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An Exploratory Study on Genre Classification using Readability Features
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Science & Engineering. SICS East Swedish ICT AB, Linköping, Sweden. (NLPLAB)ORCID iD: 0000-0002-6357-4461
Linköping University, Department of Computer and Information Science, Human-Centered systems. SICS East Swedish ICT AB, Linköping, Sweden.
Linköping University, Department of Computer and Information Science, Human-Centered systems. Linköping University, Faculty of Arts and Sciences. SICS East Swedish ICT AB, Linköping, Sweden.ORCID iD: 0000-0003-4899-588X
2016 (English)Conference paper, Poster (Other academic)
Abstract [en]

We present a preliminary study that explores whether text features used for readability assessment are reliable genre-revealingfeatures. We empirically explore the difference between genre and domain. We carry out two sets of experiments with bothsupervised and unsupervised methods. Findings on the Swedish national corpus (the SUC) show that readability cues are goodindicators of genre variation.

Place, publisher, year, edition, pages
2016.
National Category
Language Technology (Computational Linguistics)
Identifiers
URN: urn:nbn:se:liu:diva-132628OAI: oai:DiVA.org:liu-132628DiVA: diva2:1047408
Conference
The Sixth Swedish Language Technology Conference (SLTC) Umeå University, Umeå, Sweden, November 17-18, 2016
Funder
.SE (The Internet Infrastructure Foundation)VINNOVA
Available from: 2016-11-17 Created: 2016-11-17 Last updated: 2016-11-23Bibliographically approved

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Falkenjack, JohanJönsson, Arne
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