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Mohamed Oukessou
Sultan Moulay Slimane University Beni-Mellal

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Semantic Similarity/Relatedness for Cross Language Plagiarism Detection Hanane Ezzikouri; Mohammed Erritali; Mohamed Oukessou
Indonesian Journal of Electrical Engineering and Computer Science Vol 1, No 2: February 2016
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/ijeecs.v1.i2.pp371-374

Abstract

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.
Co-Authors Hanane Ezzikouri Mohammed Erritali