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Neural machine translation model training methods, devices and storage media

机译:神经机器翻译模型训练方法,设备和存储介质

摘要

PROBLEM TO BE SOLVED: To provide a training method, an apparatus and a storage medium for a neural machine translation model. SOLUTION: A training method, an apparatus and a storage medium of a neural machine translation model according to an embodiment of the present invention have obtained a predicted sentence of a source sentence translated by using the trained neural machine translation model. The original neural by synthesizing a new parallel corpus based on the degree of N-gram matching between the predicted sentence and the target sentence and training the neural machine translation model with the original corpus and the added new corpus. The features of the poorly trained part of the machine translation model are enhanced, and the translation performance of the finally trained neural machine translation model is improved. [Selection diagram] Fig. 1
机译:要解决的问题:提供用于神经机器翻译模型的训练方法,设备和存储介质。解决方案:根据本发明的实施例的神经机器翻译模型的训练方法,设备和存储介质已经通过使用训练的神经机器翻译模型获得了翻译的源语句的预测语句。通过基于预测句子和目标句子之间的N-gram匹配程度合成新的并行语料库,并使用原始语料库和添加的新语料库训练神经机器翻译模型,从而生成原始神经元。增强了机器翻译模型训练不足的部分的功能,提高了最终训练的神经机器翻译模型的翻译性能。 [选择图]图1

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