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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 1726–1750 of 1773 papers

TitleStatusHype
Training and Adapting Multilingual NMT for Less-resourced and Morphologically Rich LanguagesCode0
Speeding up Transformer Decoding via an Attention Refinement NetworkCode0
Leveraging Neural Machine Translation for Word AlignmentCode0
Training Deeper Neural Machine Translation Models with Transparent AttentionCode0
Zero-Shot Dual Machine TranslationCode0
Dynamic Data Selection for Neural Machine TranslationCode0
NMT-Obfuscator Attack: Ignore a sentence in translation with only one wordCode0
Stanford Neural Machine Translation Systems for Spoken Language DomainsCode0
Cross-Language Transfer of High-Quality Annotations: Combining Neural Machine Translation with Cross-Linguistic Span Alignment to Apply NER to Clinical Texts in a Low-Resource LanguageCode0
LLMEffiChecker: Understanding and Testing Efficiency Degradation of Large Language ModelsCode0
Unsupervised Neural Machine TranslationCode0
Reliability and Learnability of Human Bandit Feedback for Sequence-to-Sequence Reinforcement LearningCode0
Stay On-Topic: Generating Context-specific Fake Restaurant ReviewsCode0
Localizing Open-Ontology QA Semantic Parsers in a Day Using Machine TranslationCode0
Non-Parametric Online Learning from Human Feedback for Neural Machine TranslationCode0
Converting the Point of View of Messages Spoken to Virtual AssistantsCode0
Continual Mixed-Language Pre-Training for Extremely Low-Resource Neural Machine TranslationCode0
Replicable Benchmarking of Neural Machine Translation (NMT) on Low-Resource Local Languages in IndonesiaCode0
Stronger Baselines for Trustable Results in Neural Machine TranslationCode0
Dynamic Data Selection and Weighting for Iterative Back-TranslationCode0
A Study of Reinforcement Learning for Neural Machine TranslationCode0
ReSeTOX: Re-learning attention weights for toxicity mitigation in machine translationCode0
The Unreasonable Volatility of Neural Machine Translation ModelsCode0
Restoring the Sister: Reconstructing a Lexicon from Sister Languages using Neural Machine TranslationCode0
Rethinking Targeted Adversarial Attacks For Neural Machine TranslationCode0
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