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Exploring and Analyzing Differences Across Levels of Readability in Easy-to-Read Text
Linköpings universitet, Institutionen för datavetenskap. Linköpings universitet, Tekniska fakulteten. Fodina Language Technlogy AB, Linköping, Sweden.
Linköpings universitet, Institutionen för datavetenskap, Människocentrerade system. Linköpings universitet, Tekniska fakulteten.ORCID-id: 0000-0003-4899-588X
2024 (engelsk)Inngår i: Papers from The Tenth Swedish Language Technology Conference (SLTC), 2024Konferansepaper, Oral presentation only (Annet vitenskapelig)
Abstract [en]

In this paper, we present results from investigations of text complexity using cohesion measures and their importance related to other text complexity measures. To provide additional nuance, we introduce the interrelated concepts of epistemic stance and narrativity, deepening the analysis of the statistical findings. These concepts also facilitate further discussion on complexity and cohesion as they relate to reading skills and knowledge asymmetries. We employ principal component analysis (PCA) to uncover these statistical relationships on a broader scale, while conducting more specific in-depth analyses of certain metrics. Our findings, which mostly align with existing literature, reaffirm the significance of narrativity in contextualizing cohesion. However, we unexpectedly found a clear link between higher complexity and less narrative text. Additionally, the PCA reveals a more nuanced picture of referential cohesion and the use of its constituent metrics, which varies depending on both narrativity and complexity.

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2024.
HSV kategori
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URN: urn:nbn:se:liu:diva-212605OAI: oai:DiVA.org:liu-212605DiVA, id: diva2:1947119
Konferanse
The Tenth Swedish Language Technology Conference (SLTC), November 27-29, 2024
Tilgjengelig fra: 2025-03-25 Laget: 2025-03-25 Sist oppdatert: 2026-06-05bibliografisk kontrollert

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Jönsson, Arne

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RefereraExporteraLink to record
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Referensformat
  • apa
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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
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Utmatningsformat
  • html
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  • asciidoc
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