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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 461–470 of 1773 papers

TitleStatusHype
IndicBART: A Pre-trained Model for Indic Natural Language Generation—0
Causal Transformers: Improving the Robustness on Spurious Correlations—0
A Primer in NMTology: What we have understood about NMT—0
A Neural Approach to KGQA via SPARQL Silhouette Generation—0
Enhancing the Nonlinear Mutual Dependencies in Transformers with Mutual Information—0
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation—0
An Empirical Study of Document-to-document Neural Machine Translation—0
Cost-Effective Training in Low-Resource Neural Machine Translation—0
Quality-Aware Decoding for Neural Machine Translation—0
Research on the Evaluation of Token Imbalance Degree of NMT Corpus—0
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