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dc.contributor.authorStajner, Sanja.
dc.contributor.authorDornescu, Iustin
dc.contributor.authorEvans, Richard
dc.date.accessioned2018-04-12T15:12:53Z
dc.date.available2018-04-12T15:12:53Z
dc.date.issued2014
dc.identifier.citationProceedings of the Workshop on Automatic Text Simplification: Methods and Applications in the Multilingual Society
dc.identifier.urihttp://hdl.handle.net/2436/621238
dc.description.abstractIn the state of the art, there are scarce resources available to support development and evaluation of automatic text simplification (TS) systems for specific target populations. These comprise parallel corpora consisting of texts in their original form and in a form that is more accessible for different categories of target reader, including neurotypical second language learners and young readers. In this paper, we investigate the potential to exploit resources developed for such readers to support the development of a text simplification system for use by people with autistic spectrum disorders (ASD). We analysed four corpora in terms of nineteen linguistic features which pose obstacles to reading comprehension for people with ASD. The results indicate that the Britannica TS parallel corpus (aimed at young readers) and the Weekly Reader TS parallel corpus (aimed at second language learners) may be suitable for training a TS system to assist people with ASD. Two sets of classification experiments intended to discriminate between original and simplified texts according to the nineteen features lent further support for those findings.
dc.description.sponsorshipEC FP7
dc.language.isoen
dc.publisherAssociation for Computational Linguistics and Dublin City University
dc.subjectText simplification
dc.subjectReadability assessment
dc.subjectEvaluation
dc.subjectText classification
dc.titleAssessing Conformance of Manually Simplified Corpora with User Requirements: the Case of Autistic Readers
dc.typeWorking paper
pubs.place-of-publicationDublin, Ireland
html.description.abstractIn the state of the art, there are scarce resources available to support development and evaluation of automatic text simplification (TS) systems for specific target populations. These comprise parallel corpora consisting of texts in their original form and in a form that is more accessible for different categories of target reader, including neurotypical second language learners and young readers. In this paper, we investigate the potential to exploit resources developed for such readers to support the development of a text simplification system for use by people with autistic spectrum disorders (ASD). We analysed four corpora in terms of nineteen linguistic features which pose obstacles to reading comprehension for people with ASD. The results indicate that the Britannica TS parallel corpus (aimed at young readers) and the Weekly Reader TS parallel corpus (aimed at second language learners) may be suitable for training a TS system to assist people with ASD. Two sets of classification experiments intended to discriminate between original and simplified texts according to the nineteen features lent further support for those findings.


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