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.
@article{arxiv.1403.4024,
title = {Measuring Global Similarity between Texts},
author = {Uli Fahrenberg and Fabrizio Biondi and Kevin Corre and Cyrille Jegourel and Simon Kongshøj and Axel Legay},
journal= {arXiv preprint arXiv:1403.4024},
year = {2014}
}