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BLEU

Known as: Bilingual evaluation understudy, Bleu score 
BLEU (bilingual evaluation understudy) is an algorithm for evaluating the quality of text which has been machine-translated from one natural language… Expand
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Papers overview

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Highly Cited
2018
Highly Cited
2018
The field of machine translation is blessed with new challenges resulting from the regular production of fresh test sets in… Expand
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Highly Cited
2017
Highly Cited
2017
The dominant sequence transduction models are based on complex recurrent or convolutional neural networks in an encoder-decoder… Expand
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Highly Cited
2015
Highly Cited
2015
An attentional mechanism has lately been used to improve neural machine translation (NMT) by selectively focusing on parts of the… Expand
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Highly Cited
2015
Highly Cited
2015
Automatically describing the content of an image is a fundamental problem in artificial intelligence that connects computer… Expand
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Highly Cited
2014
Highly Cited
2014
Deep Neural Networks (DNNs) are powerful models that have achieved excellent performance on difficult learning tasks. Although… Expand
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Highly Cited
2014
Highly Cited
2014
In this paper, we propose a novel neural network model called RNN Encoder‐ Decoder that consists of two recurrent neural networks… Expand
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Highly Cited
2014
Highly Cited
2014
BLEU is the de facto standard machine translation (MT) evaluation metric. How- ever, because BLEU computes a geo- metric mean of… Expand
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Highly Cited
2006
Highly Cited
2006
We argue that the machine translation community is overly reliant on the Bleu machine translation evaluation metric. We show that… Expand
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Highly Cited
2004
Highly Cited
2004
Automatic evaluation metrics for Machine Translation (MT) systems, such as BLEU and the related NIST metric, are becoming… Expand
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Highly Cited
2002
Highly Cited
2002
Human evaluations of machine translation are extensive but expensive. Human evaluations can take months to finish and involve… Expand
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