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公开(公告)号:US12001809B1
公开(公告)日:2024-06-04
申请号:US17530398
申请日:2021-11-18
Applicant: Amazon Technologies, Inc.
Inventor: Anna Currey , Dengke Liu , Aakash Upadhyay , Prashant Mathur , Georgiana Dinu , Eric J. Nowell
Abstract: Machine learning translation models may be selectively tuned to provide custom machine translations. A request to translate input text from an input language to a target language may be received. A tuning data set for translating the input text to the target language may be identified and searched to select pairs of texts in the tuning data according to comparisons with the input text. A machine learning model used to translate into the target language may be tuned using only second texts in the target language in the selected pairs of texts. The tuned machine learning model may then be used to translate the input text into the target language.
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公开(公告)号:US11769019B1
公开(公告)日:2023-09-26
申请号:US16953205
申请日:2020-11-19
Applicant: Amazon Technologies, Inc.
Inventor: Prashant Mathur , Georgiana Dinu , Anna Currey , Eric J. Nowell , Aakash Upadhyay , Haiyu Yao , Marcello Federico , Yaser Al-Onaizan , Rama Krishna Sandeep Pokkunuri , Jian Wang , Xianglong Huang
Abstract: A translation system receives examples of translations between a first language and a second language. In response to receiving request to translate a source text from the first language to the second language, the system ranks the examples based on the example's applicability to one or more portions of the source text. The system performs additional training of a neural network that was pre-trained to translate from the first language to the second language, where the additional training is based on one or more top-ranking examples. The system translates the source text to the second language using the additionally trained neural network.
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