- Patent Title: Automatic post-editing model for generated natural language text
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Application No.: US17700123Application Date: 2022-03-21
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Publication No.: US12039286B2Publication Date: 2024-07-16
- Inventor: Markus Freitag , Isaac Caswell , Howard Scott Roy
- Applicant: GOOGLE LLC
- Applicant Address: US CA Mountain View
- Assignee: GOOGLE LLC
- Current Assignee: GOOGLE LLC
- Current Assignee Address: US CA Mountain View
- Agency: Gray Ice Higdon
- Main IPC: G06F40/51
- IPC: G06F40/51 ; G06F40/166 ; G06F40/253 ; G06F40/58 ; G10L13/00

Abstract:
Techniques are disclosed for training and/or utilizing an automatic post-editing model in correcting translation error(s) introduced by a neural machine translation model. The automatic post-editing model can be trained using automatically generated training instances. A training instance is automatically generated by processing text in a first language using a neural machine translation model to generate text in a second language. The text in the second language is processed using a neural machine translation model to generate training text in the first language. A training instance can include the text in the first language as well as the training text in the first language.
Public/Granted literature
- US20220215183A1 AUTOMATIC POST-EDITING MODEL FOR NEURAL MACHINE TRANSLATION Public/Granted day:2022-07-07
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