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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 1091–1100 of 1773 papers

TitleStatusHype
Using Interlinear Glosses as Pivot in Low-Resource Multilingual Machine Translation—0
Training Neural Machine Translation (NMT) Models using Tensor Train Decomposition on TensorFlow (T3F)—0
Data Diversification: A Simple Strategy For Neural Machine TranslationCode1
On Compositionality in Neural Machine Translation—0
Domain Adaptation of Document-Level NMT in IWSLT19—0
Efficient Bilingual Generalization from Neural Transduction Grammar Induction—0
OPPO NMT System for IWSLT 2019—0
CMU’s Machine Translation System for IWSLT 2019—0
ESPnet How2 Speech Translation System for IWSLT 2019: Pre-training, Knowledge Distillation, and Going Deeper—0
Lexical Micro-adaptation for Neural Machine Translation—0
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