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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 571–580 of 1773 papers

TitleStatusHype
Finding Sami Cognates with a Character-Based NMT Approach—0
Adaptation of Machine Translation Models with Back-translated Data using Transductive Data Selection Methods—0
Exploring Pair-Wise NMT for Indian Languages—0
Combination of Neural Machine Translation Systems at WMT20—0
A study of attention-based neural machine translation model on Indian languages—0
Exploring the traditional NMT model and Large Language Model for chat translation—0
Combining PBSMT and NMT Back-translated Data for Efficient NMT—0
Extend Adversarial Policy Against Neural Machine Translation via Unknown Token—0
Extract and Attend: Improving Entity Translation in Neural Machine Translation—0
Exploiting Neural Query Translation into Cross Lingual Information Retrieval—0
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