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Looking at text simplification : Using eye tracking to evaluate the readability of automatically simplified sentences

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.

Identiferoai:union.ndltd.org:UPSALLA1/oai:DiVA.org:liu-151694
Date January 2018
CreatorsBjörk Timm, Linnea
PublisherLinköpings universitet, Interaktiva och kognitiva system
Source SetsDiVA Archive at Upsalla University
LanguageEnglish
Detected LanguageEnglish
TypeStudent thesis, info:eu-repo/semantics/bachelorThesis, text
Formatapplication/pdf
Rightsinfo:eu-repo/semantics/openAccess

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