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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 251–260 of 1773 papers

TitleStatusHype
Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages—0
Capturing document context inside sentence-level neural machine translation models with self-training—0
Categorizing Semantic Representations for Neural Machine Translation—0
Causal Transformers: Improving the Robustness on Spurious Correlations—0
Combining Word and Character Vector Representation on Neural Machine Translation—0
Beyond BLEU:Training Neural Machine Translation with Semantic Similarity—0
An Empirical Study of Document-to-document Neural Machine Translation—0
Combining the Best of Both Worlds: A Method for Hybrid NMT and LLM Translation—0
Better OOV Translation with Bilingual Terminology Mining—0
Addressing Troublesome Words in Neural Machine Translation—0
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