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公开(公告)号：US11645474B2
公开(公告)日：2023-05-09
申请号：US17133673
申请日：2020-12-24
Applicant: UBTECH ROBOTICS CORP LTD
Inventor： Zhongfa Feng , Dongyan Huang , Youjun Xiong
Abstract: A computer-implemented method for text conversion, a computer device, and a non-transitory computer readable storage medium are provided. The method includes: obtaining a text to be converted; performing a non-standard word recognition on the text to be converted, to determine whether the text to be converted includes a non-standard word; recognizing the non-standard word in the text to be converted by using an eXtreme Gradient Boosting model in response to the text to be converted including the non-standard word; and obtaining a target converted text corresponding to the text to be converted, according to a recognition result outputted by the eXtreme Gradient Boosting model. The method has a faster recognition speed and a higher recognition accuracy compared with the deep learning model.
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公开(公告)号：US20210200962A1
公开(公告)日：2021-07-01
申请号：US17133673
申请日：2020-12-24
Applicant: UBTECH ROBOTICS CORP LTD
Inventor： Zhongfa Feng , Dongyan Huang , Youjun Xiong
IPC: G06F40/40
Abstract: A computer-implemented method for text conversion, a computer device, and a non-transitory computer readable storage medium are provided. The method includes: obtaining a text to be converted; performing a non-standard word recognition on the text to be converted, to determine whether the text to be converted includes a non-standard word; recognizing the non-standard word in the text to be converted by using an eXtreme Gradient Boosting model in response to the text to be converted including the non-standard word; and obtaining a target converted text corresponding to the text to be converted, according to a recognition result outputted by the eXtreme Gradient Boosting model. The method has a faster recognition speed and a higher recognition accuracy compared with the deep learning model.
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