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公开(公告)号：US11328133B2
公开(公告)日：2022-05-10
申请号：US16585269
申请日：2019-09-27
Inventor： Hao Xiong , Zhongjun He , Xiaoguang Hu , Hua Wu , Zhi Li , Zhou Xin , Tian Wu , Haifeng Wang
Abstract: The present disclosure provides a translation processing method, a translation processing device, and a device. The first speech signal of the first language is obtained, and the speech feature vector of the first speech signal is extracted based on the preset algorithm. Further, the speech feature vector is input into the pre-trained end-to-end translation model for conversion from the first language speech to the second language text for processing, and the text information of the second language corresponding to the first speech signal is obtained. Moreover, speech synthesis is performed on the text information of the second language, and the corresponding second speech signal is obtained and played.
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公开(公告)号：US11132518B2
公开(公告)日：2021-09-28
申请号：US16691111
申请日：2019-11-21
Inventor： Chuanqiang Zhang , Tianchi Bi , Hao Xiong , Zhi Li , Zhongjun He , Haifeng Wang
Abstract: A method and apparatus for translating speech are provided. The method may include: recognizing received to-be-recognized speech of a source language to obtain a recognized text; concatenating the obtained recognized text after a to-be-translated text, to form a concatenated to-be-translated text; inputting the concatenated to-be-translated text into a pre-trained discriminant model to obtain a discrimination result for characterizing whether the concatenated to-be-translated text is to be translated, where the discriminant model is used to characterize a corresponding relationship between a text and a discrimination result corresponding to the text; in response to the positive discrimination result being obtained, translating the concatenated to-be-translated text to obtain a translation result of a target language, and outputting the translation result.
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公开(公告)号：US11275904B2
公开(公告)日：2022-03-15
申请号：US16868426
申请日：2020-05-06
Inventor： Ruiqing Zhang , Chuanqiang Zhang , Hao Xiong , Zhongjun He , Hua Wu , Zhi Li , Haifeng Wang
Abstract: Embodiments of the present disclosure provide a method and an apparatus for translating a polysemy, and a medium. The method includes: obtaining a source language text; identifying and obtaining the polysemy from the source language text; inquiring related words corresponding to each interpretation of the polysemy; determining a target interpretation corresponding to the related words contained in the source language text; and translating the polysemy into the target interpretation.
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Patent Agency Ranking
公开(公告)号：US11574135B2
公开(公告)日：2023-02-07
申请号：US16861750
申请日：2020-04-29
Inventor： Haifeng Wang , Hua Wu , Zhongjun He , Hao Xiong
Abstract: The present disclosure provides a method, apparatus, electronic device and readable storage medium for translation and relates to translation technologies. In the embodiments of the present disclosure, the at least one knowledge element is obtained according to associated information of content to be translated, and respective knowledge element in the at least one knowledge element comprise an element of the first language type and an element of the second language type so that the at least one knowledge element can be used to obtain a translation result of the content to be translated. Since the at least one knowledge element obtained in advance is taken as global information of the translation task of this time, it can be ensured that the translation result of the same content to be translated is consistent, thereby improving the quality of the translation result.
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5.发明授权公开(公告)号：US11182648B2
公开(公告)日：2021-11-23
申请号：US16901940
申请日：2020-06-15
Inventor： Hao Xiong , Zhongjun He , Zhi Li , Hua Wu , Haifeng Wang
IPC: G06K9/62 , G06F40/117 , G06N20/00
Abstract: The present disclosure provides an end-to-end model training method and apparatus, which relates to a field of artificial intelligence technologies. The method includes: obtaining training data containing a plurality of training samples, in which the plurality of training samples include an original sequence, a target sequence and a corresponding tag list, the tag list includes importance tags in the target sequence and avoidance tags corresponding to the importance tags, and the avoidance tags are irrelevant tags corresponding to the importance tags; and adopting the training data to train a preset end-to-end model until a value of a preset optimization target function is smaller than a preset threshold.
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公开(公告)号：US20210192151A1
公开(公告)日：2021-06-24
申请号：US16861750
申请日：2020-04-29
Inventor： Haifeng WANG , Hua Wu , Zhongjun He , Hao Xiong
Abstract: The present disclosure provides a method, apparatus, electronic device and readable storage medium for translation and relates to translation technologies. In the embodiments of the present disclosure, the at least one knowledge element is obtained according to associated information of content to be translated, and respective knowledge element in the at least one knowledge element comprise an element of the first language type and an element of the second language type so that the at least one knowledge element can be used to obtain a translation result of the content to be translated. Since the at least one knowledge element obtained in advance is taken as global information of the translation task of this time, it can be ensured that the translation result of the same content to be translated is consistent, thereby improving the quality of the translation result.
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公开(公告)号：US11409968B2
公开(公告)日：2022-08-09
申请号：US16926197
申请日：2020-07-10
Inventor： Ruiqing Zhang , Chuanqiang Zhang , Hao Xiong , Zhongjun He , Hua Wu , Haifeng Wang
IPC: G06F40/55 , G06F40/211 , G06F40/58
Abstract: Embodiments of the present disclosure provide a language conversion method and apparatus based on syntactic linearity and a non-transitory computer-readable storage medium. The method includes: encoding a source sentence to be converted by using a preset encoder to determine a first vector and a second vector corresponding to the source sentence; determining a current mask vector according to a preset rule, in which the mask vector is configured to modify vectors output by the preset encoder; determining a third vector according to target language characters corresponding to source characters located before a first source character; and decoding the first vector, the second vector, the mask vector, and the third vector by using a preset decoder to generate a target character corresponding to the first source character.
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公开(公告)号：US11314946B2
公开(公告)日：2022-04-26
申请号：US16701382
申请日：2019-12-03
Inventor： Hao Xiong , Zhongjun He , Zhi Li , Zhou Xin , Haifeng Wang
Abstract: Embodiments of the present disclosure disclose a text translation method, a text translation apparatus, a device and a storage medium. The method includes: obtaining a source language text; and translating the source language text with a modified translation model to obtain a target language text corresponding to the source language text, the modified translation model being obtained by modifying an original translation model based on a text evaluation result of one or more translated texts for training, the translated text for training being an output result after translating through the original translation model, and the text evaluation result for evaluating a contextual semantic relation in the translated text for training.
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