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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 691–700 of 1773 papers

TitleStatusHype
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
Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic LanguagesCode1
Sentiment-based Candidate Selection for NMTCode0
A Sketch-Based Neural Model for Generating Commit Messages from DiffsCode1
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
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