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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 561–570 of 1773 papers

TitleStatusHype
Filtering Back-Translated Data in Unsupervised Neural Machine Translation—0
Finding Sami Cognates with a Character-Based NMT Approach—0
Fine Grained Human Evaluation for English-to-Chinese Machine Translation: A Case Study on Scientific Text—0
Combination of Neural Machine Translation Systems at WMT20—0
Collective Wisdom: Improving Low-resource Neural Machine Translation using Adaptive Knowledge Distillation—0
Assessing the Tolerance of Neural Machine Translation Systems Against Speech Recognition Errors—0
Exploiting Sentential Context for Neural Machine Translation—0
A Comparative Quality Evaluation of PBSMT and NMT using Professional Translators—0
Adaptation of Machine Translation Models with Back-translated Data using Transductive Data Selection Methods—0
Exploiting Neural Query Translation into Cross Lingual Information Retrieval—0
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