US 12,265,782 B2
Transformer model architecture for readability
Jing Wang, Atlanta, GA (US); John Matthew Mastin, Atlanta, GA (US); Sowmyanka Andalam, Cumming, GA (US); Piyasa Molly Paul, Decatur, GA (US); Dallas Leigh Taylor, Atlanta, GA (US); and Andres Castro, Atlanta, GA (US)
Assigned to Intuit Inc., Mountain View, CA (US)
Filed by Intuit Inc., Mountain View, CA (US)
Filed on Nov. 30, 2023, as Appl. No. 18/525,763.
Application 18/525,763 is a continuation of application No. 18/104,258, filed on Jan. 31, 2023, granted, now 11,886,800.
Prior Publication US 2024/0256759 A1, Aug. 1, 2024
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 40/151 (2020.01); G06F 40/166 (2020.01); G06F 40/253 (2020.01); G06F 40/284 (2020.01)
CPC G06F 40/151 (2020.01) [G06F 40/166 (2020.01); G06F 40/253 (2020.01); G06F 40/284 (2020.01)] 20 Claims
OG exemplary drawing
 
1. A method comprising:
detecting, in a written electronic communication, a first input sentence satisfying a readability metric threshold;
transforming, by a sentence transformer model, the first input sentence to output a plurality of suggested sentences;
evaluating the plurality of suggested sentences along a set of acceptability criteria;
determining, based on the evaluating, that the set of acceptability criteria is satisfied;
modifying, based on determining that the set of acceptability criteria is satisfied, the written electronic communication with the plurality of suggested sentences to obtain a modified written electronic communication; and
returning the modified written electronic communication.