跨语言剽窃检测的语义相似性/相关性

2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV) Pub Date : 2016-02-01 DOI:10.11591/IJEECS.V1.I2.PP371-374

H. Ezzikouri, M. Oukessou, M. Erritali

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引用次数: 10

摘要

一般来说，自然语言中的话语具有高度的歧义性，通常只有考虑到话语发生的语境才能确定一个独特的解释。自动确定多义词的正确意义是一个复杂的问题，特别是在多语言语料库中。为了在跨语言剽窃检测(CLPD)中对句子和段落进行语义相似度/距离度量，利用WordNet对英语-法语和英语-阿拉伯语多语言剽窃案例进行检测，本文提出了一种用于多语言单词和概念之间语义相似度/距离度量的应用程序编程接口。

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Semantic Similarity/Relatedness for Cross Language Plagiarism Detection

Generally utterances in natural language are highly ambiguous, and a unique interpretation can usually be determined only by taking into account the context in the utterance occurred. Automatically determining the correct sense of a polysemous word is a complicated problem especially in multilingual corpuses. This paper presents an application programming interface for several Semantic Relatedness/Similarity metrics measuring semantic similarity/distance between multilingual words and concepts, in order to use it after for sentences and paragraphs in Cross Language Plagiarism Detection (CLPD), using WordNet for the English-French and English-Arabic multilingual plagiarism cases.

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2016 13th International Conference on Computer Graphics, Imaging and Visualization (CGiV)

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