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In the test, It is found that the word segmentation effect is poor in scenes containing English words,the test case is “openjdk,springboot框架”,The correct expected word segmentation result is “openjdk , springboot 框架”,but the actual word segmentation result is “o p e n j d k , s p r i n g b o o t 框架”,each character of the word is separated by a space.This can have very bad consequences in information retrieval tasks,is there any way to solve this problem?
The text was updated successfully, but these errors were encountered:
In the test, It is found that the word segmentation effect is poor in scenes containing English words,the test case is “openjdk,springboot框架”,The correct expected word segmentation result is “openjdk , springboot 框架”,but the actual word segmentation result is “o p e n j d k , s p r i n g b o o t 框架”,each character of the word is separated by a space.This can have very bad consequences in information retrieval tasks,is there any way to solve this problem?
The text was updated successfully, but these errors were encountered: