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

摘要

The present disclosure discloses a method and apparatus for training a multilingual semantic representation model, an electronic device and a storage medium, and relates to the natural language processing field based on artificial intelligence. An implementation includes: training the multilingual semantic representation model 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; generating a corresponding mixed-language language material for each of the plurality of training language materials, the mixed-language language material including language materials in at least two languages; and training the multilingual semantic representation model 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. With the technical solution of the present disclosure, the multilingual semantic representation model may learn the semantic alignment information among different languages, and then, semantic interaction among different languages may be realized based on the multilingual semantic representation model, with quite high practicability.