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Computer Science > Computation and Language

arXiv:1702.03082 (cs)
[Submitted on 10 Feb 2017]

Title:UsingWord Embedding for Cross-Language Plagiarism Detection

Authors: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.
Comments: Accepted to EACL 2017 (short)
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:1702.03082 [cs.CL]
  (or arXiv:1702.03082v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.1702.03082

Submission history

From: Laurent Besacier [view email]
[v1] Fri, 10 Feb 2017 07:22:08 UTC (287 KB)
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Jérémy Ferrero
Frédéric Agnès
Laurent Besacier
Didier Schwab
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