US 12,242,819 B1
Systems and methods of automatic post-editing of machine translated content
Mihai Vlad, London (GB); Dragos Stefan Munteanu, Los Angeles, CA (US); Bartlomiej Czeslaw Maczynski, Silver Spring, MD (US); Jingyi Han, Barcelona (ES); Ovidiu Petridean, Cluj-Napoca (RO); and Arnaud Simon, Givry (FR)
Assigned to SDL Inc., Wakefield, MA (US)
Filed by SDL Inc., Wakefield, MA (US)
Filed on Apr. 12, 2024, as Appl. No. 18/634,731.
Application 18/634,731 is a continuation of application No. 18/373,938, filed on Sep. 27, 2023, granted, now 11,995,414.
Claims priority of provisional application 63/534,971, filed on Aug. 28, 2023.
This patent is subject to a terminal disclaimer.
Int. Cl. G06F 40/56 (2020.01); G06F 40/30 (2020.01); G06F 40/58 (2020.01)
CPC G06F 40/56 (2020.01) [G06F 40/30 (2020.01); G06F 40/58 (2020.01)] 21 Claims
OG exemplary drawing
 
1. A method for automated post-editing of machine translated content, the method comprising:
presenting machine translated segments of a document and associated quality estimation scores for each of the machine translated segments;
invoking an automated post-editing system for machine translated segments with unsatisfactory quality estimation scores;
inputting the machine translated segments with unsatisfactory quality estimation scores into a generative AI model, the generative AI model using contextual information for the document;
producing a revised translation of a machine translated segment using the generative AI model; and
iterating with the generative AI model with varying input until:
(a) a quality estimation score of the machine translated segment meets or exceeds a quality estimation score threshold; or,
(b) a predetermined number of attempts are reached.