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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 17311740 of 1773 papers

TitleStatusHype
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
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