Publication | Open Access
Towards Techniques for Easy-to-Read Web Content
18
Citations
3
References
2014
Year
EngineeringSemantic WebCorpus LinguisticsEasy-to-read Web ContentTowards TechniquesText MiningNatural Language ProcessingLanguage DocumentationInformation RetrievalData ScienceComputational LinguisticsMarkup LanguageLanguage StudiesContent AnalysisMachine TranslationWeb LiteracyAuthor Support ToolComputer ScienceInformation ExtractionHypertextDynamic Web PageWeb IntelligenceLinguisticsContent ProcessingWeb Content
Requirements for Easy-to-Read Web content can be derived from various sources. The requirements cover linguistic properties as well as aspects of presentation and interaction. This paper compares different approaches to check that the Web content is understandable. A major challenge is that many guidelines are language-dependent. We describe a method to extend the coverage of an existing author support tool across multiple languages and show how this can be a first step towards common Techniques for Easy-to-Read Web content.
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