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TRANSLATION MODEL TRAINING METHOD, SENTENCE TRANSLATION METHOD AND APPARATUS, AND STORAGE MEDIUM

机译:翻译模型训练方法,句子翻译方法和装置和存储介质

摘要

Embodiments of the present application disclose a translation model training method, a sentence translation method and apparatus, and a storage medium. The translation model training method comprises: a computer apparatus acquiring a training sample set, wherein the training sample set comprises multiple training samples; the computer apparatus determining disturbance sample sets respectively corresponding to the multiple training samples in the training sample set, wherein the disturbance sample set comprises at least one disturbance sample, and a semantic similarity between the disturbance sample and the corresponding training sample is higher than a first preset value; and the computer apparatus using the multiple training samples and the disturbance sample sets respectively corresponding to the multiple training samples to train an initial translation model so as to acquire a target translation model. In the solution provided by the embodiments of the present application, disturbance samples are introduced in model training, thereby improving the robustness of machine translation and the translation quality.
机译:本申请的实施例公开了一种翻译模型训练方法,句子翻译方法和装置和存储介质。翻译模型训练方法包括:一种获取训练采样集的计算机装置,其中训练样本集包括多个训练样本;确定分别对应于训练样品组中的多个训练样本的干扰样本的计算机装置,其中干扰样品组包括至少一个干扰样本,干扰样本和相应的训练样本之间的语义相似性高于第一预设值;和使用多个训练样本的计算机装置和扰动样本分别对应于多个训练样本来训练初始翻译模型,以便获取目标翻译模型。在本申请实施例提供的解决方案中,在模型训练中引入了干扰样本,从而提高了机器平移和翻译质量的鲁棒性。

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