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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 581–590 of 1773 papers

TitleStatusHype
Cost-Effective Training in Low-Resource Neural Machine Translation—0
IndicBART: A Pre-trained Model for Indic Natural Language Generation—0
What Works and Doesn't Work, A Deep Decoder for Neural Machine Translation—0
Generating Authentic Adversarial Examples beyond Meaning-preserving with Doubly Round-trip Translation—0
Integrating Vectorized Lexical Constraints for Neural Machine Translation—0
Research on the Evaluation of Token Imbalance Degree of NMT Corpus—0
Clause Attention based on Signal Words Division—0
Enhancing the Nonlinear Mutual Dependencies in Transformers with Mutual Information—0
Sign Language Translation with Hierarchical Spatio-TemporalGraph Neural Network—0
BitextEdit: Automatic Bitext Editing for Improved Low-Resource Machine Translation—0
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