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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 151–200 of 1773 papers

TitleStatusHype
Towards a Better Understanding of Variations in Zero-Shot Neural Machine Translation PerformanceCode0
Towards Example-Based NMT with Multi-Levenshtein TransformersCode0
Quality-Aware Translation Models: Efficient Generation and Quality Estimation in a Single Model—0
Hindi to English: Transformer-Based Neural Machine Translation—0
Domain Adaptation for Arabic Machine Translation: The Case of Financial Texts—0
OSN-MDAD: Machine Translation Dataset for Arabic Multi-Dialectal Conversations on Online Social Media—0
Towards Effective Disambiguation for Machine Translation with Large Language Models—0
RedPenNet for Grammatical Error Correction: Outputs to Tokens, Attentions to SpansCode0
MBR and QE Finetuning: Training-time Distillation of the Best and Most Expensive Decoding Methods—0
Amplifying Pathological Detection in EEG Signaling Pathways through Cross-Dataset Transfer LearningCode3
Gender-specific Machine Translation with Large Language Models—0
Epi-Curriculum: Episodic Curriculum Learning for Low-Resource Domain Adaptation in Neural Machine Translation—0
Impact of Visual Context on Noisy Multimodal NMT: An Empirical Study for English to Indian LanguagesCode0
A Classification-Guided Approach for Adversarial Attacks against Neural Machine TranslationCode0
CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine TranslationCode1
An Empirical Study of Consistency Regularization for End-to-End Speech-to-Text TranslationCode0
Ngambay-French Neural Machine Translation (sba-Fr)Code0
An Effective Method using Phrase Mechanism in Neural Machine TranslationCode0
Is context all you need? Scaling Neural Sign Language Translation to Large Domains of Discourse—0
Fast Training of NMT Model with Data Sorting—0
SOTASTREAM: A Streaming Approach to Machine Translation TrainingCode1
Evaluating and Optimizing the Effectiveness of Neural Machine Translation in Supporting Code Retrieval Models: A Study on the CAT Benchmark—0
Character-level NMT and language similarity—0
SelfSeg: A Self-supervised Sub-word Segmentation Method for Neural Machine Translation—0
Joint Dropout: Improving Generalizability in Low-Resource Neural Machine Translation through Phrase Pair VariablesCode0
Improving End-to-End Speech Translation by Imitation-Based Knowledge Distillation with Synthetic TranscriptsCode0
Syntax-Aware Complex-Valued Neural Machine Translation—0
Enhancing Supervised Learning with Contrastive Markings in Neural Machine Translation Training—0
Pluggable Neural Machine Translation Models via Memory-augmented AdaptersCode0
xSIM++: An Improved Proxy to Bitext Mining Performance for Low-Resource LanguagesCode0
Towards Accurate Translation via Semantically Appropriate Application of Lexical ConstraintsCode0
A Relaxed Optimization Approach for Adversarial Attacks against Neural Machine Translation Models—0
Textual Augmentation Techniques Applied to Low Resource Machine Translation: Case of Swahili—0
Learning Multilingual Sentence Representations with Cross-lingual Consistency RegularizationCode0
Rethinking Translation Memory Augmented Neural Machine Translation—0
Improving Long Context Document-Level Machine Translation—0
On Search Strategies for Document-Level Neural Machine Translation—0
MobileNMT: Enabling Translation in 15MB and 30msCode1
Extract and Attend: Improving Entity Translation in Neural Machine Translation—0
Leveraging Auxiliary Domain Parallel Data in Intermediate Task Fine-tuning for Low-resource TranslationCode0
Assessing the Importance of Frequency versus Compositionality for Subword-based Tokenization in NMTCode0
How Does Pretraining Improve Discourse-Aware Translation?—0
Translation-Enhanced Multilingual Text-to-Image Generation—0
Augmenting Large Language Model Translators via Translation Memories—0
CODET: A Benchmark for Contrastive Dialectal Evaluation of Machine Translation—0
Bridging the Domain Gaps in Context Representations for k-Nearest Neighbor Neural Machine TranslationCode1
On the Copying Problem of Unsupervised NMT: A Training Schedule with a Language Discriminator LossCode0
Gender Lost In Translation: How Bridging The Gap Between Languages Affects Gender Bias in Zero-Shot Multilingual TranslationCode0
Songs Across Borders: Singable and Controllable Neural Lyric TranslationCode1
Do GPTs Produce Less Literal Translations?Code0
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