liu.seSearch for publications in DiVA
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
Looking at text simplification: Using eye tracking to evaluate the readability of automatically simplified sentences
Linköping University, Department of Computer and Information Science, Human-Centered systems.
2018 (English)Independent thesis Basic level (degree of Bachelor), 10 credits / 15 HE creditsStudent thesis
Abstract [en]

In a world with an increasing flow of written information online and offline, the demand for automatic translation, simplification and summarization technology is growing. The tool StilLett uses several lexical and semantic rules to automatically simplify text, shortening the time from original text to simplified text compared to manual simplification. Four of the simplification types were evaluated in this study, using three different eye tracking measures; total dwell time, number of regressions, and average fixation duration. No statistically significant differences were found for any of the simplification types when compared to the corresponding original sentences, indicating that for this population the difficulty of the sentences was roughly the same.

Place, publisher, year, edition, pages
2018. , p. 34
Keywords [en]
Eye tracking, readability, easy to read, average fixation duration, regressions, total dwell time
National Category
Interaction Technologies
Identifiers
URN: urn:nbn:se:liu:diva-151694ISRN: LIU-IDA/KOGVET-G--18/001—SEOAI: oai:DiVA.org:liu-151694DiVA, id: diva2:1252537
Subject / course
Cognitive science
Supervisors
Examiners
Available from: 2018-10-05 Created: 2018-10-02 Last updated: 2018-10-05Bibliographically approved

Open Access in DiVA

fulltext(1112 kB)58 downloads
File information
File name FULLTEXT01.pdfFile size 1112 kBChecksum SHA-512
c9b6e40608ca76d10293ba51de41906fe5f09c4c0a3e5a8493a35a9cf8b26c71496a85d1814366a12f1cb55eea5569bb3493c0f35dfc64cfbbaed88a528a081f
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Björk Timm, Linnea
By organisation
Human-Centered systems
Interaction Technologies

Search outside of DiVA

GoogleGoogle Scholar
Total: 58 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 282 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • oxford
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf