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Measuring Global Similarity between Texts

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Fahrenberg, Uli Biondi, Fabrizio Corre, Kevin Jegourel, Cyrille Kongshøj, Simon Legay, Axel [UCL]

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.

Document type Communication à un colloque (Conference Paper) – Présentation orale avec comité de sélection
Publication date 2014
Language Anglais
Conference "SLSP 2014 : Second International Conference on Statistical Language and Speech Processing" (10/2014)
Host document "Statistical Language and Speech Processing Lecture Notes in Computer Science" (ISBN : 9783319113968)
Publisher Springer International Publishing (Cham)
Publication status Publié
Affiliation UCL - SST/ICTM/INGI - Pôle en ingénierie informatique
Links
Bibliographic reference Fahrenberg, Uli ; Biondi, Fabrizio ; Corre, Kevin ; Jegourel, Cyrille ; Kongshøj, Simon ; et. al. Measuring Global Similarity between Texts.SLSP 2014 : Second International Conference on Statistical Language and Speech Processing (10/2014). In: Statistical Language and Speech Processing Lecture Notes in Computer Science, Springer International Publishing : Cham2014
Permanent URL https://hdl.handle.net/2078.1/210510