Multilingual Collaborative Representation Dataset

The dataset is collected through multiple channels, including government open resources, ethnic cultural websites, and academic resources, ensuring the diversity and representativeness of the corpus.

After data collection, machine translation technology is used to generate preliminary bilingual data, and sentence pair alignment tools are employed to optimize the translation results, ensuring high-quality bilingual alignment data. Based on Chinese as a bridge language, the study further constructs a shared multilingual semantic space, which enhances the semantic consistency between different languages by incorporating Chinese semantic information such as synonyms, near-synonyms, and taxonomic relations.