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人工智能论文:成对神经机器翻译评估(Pairwise Neural Machine Translation Evaluation)

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dabiao2008 发表于 2019-12-9 14:39:48 | 显示全部楼层 |阅读模式
dabiao2008 2019-12-9 14:39:48 274 0 显示全部楼层
人工智能论文:成对神经机器翻译评估(Pairwise Neural Machine Translation Evaluation)我们提出了一种在成对设置中使用神经网络进行机器翻译评估的新颖框架,该框架的目标是从给定参考翻译的一对假设中选择更好的翻译。在此框架中,参考文献和两个假设的词汇,句法和语义信息被压缩为相对较小的分布式矢量表示形式,并馈入一个多层神经网络,该网络对每个假设与参考文献之间以及两个假设之间的相互作用进行建模。这些紧凑的表示又基于词和句子的嵌入,这些词和句子的嵌入是使用神经网络学习的。框架是灵活的,可以进行有效的学习和分类,并且可以与人类相媲美,从而可以与最新技术相媲美。
We present a novel framework for machine translation evaluation using neuralnetworks in a pairwise setting, where the goal is to select the bettertranslation from a pair of hypotheses, given the reference translation.In thisframework, lexical, syntactic and semantic information from the reference andthe two hypotheses is compacted into relatively small distributed vectorrepresentations, and fed into a multi-layer neural network that models theinteraction between each of the hypotheses and the reference, as well asbetween the two hypotheses.These compact representations are in turn based onword and sentence embeddings, which are learned using neural networks.Theframework is flexible, allows for efficient learning and classification, andyields correlation with humans that rivals the state of the art.人工智能论文:成对神经机器翻译评估(Pairwise Neural Machine Translation Evaluation)
URL地址:https://arxiv.org/abs/1912.03135     ----pdf下载地址:https://arxiv.org/pdf/1912.03135    ----人工智能论文:成对神经机器翻译评估(Pairwise Neural Machine Translation Evaluation)
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