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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 201–250 of 1773 papers

TitleStatusHype
MTCue: Learning Zero-Shot Control of Extra-Textual Attributes by Leveraging Unstructured Context in Neural Machine TranslationCode0
Leveraging GPT-4 for Automatic Translation Post-Editing—0
BigVideo: A Large-scale Video Subtitle Translation Dataset for Multimodal Machine TranslationCode1
Benchmarking Machine Translation with Cultural AwarenessCode0
Neural Machine Translation for Code Generation—0
Nearest Neighbor Machine Translation is Meta-Optimizer on Output Projection LayerCode0
Machine Translation by Projecting Text into the Same Phonetic-Orthographic Space Using a Common Encoding—0
Pseudo-Label Training and Model Inertia in Neural Machine Translation—0
ReSeTOX: Re-learning attention weights for toxicity mitigation in machine translationCode0
Progressive Translation: Improving Domain Robustness of Neural Machine Translation with Intermediate SequencesCode0
Improving Zero-shot Multilingual Neural Machine Translation by Leveraging Cross-lingual Consistency RegularizationCode1
Implications of Multi-Word Expressions on English to Bharti Braille Machine Translation—0
Unified Model Learning for Various Neural Machine Translation—0
Sentiment Perception Adversarial Attacks on Neural Machine Translation Systems—0
Neural Machine Translation Models with Attention-Based Dropout LayerCode0
Exploring Paracrawl for Document-level Neural Machine TranslationCode0
The eBible Corpus: Data and Model Benchmarks for Bible Translation for Low-Resource LanguagesCode0
Improving Autoregressive NLP Tasks via Modular Linearized Attention—0
A Comprehensive Evaluation of Neural SPARQL Query Generation from Natural Language Questions—0
Neural Machine Translation For Low Resource LanguagesCode0
Learning Homographic Disambiguation Representation for Neural Machine Translation—0
Semi-supervised Neural Machine Translation with Consistency Regularization for Low-Resource Languages—0
KÚ <MASK>: Integrating Yorùbá cultural greetings into machine translation—0
Exploiting Multilingualism in Low-resource Neural Machine Translation via Adversarial Learning—0
Bilex Rx: Lexical Data Augmentation for Massively Multilingual Machine TranslationCode0
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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