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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 231–240 of 1773 papers

TitleStatusHype
Exploring Recombination for Efficient Decoding of Neural Machine TranslationCode0
Exploiting Out-of-Domain Parallel Data through Multilingual Transfer Learning for Low-Resource Neural Machine TranslationCode0
Exploiting Social Media Content for Self-Supervised Style TransferCode0
Exploring Unsupervised Pretraining Objectives for Machine TranslationCode0
Integrating Weakly Supervised Word Sense Disambiguation into Neural Machine TranslationCode0
Interrogating the Explanatory Power of Attention in Neural Machine TranslationCode0
Finding Memo: Extractive Memorization in Constrained Sequence Generation TasksCode0
Gender Lost In Translation: How Bridging The Gap Between Languages Affects Gender Bias in Zero-Shot Multilingual TranslationCode0
Learning to Parse and Translate Improves Neural Machine TranslationCode0
Enhancing Neural Machine Translation with Semantic UnitsCode0
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