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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 51–100 of 1773 papers

TitleStatusHype
Linguistically-driven Multi-task Pre-training for Low-resource Neural Machine TranslationCode1
A Large-Scale Study of Machine Translation in Turkic LanguagesCode1
Towards Making the Most of Multilingual Pretraining for Zero-Shot Neural Machine TranslationCode1
On the Complementarity between Pre-Training and Back-Translation for Neural Machine TranslationCode1
Learning Kernel-Smoothed Machine Translation with Retrieved ExamplesCode1
Non-Parametric Unsupervised Domain Adaptation for Neural Machine TranslationCode1
Evaluating Multiway Multilingual NMT in the Turkic LanguagesCode1
Improving Multilingual Translation by Representation and Gradient RegularizationCode1
Rethinking Zero-shot Neural Machine Translation: From a Perspective of Latent VariablesCode1
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine TranslationCode1
IndicBART: A Pre-trained Model for Indic Natural Language GenerationCode1
On Multi-Modal Learning of Editing Source CodeCode1
Sampling-Based Approximations to Minimum Bayes Risk Decoding for Neural Machine TranslationCode1
Continuous Language Generative FlowCode1
CommitBERT: Commit Message Generation Using Pre-Trained Programming Language ModelCode1
ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective FeedbackCode1
Modeling Bilingual Conversational Characteristics for Neural Chat TranslationCode1
Modelling Latent Translations for Cross-Lingual TransferCode1
On the Evaluation of Machine Translation for Terminology ConsistencyCode1
Revisiting the Weaknesses of Reinforcement Learning for Neural Machine TranslationCode1
Sequence-Level Training for Non-Autoregressive Neural Machine TranslationCode1
Self-Training Sampling with Monolingual Data Uncertainty for Neural Machine TranslationCode1
On Compositional Generalization of Neural Machine TranslationCode1
Fast Nearest Neighbor Machine TranslationCode1
CommitBERT: Commit Message Generation Using Pre-Trained Programming Language ModelCode1
Adaptive Nearest Neighbor Machine TranslationCode1
Selective Knowledge Distillation for Neural Machine TranslationCode1
Prevent the Language Model from being Overconfident in Neural Machine TranslationCode1
Neural Machine Translation with Monolingual Translation MemoryCode1
Understanding the Properties of Minimum Bayes Risk Decoding in Neural Machine TranslationCode1
Improving Lexically Constrained Neural Machine Translation with Source-Conditioned Masked Span PredictionCode1
Hidden Backdoors in Human-Centric Language ModelsCode1
Generating Lead Sheets with Affect: A Novel Conditional seq2seq FrameworkCode1
Shellcode_IA32: A Dataset for Automatic Shellcode GenerationCode1
Reward Optimization for Neural Machine Translation with Learned MetricsCode1
Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic LanguagesCode1
A Sketch-Based Neural Model for Generating Commit Messages from DiffsCode1
Document-level grammatical error correctionCode1
Meta-Curriculum Learning for Domain Adaptation in Neural Machine TranslationCode1
CURE: Code-Aware Neural Machine Translation for Automatic Program RepairCode1
Towards a Better Integration of Fuzzy Matches in Neural Machine Translation through Data AugmentationCode1
N-Bref : A High-fidelity Decompiler Exploiting Programming StructuresCode1
Learning Light-Weight Translation Models from Deep TransformerCode1
An Unsupervised method for OCR Post-Correction and Spelling Normalisation for FinnishCode1
PheMT: A Phenomenon-wise Dataset for Machine Translation Robustness on User-Generated ContentsCode1
Emergent Communication Pretraining for Few-Shot Machine TranslationCode1
The MUCOW word sense disambiguation test suite at WMT 2020Code1
Analyzing the Source and Target Contributions to Predictions in Neural Machine TranslationCode1
Human-Paraphrased References Improve Neural Machine TranslationCode1
On Long-Tailed Phenomena in Neural Machine TranslationCode1
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