Measuring Global Similarity between Texts
  We propose a new similarity measure between texts which, contrary to the current state-of-the-art approaches, takes a global view of the texts to be compared. We have implemented a tool to compute our textual distance and conducted experiments on several corpuses of texts. The experiments show that our methods can reliably identify different global types of texts. 
Uli Fahrenberg, Fabrizio Biondi, Kevin Corre, Cyrille Jegourel, Simon   Kongsh{\o}j, Axel Legay
cs.CL