The application discloses a multilingual neural
machine translation system using language family information, which is constructed based on a
Transformer basic model, and a language family information module is added after each self-attention mechanism module and a
feedforward neural network module in the
Transformer basic model; the language family information module inputs language family information and the output of a preceding module, and outputs a vector after the language family information is fused. The application further provides a multilingual neural
machine translation method using language family information. The multilingual neural
machine translation system using language family information provided by the application alleviates the performance decline problem of large-scale multilingual
machine translation on high-resource languages, and further improves the translation performance on low-resource languages.