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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 961–970 of 1773 papers

TitleStatusHype
FreeTransfer-X: Safe and Label-Free Cross-Lingual Transfer from Off-the-Shelf Models—0
Frequency-Aware Contrastive Learning for Neural Machine Translation—0
From Balustrades to Pierre Vinken: Looking for Syntax in Transformer Self-Attentions—0
From LLM to NMT: Advancing Low-Resource Machine Translation with Claude—0
Fusing Recency into Neural Machine Translation with an Inter-Sentence Gate Model—0
Future-Prediction-Based Model for Neural Machine Translation—0
GATE X-E : A Challenge Set for Gender-Fair Translations from Weakly-Gendered Languages—0
Gender Aware Spoken Language Translation Applied to English-Arabic—0
Gender Bias Amplification During Speed-Quality Optimization in Neural Machine Translation—0
Gender-specific Machine Translation with Large Language Models—0
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