Length-controlled text generation using a text processing model

A computerized method comprising:

• receiving input text data;
• obtaining a sentence count;
• generating model output text data with a text processing model using the input text data and the obtained sentence count as input data;
• removing a sentence count label and a sentence number label from the generated model output text data to form unlabeled model output text data;
• and
• providing the unlabeled model output text data in response to the received input text data.

One or more computer storage media having computer-executable instructions that, upon execution by a processor, cause the processor to at least:

• obtain a training data entry including input text data and associated output text data;
• determine a token count of the output text data;
• generate, by an input embedding layer of a text processing model, an input embedding using the input text data as input data;
• generate, by a position embedding layer, an output position embedding using the determined token count and reversed position values of tokens in the output text data;
• combine the generated input embedding with the generated output position embedding into a combined output encoding;
• generate, by an encoder layer and a decoder layer of the text processing model, model output text data using the combined output encoding as input data;
• determine loss data associated with a difference between the generated model output text data and the output text data;
• and
• adjust the text processing model, including the position embedding layer, using the determined loss data, whereby the text processing model is fine-tuned using the obtained training data entry.