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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 226–250 of 1773 papers

TitleStatusHype
Towards Reliable Neural Machine Translation with Consistency-Aware Meta-Learning—0
Preparing the Vuk'uzenzele and ZA-gov-multilingual South African multilingual corporaCode0
Exploiting Language Relatedness in Machine Translation Through Domain Adaptation Techniques—0
Targeted Adversarial Attacks against Neural Machine TranslationCode0
A Systematic Analysis of Vocabulary and BPE Settings for Optimal Fine-tuning of NMT: A Case Study of In-domain Translation—0
Are Character-level Translations Worth the Wait? Comparing ByT5 and mT5 for Machine TranslationCode0
Federated Nearest Neighbor Machine Translation—0
Simple and Scalable Nearest Neighbor Machine TranslationCode1
Generalization algorithm of multimodal pre-training model based on graph-text self-supervised training—0
TransFool: An Adversarial Attack against Neural Machine Translation ModelsCode0
Attention Link: An Efficient Attention-Based Low Resource Machine Translation Architecture—0
A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation—0
Improving Machine Translation with Phrase Pair Injection and Corpus Filtering—0
Prompting Neural Machine Translation with Translation Memories—0
Building a Parallel Corpus and Training Translation Models Between Luganda and English—0
Boosting Neural Networks to Decompile Optimized Binaries—0
Active Learning for Neural Machine TranslationCode0
Synthetic Pre-Training Tasks for Neural Machine Translation—0
Optimal Transport for Unsupervised Hallucination Detection in Neural Machine TranslationCode0
Continual Knowledge Distillation for Neural Machine TranslationCode0
Better Datastore, Better Translation: Generating Datastores from Pre-Trained Models for Nearest Neural Machine Translation—0
Controlling Styles in Neural Machine Translation with Activation PromptCode1
P-Transformer: Towards Better Document-to-Document Neural Machine TranslationCode0
Who Evaluates the Evaluators? On Automatic Metrics for Assessing AI-based Offensive Code Generators—0
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine TranslationCode1
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