A human-machine conversation method and apparatus, a computer device, and a readable storage medium, relating to the technical field of human-machine conversation. The method comprises: after obtaining the first language input statement of the current conversation round, translating the first language input statement into a second language input statement according to the first language conversation content and the second language conversation content of a historical conversation round; then a second language-based multi-round conversation generation model parsing, according to the second language conversation content, the second language input statement to generate a second language output statement; according to the first language conversation content, the second language conversation content, the first language input statement, and the second language input statement, translating the second language output statement; and finally determining the first language output statement of the current conversation round and outputting same. Therefore, the present application achieves multiple rounds of human-machine conversations of a low-resource language by invoking a multi-round conversation generation model of a high-resource language, and improves the expression engagement fitting degree of the multiple rounds of human-machine conversations of the low-resource language in the semantic and context aspects.
HUMAN-MACHINE CONVERSATION METHOD AND APPARATUS, COMPUTER DEVICE, AND READABLE STORAGE MEDIUM