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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 771–780 of 1773 papers

TitleStatusHype
First the worst: Finding better gender translations during beam searchCode0
Sometimes We Want Translationese—0
Domain Adaptation and Multi-Domain Adaptation for Neural Machine Translation: A Survey—0
The Curious Case of Hallucinations in Neural Machine TranslationCode0
Source and Target Bidirectional Knowledge Distillation for End-to-end Speech Translation—0
Sentiment-based Candidate Selection for NMTCode0
Better Neural Machine Translation by Extracting Linguistic Information from BERTCode0
Attention Forcing for Machine TranslationCode0
Efficient Unsupervised NMT for Related Languages with Cross-Lingual Language Models and Fidelity Objectives—0
MUCS@ - Machine Translation for Dravidian Languages using Stacked Long Short Term Memory—0
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