Using Word Embedding for Cross-Language Plagiarism Detection

no code implementations • EACL 2017 • J{\'e}r{\'e}my Ferrero, Laurent Besacier, Didier Schwab, Fr{\'e}d{\'e}ric Agn{\`e}s

This paper proposes to use distributed representation of words (word embeddings) in cross-language textual similarity detection.

Machine Translation Sentence +1

A Multilingual, Multi-style and Multi-granularity Dataset for Cross-language Textual Similarity Detection

1 code implementation • LREC 2016 • J{\'e}r{\'e}my Ferrero, Fr{\'e}d{\'e}ric Agn{\`e}s, Laurent Besacier, Didier Schwab

In this paper we describe our effort to create a dataset for the evaluation of cross-language textual similarity detection.