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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 101–150 of 1773 papers

TitleStatusHype
NMTScore: A Multilingual Analysis of Translation-based Text Similarity MeasuresCode1
Non-Parametric Unsupervised Domain Adaptation for Neural Machine TranslationCode1
On Exposure Bias, Hallucination and Domain Shift in Neural Machine TranslationCode1
On Long-Tailed Phenomena in Neural Machine TranslationCode1
On the Complementarity between Pre-Training and Back-Translation for Neural Machine TranslationCode1
On the Evaluation of Machine Translation for Terminology ConsistencyCode1
OpenNMT: Neural Machine Translation ToolkitCode1
Paraphrase Generation as Zero-Shot Multilingual Translation: Disentangling Semantic Similarity from Lexical and Syntactic DiversityCode1
PMIndia -- A Collection of Parallel Corpora of Languages of IndiaCode1
Prevent the Language Model from being Overconfident in Neural Machine TranslationCode1
Rethinking Zero-shot Neural Machine Translation: From a Perspective of Latent VariablesCode1
Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMTCode1
Reward Optimization for Neural Machine Translation with Learned MetricsCode1
Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic LanguagesCode1
A Novel Graph-based Multi-modal Fusion Encoder for Neural Machine TranslationCode1
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for FinnishCode1
Sequence Generation with Mixed RepresentationsCode1
Sequence-Level Knowledge DistillationCode1
Adversarial Subword Regularization for Robust Neural Machine TranslationCode1
SimAlign: High Quality Word Alignments without Parallel Training Data using Static and Contextualized EmbeddingsCode1
Songs Across Borders: Singable and Controllable Neural Lyric TranslationCode1
SOTASTREAM: A Streaming Approach to Machine Translation TrainingCode1
TasTe: Teaching Large Language Models to Translate through Self-ReflectionCode1
The first neural machine translation system for the Erzya languageCode1
The MUCOW word sense disambiguation test suite at WMT 2020Code1
TM2T: Stochastic and Tokenized Modeling for the Reciprocal Generation of 3D Human Motions and TextsCode1
Nested Music Transformer: Sequentially Decoding Compound Tokens in Symbolic Music and Audio GenerationCode1
A Survey on Non-Autoregressive Generation for Neural Machine Translation and BeyondCode1
Automatic Machine Translation Evaluation in Many Languages via Zero-Shot ParaphrasingCode1
AutoMoE: Heterogeneous Mixture-of-Experts with Adaptive Computation for Efficient Neural Machine TranslationCode1
Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine TranslationCode1
Bicleaner AI: Bicleaner Goes NeuralCode1
Bi-SimCut: A Simple Strategy for Boosting Neural Machine TranslationCode1
Breaking the Representation Bottleneck of Chinese Characters: Neural Machine Translation with Stroke Sequence ModelingCode1
ChrEn: Cherokee-English Machine Translation for Endangered Language RevitalizationCode1
ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective FeedbackCode1
CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program RepairCode1
A Sketch-Based Neural Model for Generating Commit Messages from DiffsCode1
A Large-Scale Study of Machine Translation in Turkic LanguagesCode1
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine TranslationCode1
Continuous Language Generative FlowCode1
Controlling Styles in Neural Machine Translation with Activation PromptCode1
A Template-based Method for Constrained Neural Machine TranslationCode1
Distill the Image to Nowhere: Inversion Knowledge Distillation for Multimodal Machine TranslationCode1
Document-Level Neural Machine Translation with Hierarchical Attention NetworksCode1
Does Multi-Encoder Help? A Case Study on Context-Aware Neural Machine TranslationCode1
A Survey of Deep Learning Techniques for Neural Machine TranslationCode1
Emergent Communication Pretraining for Few-Shot Machine TranslationCode1
Evaluating Multiway Multilingual NMT in the Turkic LanguagesCode1
Towards Making the Most of Cross-Lingual Transfer for Zero-Shot Neural Machine TranslationCode1
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