The invention provides a new word recognition method and device based on a BERT pre-training model, and relates to the technical field of new word mining, and the method comprises the steps of: obtaining corpus information, and carrying out word segmentation processing on the corpus information through an N-Gram word segmentation algorithm to obtain a plurality of new words; inputting the new words into a shallow network of a BERT pre-training model, and outputting shallow dense vectors, wherein a bidirectional self-attention network is introduced into the BERT pre-training model, the shallow dense vectors comprise syntactic feature vectors and lexical feature vectors of the new words, and the shallow dense vectors are used for recognizing boundary information of the new words; extracting discrete features of the new words; and inputting the shallow dense vectors and the discrete features into a DNN dichotomy model, identifying correct new words, determining boundaries of the words through a shallow network of the BERT pre-training model, and further accurately identifying correct new words.
New word recognition method and device based on BERT pre-training model