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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 51–60 of 1773 papers

TitleStatusHype
Linguistically-driven Multi-task Pre-training for Low-resource Neural Machine TranslationCode1
A Large-Scale Study of Machine Translation in Turkic LanguagesCode1
Towards Making the Most of Multilingual Pretraining for Zero-Shot Neural Machine TranslationCode1
On the Complementarity between Pre-Training and Back-Translation for Neural Machine TranslationCode1
Learning Kernel-Smoothed Machine Translation with Retrieved ExamplesCode1
Non-Parametric Unsupervised Domain Adaptation for Neural Machine TranslationCode1
Evaluating Multiway Multilingual NMT in the Turkic LanguagesCode1
Rethinking Zero-shot Neural Machine Translation: From a Perspective of Latent VariablesCode1
Improving Multilingual Translation by Representation and Gradient RegularizationCode1
BERT, mBERT, or BiBERT? A Study on Contextualized Embeddings for Neural Machine TranslationCode1
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