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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 126–150 of 1773 papers

TitleStatusHype
Order Matters in the Presence of Dataset Imbalance for Multilingual Learning—0
Improving Neural Machine Translation by Multi-Knowledge Integration with Prompting—0
Simul-LLM: A Framework for Exploring High-Quality Simultaneous Translation with Large Language Models—0
Relevance-guided Neural Machine Translation—0
Reducing Gender Bias in Machine Translation through Counterfactual Data Generation—0
DP-NMT: Scalable Differentially-Private Machine TranslationCode0
Context-aware Neural Machine Translation for English-Japanese Business Scene DialoguesCode0
On Using Distribution-Based Compositionality Assessment to Evaluate Compositional Generalisation in Machine TranslationCode0
On-the-Fly Fusion of Large Language Models and Machine Translation—0
Direct Preference Optimization for Neural Machine Translation with Minimum Bayes Risk DecodingCode1
Don't Overlook the Grammatical Gender: Bias Evaluation for Hindi-English Machine TranslationCode0
There's no Data Like Better Data: Using QE Metrics for MT Data Filtering—0
Memorisation Cartography: Mapping out the Memorisation-Generalisation Continuum in Neural Machine Translation—0
Gender Inflected or Bias Inflicted: On Using Grammatical Gender Cues for Bias Evaluation in Machine TranslationCode0
Improving Machine Translation with Large Language Models: A Preliminary Study with Cooperative DecodingCode0
Replicable Benchmarking of Neural Machine Translation (NMT) on Low-Resource Local Languages in IndonesiaCode0
Integrating Pre-trained Language Model into Neural Machine Translation—0
Reference Free Domain Adaptation for Translation of Noisy Questions with Question Specific RewardsCode0
Contextual Refinement of Translations: Large Language Models for Sentence and Document-Level Post-Editing—0
Code-Switching with Word Senses for Pretraining in Neural Machine Translation—0
On Synthetic Data for Back TranslationCode0
Ask Language Model to Clean Your Noisy Translation Data—0
Direct Neural Machine Translation with Task-level Mixture of Experts models—0
knn-seq: Efficient, Extensible kNN-MT FrameworkCode1
Enhancing Neural Machine Translation with Semantic UnitsCode0
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