Abstract: A pre-training language model-based summarization generation method, including: acquiring text information of a summarization to be generated, and performing multi-feature weighted language pre-training processing on the text information to obtain a candidate summarization; inputting the candidate summarization into a pre-training language model to obtain output data of the pre-training language model; and inputting the output data of the pre-training language model into a decoder model to obtain a target summarization. The pre-training processing is performed on the text information of the summarization to be generated, and then the target summarization can be generated after processing performed by an encoder and a decoder, improving the quality and readability of the summarization.