UsingWord Embedding for Cross-Language Plagiarism Detection

02/10/2017

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by   J. Ferrero, et al.

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This paper proposes to use distributed representation of words (word embeddings) in cross-language textual similarity detection. The main contributions of this paper are the following: (a) we introduce new cross-language similarity detection methods based on distributed representation of words; (b) we combine the different methods proposed to verify their complementarity and finally obtain an overall F1 score of 89.15 English-French similarity detection at chunk level (88.5 a very challenging corpus.