Text Correction for Dyslexic Users on an Online So
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专利名称：Text Correction for Dyslexic Users on an
Online Social Network
发明人：Xian Li,Irina-Elena Veliche,Debnil Sur,Shaomei
Wu,Amit Bahl,Juan Miguel Pino
申请号：US15860362
申请日：20180102
公开号：US20190205372A1
公开日：
20190704
专利内容由知识产权出版社提供
专利附图：
摘要：In one embodiment, a method includes identifying a plurality of dyslexic users on an online social network. The plurality of dyslexic users may be identified based on
content objects posted by these users over a particular time period, where the content objects may include one or more of word-level errors or sentence-level errors. A machine-learning model may be trained for text correction using a corpus of social network data, which may include at least the content objects with one or more of word-level errors or sentence-level errors, and a corresponding set of corrected content objects. A text string including one or more errors may be received from a client system associated with a first user. The text string may be transformed into a vector representation using an encoder of the machine-learning model. A corrected text string may be generated from the vector representation using a decoder of the machine-learning model.
申请人：Facebook, Inc.
地址：Menlo Park CA US
国籍：US
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