模糊搜索法在古西里尔文文本中的词分离

M. N. Mokrousov
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引用次数: 0

摘要

本文介绍了一种解决扫描文档图形字符识别阶段后古西里尔文字分词问题的方法。本文提出了一种基于古俄语语法词典的模糊文本搜索算法,并对搜索结果的完整性和准确性进行了评价。为了评估搜索结果的相关性和排名,提出了一种基于TF-IDF度量的符号识别变体排名计算方法。本文还介绍了一个自动搜索词的软件系统,并给出了实验结果,证明了所开发算法和程序的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The words separation in old Cyrillic texts with fuzzy search method
The article describes a solution to the problem of word separation in old Cyrillic texts after the stage of graphic character recognition on scanned documents. The article proposes an algorithm for fuzzy text search using the grammatical dictionary of the Old Russian language, with the completeness and accuracy of search results evaluate. To assess the relevance and ranking of the search results, a method for calculating the rank of the symbol recognition variant based on the TF-IDF metric is developed. The article also presents a software system of automated word search, presents the results of experiments that prove the effectiveness of the developed algorithms and programs.
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