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arXiv · 1702.03082

UsingWord Embedding for Cross-Language Plagiarism Detection

J. Ferrero·F. Agnes·L. Besacier·D. Schwab
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Abstract

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% for English-French similarity detection at chunk level (88.5% at sentence level) on a very challenging corpus.

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J. Ferrero, F. Agnes, L. Besacier, D. Schwab. 2017-02-10. UsingWord Embedding for Cross-Language Plagiarism Detection. https://arxiv.org/abs/1702.03082

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