AUTOMATIC POST-EDITING MODEL FOR NEURAL MACHINE TRANSLATION

Patent №

US 11,295,092

Granted

2022-04-05

Filed 2019

Owner

GOOGLE LLC

AI components

5

ml · nlp · vision · speech · hardware

Assignment

Recorded

Dataset

AIPD

2023_r1 edition

Application

16511806

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.

Machine learningNatural languageVisionSpeechAI hardwareG06F 40/51G06F 40/166G06F 40/253G06F 40/58G10L 13/00

AI classification

Machine learning1.00
Natural language1.00
Speech1.00
AI hardware0.99
Vision0.92
Knowledge representation0.40
Evolutionary computation0.01
Planning0.00

Ownership

GOOGLE LLC

assignment · 497550169

Assignors

FREITAG, MARKUS, CASWELL, ISAAC, ROY, HOWARD SCOTT

On an employer assignment, the assignors are typically the inventors.

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