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HYBRID APPROACH TO APPROXIMATE STRING MATCHING USING MACHINE LEARNING
HYBRID APPROACH TO APPROXIMATE STRING MATCHING USING MACHINE LEARNING
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机译:使用机器学习来近似匹配字符串的混合方法
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摘要
Systems, apparatuses, and methods are provided for identifying a corresponding string stored in memory based on an incomplete input string. A system can analyze and produce phonetic and distance metrics for a plurality of strings stored in memory by comparing the plurality of strings to an incomplete input string. These similarity metrics can be used as the input to a machine learning model, which can quickly and accurately provide a classification. This classification can be used to identify a string stored in memory that corresponds to the incomplete input string.
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