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Research on Applicability of Sentence Similarity Algorithms in Text Copy Detection

机译:句子相似度算法在文本复制检测中的适用性研究

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Sentence similarity computation is the research topic of domain of natural language processing, and plays an important role in the example-based machine translation, information retrieval, text mining and other fields. Those sentence similarity algorithms have different applicability in different environments. This paper reviewed and analyzed five kinds of sentence similarity algorithm, and tested them in the field of text copy detection. In the end, the effect of different sentence similarity algorithms to the result of text copy detection was analyzed and evaluated.
机译:句子相似度计算是自然语言处理领域的研究课题,在基于实例的机器翻译,信息检索,文本挖掘等领域中发挥着重要作用。这些句子相似度算法在不同的环境中具有不同的适用性。本文对五种句子相似度算法进行了综述和分析,并在文本复制检测领域对其进行了测试。最后,分析和评估了不同句子相似度算法对文本复制检测结果的影响。

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