Semantic Similarity/Relatedness for Cross Language Plagiarism Detection
2016 ◽
Vol 1
(2)
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pp. 371
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Keyword(s):
<p>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.</p>
2001 ◽
2017 ◽
Vol 36
(2)
◽
pp. 195-211
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