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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 651–675 of 1773 papers

TitleStatusHype
Exploiting Monolingual Data at Scale for Neural Machine Translation—0
A Multi-task Multi-stage Transitional Training Framework for Neural Chat Translation—0
Exploiting Linguistic Resources for Neural Machine Translation Using Multi-task Learning—0
GraphSeq2Seq: Graph-Sequence-to-Sequence for Neural Machine Translation—0
CODET: A Benchmark for Contrastive Dialectal Evaluation of Machine Translation—0
Attention based Sequence to Sequence Learning for Machine Translation of Low Resourced Indic Languages -- A case of Sanskrit to Hindi—0
Adaptive Knowledge Sharing in Multi-Task Learning: Improving Low-Resource Neural Machine Translation—0
Guider l'attention dans les modeles de sequence a sequence pour la prediction des actes de dialogue—0
Context-Aware Smoothing for Neural Machine Translation—0
Guiding Neural Machine Translation with Retrieved Translation Pieces—0
Hallucinations in Neural Machine Translation—0
Hallucinations in neural machine translation—0
Handling Homographs in Neural Machine Translation—0
Analysing concatenation approaches to document-level NMT in two different domains—0
Hard but Robust, Easy but Sensitive: How Encoder and Decoder Perform in Neural Machine Translation—0
Context in Neural Machine Translation: A Review of Models and Evaluations—0
HausaMT v1.0: Towards English-Hausa Neural Machine Translation—0
Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models—0
Heterogeneous Recycle Generation for Chinese Grammatical Error Correction—0
Attention Link: An Efficient Attention-Based Low Resource Machine Translation Architecture—0
Exploiting Language Relatedness in Machine Translation Through Domain Adaptation Techniques—0
Exploiting Domain-Specific Parallel Data on Multilingual Language Models for Low-resource Language Translation—0
Hierarchical Modeling of Global Context for Document-Level Neural Machine Translation—0
Hierarchical Sequence to Sequence Voice Conversion with Limited Data—0
Code-Switching with Word Senses for Pretraining in Neural Machine Translation—0
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