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1.发明申请公开(公告)号：US20190227823A1
公开(公告)日：2019-07-25
申请号：US16237262
申请日：2018-12-31
Inventor： Qiugen XIAO
Abstract: The present disclosure provides a method and a device for displaying multi-language typesetting, a browser, a terminal and a computer readable storage medium. The method includes: obtaining a text to be typeset; identifying embedded language content in a principal language text of the text to be typeset, wherein the embedded language content comprises at least one non-principal language content embedded in the principal language text; determining replacement content of the embedded language content, wherein the replacement content comprises a principal language text corresponding to the embedded language content or an abbreviation of a non-principal language text in the embedded language content; and replacing the embedded language content with the replacement content.
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2.发明申请公开(公告)号：US20180365208A1
公开(公告)日：2018-12-20
申请号：US15934496
申请日：2018-03-23
Inventor： Liqun ZHENG , Jinbo ZHAN , Qiugen XIAO , Zhihong FU , Jingzhou HE , Guyue ZHOU
Abstract: Embodiments of the present disclosure disclose a method for modifying a segmentation model based on artificial intelligence, a device and a storage medium. The method may include: acquiring a model parameter of the segmentation model, and performing a training on a feature vector corresponding to a preset generalized feature of a first training corpus via a neural network so as to acquire a model parameter of the preset generalized feature; performing a word segmentation on the first training corpus according to the model parameter of the segmentation model and the model parameter of the preset generalized feature, so as to acquire a segmentation result; and comparing the segmentation result with the first training corpus according to a preset rule, and modifying the model parameter of the segmentation model and a parameter of the neural network according to a comparison result.
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3.发明申请公开(公告)号：US20190095447A1
公开(公告)日：2019-03-28
申请号：US16054966
申请日：2018-08-03
Inventor： Qiugen XIAO , Jinbo ZHAN , Kunsheng ZHOU , Liqun ZHENG , Zhihong FU , Jingzhou HE
Abstract: Embodiments of the disclosure disclose a method, apparatus, device, and storage medium for establishing an error correction model based on an error correction platform. The method comprises: determining a target error correction level based on an error correction need of a user; and selecting at least one error correction module from each of at least two error correcting portions of the error correction platform based on the target error correction level, and combining the selected error correction module to form an error correction model.
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公开(公告)号：US20180365217A1
公开(公告)日：2018-12-20
申请号：US15934410
申请日：2018-03-23
Inventor： Liqun ZHENG , Jinbo ZHAN , Qiugen XIAO , Zhihong FU , Jingzhou HE , Guyue ZHOU
Abstract: Embodiments of the present disclosure disclose a word segmentation method based on artificial intelligence, a server and a storage medium. The word segmentation method may include: acquiring a corpus to be segmented and a segmentation model corresponding to a preset segmentation template; matching the corpus to be segmented with the segmentation model according to a preset matching algorithm, and acquiring a target phrase satisfying a first preset rule in the corpus to be segmented; modifying an emission matrix corresponding to the segmentation model and the corpus to be segmented according to the target phrase; and performing a word segmentation on the corpus to be segmented according to the emission matrix modified, to acquire a first segmentation result.
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