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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 151–175 of 1773 papers

TitleStatusHype
ChrEnTranslate: Cherokee-English Machine Translation Demo with Quality Estimation and Corrective FeedbackCode1
CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine TranslationCode1
Asynchronous Bidirectional Decoding for Neural Machine TranslationCode1
CoCoNuT: Combining Context-Aware Neural Translation Models using Ensemble for Program RepairCode1
Low Resource Neural Machine Translation: A Benchmark for Five African LanguagesCode1
Low-Resource Neural Machine Translation: A Case Study of CantoneseCode1
MT-LENS: An all-in-one Toolkit for Better Machine Translation EvaluationCode1
A Template-based Method for Constrained Neural Machine TranslationCode1
Reusing a Pretrained Language Model on Languages with Limited Corpora for Unsupervised NMTCode1
N-Bref : A High-fidelity Decompiler Exploiting Programming StructuresCode1
ConsistTL: Modeling Consistency in Transfer Learning for Low-Resource Neural Machine TranslationCode1
Neural Machine Translating from Natural Language to SPARQLCode1
Neural Machine Translation System of Indic Languages -- An Attention based ApproachCode1
Context-Aware Monolingual Repair for Neural Machine TranslationCode1
Neural Machine Translation with Joint RepresentationCode1
Faithful Target Attribute Prediction in Neural Machine TranslationCode0
AFRIDOC-MT: Document-level MT Corpus for African LanguagesCode0
Exploring Unsupervised Pretraining Objectives for Machine TranslationCode0
A Classification-Guided Approach for Adversarial Attacks against Neural Machine TranslationCode0
Factored Neural Machine TranslationCode0
FGraDA: A Dataset and Benchmark for Fine-Grained Domain Adaptation in Machine TranslationCode0
Exploiting Social Media Content for Self-Supervised Style TransferCode0
Active Learning for Neural Machine TranslationCode0
Exploring Paracrawl for Document-level Neural Machine TranslationCode0
Incorporating Chinese Radicals Into Neural Machine Translation: Deeper Than Character LevelCode0
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