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

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. We present preexisting corpora and their limits and we explain the various gathered resources to overcome these limits and build our enriched dataset... (read more)

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

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