This part analyzes the errors of Kyujanggak library collection, including the textual errors and the intellectual error, and tries to research the objective and subjective reasons of the error.
分析了奎章阁图书馆藏本中存在的错误，包括文字方面和知识方面的错误，并探析了出错的主客观原因。
A casually entered (and potentially error prone) textual customer name is dynamically matched against the central master data store in real time, and a list of candidate names is returned.
会实时地将随意输入(可能会包含错误)的文本客户名称动态地在重要主数据存储区进行匹配，并会返回一组候选名列表。
However, refining class models with textual constraints is a time-consuming and error-prone task.
然而，用文本约束细化类模型是耗费时间并且易于出错的任务。
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