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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 771–780 of 1773 papers

TitleStatusHype
Incorporating Syntactic Uncertainty in Neural Machine Translation with a Forest-to-Sequence Model—0
Incorporating translation quality estimation into Chinese-Korean neural machine translation—0
Incorporating Word and Subword Units in Unsupervised Machine Translation Using Language Model Rescoring—0
Incorporating Word Reordering Knowledge into Attention-based Neural Machine Translation—0
Improved English to Hindi Multimodal Neural Machine Translation—0
Corpus Augmentation by Sentence Segmentation for Low-Resource Neural Machine Translation—0
Implicit Distortion and Fertility Models for Attention-based Encoder-Decoder NMT Model—0
Implications of Multi-Word Expressions on English to Bharti Braille Machine Translation—0
In-Domain African Languages Translation Using LLMs and Multi-armed Bandits—0
Corpora for Document-Level Neural Machine Translation—0
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