 which can be abbreviated as PTM-CWS. PTM-CWS model employs a unified architecture for different segmentation criteria, and is pre-trained on a joint multi-criteria corpus with meta learning algorithm  . Empirical results show that our PTM-CWS model can utilize the existing prior segmentation knowledge , reduce the discrepancy between the pre-training tasks and the downstream Chinese Word Segmentation tasks, and achieve new state-of-the-art performance on twelve Chinese Word Segmentation corpora .
<clarity>  which can be abbreviated as PTM-CWS. PTM-CWS model employs a unified architecture for different segmentation criteria, and is pre-trained on a joint multi-criteria corpus with meta learning algorithm  . Empirical results show that our PTM-CWS model can utilize the existing prior segmentation knowledge , reduce the discrepancy between the pre-training tasks and the downstream Chinese Word Segmentation tasks, and achieve new state-of-the-art performance on twelve Chinese Word Segmentation corpora .
 which can be abbreviated as PTM-CWS. PTM-CWS model employs a unified architecture and incorporates meta learning algorithm . Empirical results show that our PTM-CWS model can utilize the existing prior segmentation knowledge , reduce the discrepancy between the pre-training tasks and the downstream Chinese Word Segmentation tasks, and achieve new state-of-the-art performance on twelve Chinese Word Segmentation corpora .