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    • 2. 发明申请
    • Collecting and utilizing user correction feedback to improve handwriting recognition
    • 收集和利用用户校正反馈来改善手写识别
    • US20070292031A1
    • 2007-12-20
    • US11455874
    • 2006-06-19
    • Brian LeungMichael RevowRichard K. Sailor
    • Brian LeungMichael RevowRichard K. Sailor
    • G06K9/00
    • G06K9/00436
    • Various technologies and techniques are disclosed for using user corrections to help improve handwriting recognition operations. The system tracks user corrections to recognition results. The system receives handwritten input from the user and performs a recognition operation to determine a top recognized word. The prior corrections made by the user are analyzed to calculate a ratio of times the user has corrected the top recognized word to a particular other word as opposed to correcting the particular other word to the top recognized word. If the ratio meets or exceeds a required minimum, then at least one secondary source is optionally analyzed to determine if the particular other word is used a certain number of times more frequently than the top recognized word in the secondary source. The system performs a swap of the top recognized word with the particular other word when the required criteria are met.
    • 公开了各种技术和技术来使用用户校正来帮助改进手写识别操作。 系统跟踪用户对识别结果的更正。 该系统从用户接收手写输入并执行识别操作以确定顶部识别的字。 对用户进行的先前校正进行分析,以计算用户将顶部识别的单词修正为特定其他单词的次数的比例,而不是将特定的其他单词校正为顶部识别的单词。 如果该比率满足或超过所需的最小值,则可选地分析至少一个次级源以确定该特定的其他单词是否比次要源中的顶部识别的单词频繁使用一定次数。 当满足所需的标准时,系统将使用特定的其他单词执行顶部识别的字的交换。
    • 4. 发明授权
    • Collecting and utilizing user correction feedback to improve handwriting recognition
    • 收集和利用用户校正反馈来改善手写识别
    • US07881534B2
    • 2011-02-01
    • US11455874
    • 2006-06-19
    • Brian LeungMichael RevowRichard K. Sailor
    • Brian LeungMichael RevowRichard K. Sailor
    • G06K9/18G06K9/00G06K9/72G10L15/00
    • G06K9/00436
    • Various technologies and techniques are disclosed for using user corrections to help improve handwriting recognition operations. The system tracks user corrections to recognition results. The system receives handwritten input from the user and performs a recognition operation to determine a top recognized word. The prior corrections made by the user are analyzed to calculate a ratio of times the user has corrected the top recognized word to a particular other word as opposed to correcting the particular other word to the top recognized word. If the ratio meets or exceeds a required minimum, then at least one secondary source is optionally analyzed to determine if the particular other word is used a certain number of times more frequently than the top recognized word in the secondary source. The system performs a swap of the top recognized word with the particular other word when the required criteria are met.
    • 公开了各种技术和技术来使用用户校正来帮助改进手写识别操作。 系统跟踪用户对识别结果的更正。 该系统从用户接收手写输入并执行识别操作以确定顶部识别的字。 对用户进行的先前校正进行分析,以计算用户将顶部识别的单词修正为特定其他单词的次数的比例,而不是将特定的其他单词校正为顶部识别的单词。 如果该比率满足或超过所需的最小值,则可选地分析至少一个次级源以确定该特定的其他单词是否比次要源中的顶部识别的单词频繁使用一定次数。 当满足所需的标准时,系统将使用特定的其他单词执行顶部识别的字的交换。