Word segmentation method based on artificial intelligence, server and storage medium

A server, comprising:

• one or more processors;
• and
• a memory configured to store one or more programs;
• wherein,
• when the one or more programs are executed by the one or more processors, the one or more processors are configured to execute the word segmentation method based on artificial intelligence, comprising:
• acquiring a corpus to be segmented and a segmentation model corresponding to a preset segmentation template;
• matching the corpus to be segmented with the segmentation model according to a preset matching algorithm, and acquiring a target phrase satisfying a first preset rule in the corpus to be segmented;
• modifying an emission matrix corresponding to the segmentation model and the corpus to be segmented according to the target phrase;
• and
• performing a word segmentation on the corpus to be segmented according to the emission matrix modified, to acquire a first segmentation result;
• wherein modifying the emission matrix corresponding to the segmentation model and the corpus to be segmented according to the target phrase comprises:
• acquiring the emission matrix corresponding to the segmentation model and the corpus to be segmented;
• determining a modifying parameter corresponding to a Chinese character in the target phrase;
• and
• modifying a weight corresponding to the Chinese character in the emission matrix according to the modifying parameter.

A non-transitory storage medium comprising computer executable instructions, wherein when the computer executable instructions are executed by a computer processor, the word segmentation method based on artificial intelligence, comprising:

• acquiring a corpus to be segmented and a segmentation model corresponding to a preset segmentation template;
• matching the corpus to be segmented with the segmentation model according to a preset matching algorithm, and acquiring a target phrase satisfying a first preset rule in the corpus to be segmented;
• modifying an emission matrix corresponding to the segmentation model and the corpus to be segmented according to the target phrase;
• and
• performing a word segmentation on the corpus to be segmented according to the emission matrix modified, to acquire a first segmentation result;
• wherein modifying the emission matrix corresponding to the segmentation model and the corpus to be segmented according to the target phrase comprises:
• acquiring the emission matrix corresponding to the segmentation model and the corpus to be segmented;
• determining a modifying parameter corresponding to a Chinese character in the target phrase;
• and
• modifying a weight corresponding to the Chinese character in the emission matrix according to the modifying parameter.