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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 851–860 of 1773 papers

TitleStatusHype
Evaluating the usefulness of neural machine translation for the Polish translators in the European Commission—0
Fine-Tuning MT systems for Robustness to Second-Language Speaker VariationsCode0
Active Learning Approaches to Enhancing Neural Machine Translation—0
Vocabulary Adaptation for Domain Adaptation in Neural Machine TranslationCode0
Factorized Transformer for Multi-Domain Neural Machine Translation—0
A Semi-supervised Approach to Generate the Code-Mixed Text using Pre-trained Encoder and Transfer Learning—0
Sparse and Decorrelated Representations for Stable Zero-shot NMT—0
Effectively pretraining a speech translation decoder with Machine Translation data—0
CSP:Code-Switching Pre-training for Neural Machine Translation—0
Towards Enhancing Faithfulness for Neural Machine Translation—0
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