In Chinese spelling correction tasks,the distance information and order information of characters in the text is impor-tant feature,so the position encoding is crucial.The traditional position encoding cannot distinguish the forward and backward connection of characters,and the error propagation problem exists in the error correction scheme of the two-stage approach.To address the above problems,a Chinese spelling error correction method with fused positional coding under multi-task learning was proposed,in which fusion position encoding was used to provide better positional information for the model,and a multi-task learning mechanism was used to alleviate the error propagation problem and improve the model generalization ability.Experi-ments were conducted for the public dataset.Experimental results show a stable improvement in the F1 value,which verifies the effectiveness of the proposed method.
关键词
中文拼写纠错/距离信息/顺序信息/位置编码/错误传播/融合位置编码/多任务学习
Key words
Chinese spelling error correction/distance information/order information/position encoding/error propagation/fu-sion position encoding/multi-task learning
维普
万方数据