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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 2650 of 1773 papers

TitleStatusHype
Data Rejuvenation: Exploiting Inactive Training Examples for Neural Machine TranslationCode1
Adversarial Subword Regularization for Robust Neural Machine TranslationCode1
Document-level grammatical error correctionCode1
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine TranslationCode1
Effective Adversarial Regularization for Neural Machine TranslationCode1
A Sketch-Based Neural Model for Generating Commit Messages from DiffsCode1
Benchmarking Multidomain English-Indonesian Machine TranslationCode1
Analyzing the Source and Target Contributions to Predictions in Neural Machine TranslationCode1
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine TranslationCode1
A Survey of Deep Learning Techniques for Neural Machine TranslationCode1
A Survey on Non-Autoregressive Generation for Neural Machine Translation and BeyondCode1
A Template-based Method for Constrained Neural Machine TranslationCode1
Automatic Dialect Adaptation in Finnish and its Effect on Perceived CreativityCode1
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine TranslationCode1
Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine TranslationCode1
BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine TranslationCode1
Bi-SimCut: A Simple Strategy for Boosting Neural Machine TranslationCode1
Adaptive Nearest Neighbor Machine TranslationCode1
Can Automatic Post-Editing Improve NMT?Code1
ChrEn: Cherokee-English Machine Translation for Endangered Language RevitalizationCode1
ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective FeedbackCode1
Domain Adaptation of Neural Machine Translation by Lexicon InductionCode1
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine TranslationCode1
Continuous Language Generative FlowCode1
CommitBERT: Commit Message Generation Using Pre-Trained Programming Language ModelCode1
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