A transformer model-based method for translating multilingual place name root into Chinese, the range of languages covered being English, French, and German: recognizing, on the basis of a place name language knowledge base and in combination with language features of a place name to be translated into Chinese, the language of said place name and selecting a corresponding place name root extraction rule in a place name root extraction rule library to extract the root of said place name; transforming the extracted place name root text into a character vector via a character embedding model; inputting, on the basis of a transformer model produced by training and finetuning with English, French, and German place name roots and corresponding place name root Chinese translation corpora, the character vector of the root of said place name, and acquiring a final Chinese translation result of the root. The Chinese translation results of English, French, and German place name roots provide improved readability, comply with Chinese reading habits, satisfy to a certain extent demands for Chinese translations of multilingual place name roots, and provide excellent flexibility and universality.
TRANSFORMER DEEP LEARNING MODEL-BASED METHOD FOR TRANSLATING MULTILINGUAL PLACE NAME ROOT INTO CHINESE