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dc.contributor.authorSandnes, Frode Eika
dc.contributor.authorEika, Evelyn
dc.date.accessioned2023-12-14T15:20:37Z
dc.date.available2023-12-14T15:20:37Z
dc.date.created2023-12-02T16:29:10Z
dc.date.issued2023
dc.identifier.isbn979-8-4007-0069-9
dc.identifier.urihttps://hdl.handle.net/11250/3107664
dc.description.abstractReadability is an important goal of texts on the web. Manual inspection of readability can be time consuming. Several readability indices have been proposed but their calculations often require text to be copied into specific tools. We therefore developed a bookmarklet which allows the readability of websites to be visualized directly in the browser. The background of different passages of text is marked according to their readability with heat-map colors, using established readability indices. Frequent words and difficult words are marked with colors.en_US
dc.language.isoengen_US
dc.publisherAssociation for Computing Machinery (ACM)en_US
dc.relation.ispartofPETRA '23: Proceedings of the 16th International Conference on PErvasive Technologies Related to Assistive Environments
dc.relation.ispartofseriesPETRA: Pervasive Technologies Related to Assistive Environments;
dc.titleA Visualization Bookmarklet for Assessing the Readability of Texts on the Weben_US
dc.typeChapteren_US
dc.typePeer revieweden_US
dc.typeConference objecten_US
dc.description.versionacceptedVersionen_US
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.fulltextpostprint
cristin.qualitycode1
dc.identifier.cristin2207781


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