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Measuring Global Similarity Between Texts
[chapter]
2014
Lecture Notes in Computer Science
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.
doi:10.1007/978-3-319-11397-5_17
fatcat:neljuftyljasrbdstxh2oyy45m