Semantic Similarity/Relatedness for Cross Language Plagiarism Detection

Hanane Ezzikouri, Mohammed Erritali, Mohamed Oukessou


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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