorial0
PhraseTransformer: An Incorporation of Local Context Information into Sequence-to-sequence Semantic ParsingCode0
Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?Code0
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence ModelingCode1
Rank-One Editing of Encoder-Decoder Models0
MarianCG: a code generation transformer model inspired by machine translationCode1
A Copy Mechanism for Handling Knowledge Base Elements in SPARQL Neural Machine TranslationCode0
Reducing Hallucinations in Neural Machine Translation with Feature Attribution0
Easy Guided Decoding in Providing Suggestions for Interactive Machine TranslationCode0
HilMeMe: A Human-in-the-Loop Machine Translation Evaluation Metric Looking into Multi-Word Expressions0
What Knowledge Is Needed? Towards Explainable Memory for kNN-MT Domain AdaptationCode1
Parallel Attention Forcing for Machine Translation0
Specializing Multi-domain NMT via Penalizing Low Mutual Information0
Analyzing the Use of Influence Functions for Instance-Specific Data Filtering in Neural Machine Translation0
Finding Memo: Extractive Memorization in Constrained Sequence Generation TasksCode0
SIT at MixMT 2022: Fluent Translation Built on Giant Pre-trained Models0
A Semi-supervised Approach for a Better Translation of Sentiment in Dialectical Arabic UGT0
Can Domains Be Transferred Across Languages in Multi-Domain Multilingual Neural Machine Translation?0
Towards Robust k-Nearest-Neighbor Machine TranslationCode1
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine TranslationCode1
Categorizing Semantic Representations for Neural Machine Translation0
DICTDIS: Dictionary Constrained Disambiguation for Improved NMT0
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