文档匹配的自然语言处理方法

Maitri Patel and Dr Hemant D Vasava
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引用次数: 0

摘要

数据,信息或知识,在这个快速发展和增长的世界。我们可以在网上找到各种各样的信息。这可能太有用了,然而对于学术界来说,这也是有用的,但在实践中,剽窃也很严重。这使得作品的原创性降低,欺骗性地使用别人的原创作品,后来不承认他们变得越来越普遍。有时老师或教授无法识别所提供的抄袭信息。所以现在的高等教育系统使用不同类型的工具进行比较。这里我们有一个想法,不匹配不同的文件,如学生的作业,互相比较,看看他们是否抄袭了对方的工作。也可以将某一科目考试的理想答题卡与学生的类似答题卡进行比较。想法是比较和相似的基础上,我们可以对他们进行排名。这两种方法都是一种,那就是比较文件。为了识别剽窃,已经使用了许多方法。因此,如果需要的话,我们可以比较和发展它们。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Natural Language Processing methods for Document Matching
Data,Information or knoweldge,in this rapidly moving and growing world.we can find any kind of information on Internet.And this can be too useful,however for acedemic world too it is useful but along with it plagarism is highly in practice.Which makes orginality of work degrade and fraudly using someones original work and later not acknowleging them is becoming common.And some times teachers or professors could not identify the plagarised information provided.So higher educational systems nowadays use different types of tools to compare.Here we have an idea to match no of different documents like assignments of students to compare with each other to find out, did they copied each other’s work?Also an idea to compare ideal answeer sheet of particular subject examination to similar test sheets of students.Idea is to compare and on similarity basis we can rank them.Both approach is one kind and that is to compare documents.To identify plagarism there are many methods used already.So we could compare and develop them if needed.
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