Text processing method, model training method, device, and storage medium

A model training method, comprising:

• obtaining a plurality of first training samples and an initial model, the first training sample comprising:
• a text and a table corresponding to the text;
• converting the table into a sequence, the text and the sequence constituting a second training sample;
• and
• training the initial model with a plurality of second training samples corresponding to the plurality of first training samples to obtain a sequence-to-sequence model.

An electronic device, comprising:

• a processor;
• and
• a memory having a computer program stored thereon, wherein the processor is configured to invoke and execute the computer program stored in the memory to:
• obtain a source text;
• input the source text into a sequence-to-sequence model, to obtain a target sequence corresponding to the source text;
• and
• convert the target sequence into a target table.