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METHOD FOR TRAINING MULTILINGUAL SEMANTIC REPRESENTATION MODEL, DEVICE AND STORAGE MEDIUM

机译:培训多语言语义表示模型,设备和存储介质的方法

摘要

Technical solutions relate to the natural language processing field based on artificial intelligence. According to an embodiment, a multilingual semantic representation model is trained using a plurality of training language materials represented in a plurality of languages respectively, such that the multilingual semantic representation model learns the semantic representation capability of each language; a corresponding mixed-language language material is generated for each of the plurality of training language materials, and the mixed-language language material includes language materials in at least two languages; and the multilingual semantic representation model is trained using each mixed-language language material and the corresponding training language material, such that the multilingual semantic representation model learns semantic alignment information of different languages.
机译:基于人工智能的自然语言处理领域技术解决方案涉及自然语言处理领域。 根据一个实施例,使用分别以多种语言表示的多种训练语言材料训练多语言语言表示模型,使得多语言语义表示模型了解每种语言的语义表示能力; 对多个训练语言材料中的每一个生成相应的混合语言语言材料,并且混合语言语言材料包括至少两种语言的语言材料; 并且,使用每个混合语言语言材料和相应的培训语言材料训练多语言语义表示模型,使得多语言语义表示模型学习不同语言的语义对齐信息。

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