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公开(公告)号：US11080492B2
公开(公告)日：2021-08-03
申请号：US16692549
申请日：2019-11-22
Inventor： Zhuobin Deng , Liqun Zheng , Xiyi Luo , Zhihong Fu , Jingzhou He
IPC: G06F40/30 , G06F40/289 , G06N3/04 , G06N3/08
Abstract: A method and device for correcting an error in a text are provided. The method includes: preprocessing the text to obtain at least one segment of the text; generating a plurality of candidate segments for the segment; scoring the plurality of candidate segments with a tree model, to obtain respective first scoring results of the plurality of candidate segments; scoring the plurality of candidate segments with a deep neural network model, to obtain respective second scoring results of the plurality of candidate segments; for each candidate segment, calculating a scoring of the candidate segment based on the first scoring result and the second scoring result of the candidate segment; ranking the plurality of candidate segments according to the scorings of the candidate segments, to obtain a ranking result; and correcting the error in the text according to the ranking result.
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2.发明申请公开(公告)号：US20180365227A1
公开(公告)日：2018-12-20
申请号：US15941065
申请日：2018-03-30
Inventor： Liqun Zheng , Jinbo Zhan , Qiugen Xiao , Zhihong Fu , Jingzhou He , Guyue Zhou
IPC: G06F17/27
Abstract: Embodiments of the present disclosure disclose a method and an apparatus for customizing a word segmentation model based on artificial intelligence, a device and a medium. The method includes the followings. A customized segmentation training corpus is acquired. A first preset word segmentation model is rectified with an increment training method or a weight intervention method, based on the customized segmentation training corpus, to obtain a customized word segmentation model corresponding to the customized segmentation training corpus.
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公开(公告)号：US10650096B2
公开(公告)日：2020-05-12
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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4.发明授权公开(公告)号：US10664659B2
公开(公告)日：2020-05-26
申请号：US15934496
申请日：2018-03-23
Inventor： Liqun Zheng , Jinbo Zhan , Qiugen Xiao , Zhihong Fu , Jingzhou He , Guyue Zhou
IPC: G06F40/284 , G06N3/08 , G06N3/04 , G06F40/242
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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