READ-IT: assessing readability of Italian texts with a view to text simplification (Contributo in atti di convegno)

Type
Label
  • READ-IT: assessing readability of Italian texts with a view to text simplification (Contributo in atti di convegno) (literal)
Anno
  • 2011-01-01T00:00:00+01:00 (literal)
Alternative label
  • Felice Dell'Orletta, Simonetta Montemagni, Giulia Venturi (2011)
    READ-IT: assessing readability of Italian texts with a view to text simplification
    in SLPAT '11 Proceedings of the Second Workshop on Speech and Language Processing for Assistive Technologies, Edimburgo, UK, 30 Luglio 2011
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Felice Dell'Orletta, Simonetta Montemagni, Giulia Venturi (literal)
Pagina inizio
  • 73 (literal)
Pagina fine
  • 83 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#altreInformazioni
  • ID_PUMA: cnr.ilc/2011-A2-007 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://dl.acm.org/citation.cfm?id=2140511 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#pagineTotali
  • 11 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • CNR-ILC (literal)
Titolo
  • READ-IT: assessing readability of Italian texts with a view to text simplification (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#isbn
  • 978-1-937284-14-5 (literal)
Abstract
  • In this paper, we propose a new approach to readability assessment with a specific view to the task of text simplification: the intended audience includes people with low literacy skills and/or with mild cognitive impairment. READ-IT represents the first advanced readability assessment tool for what concerns Italian, which combines traditional raw text features with lexical, morpho-syntactic and syntactic information. In READ-IT readability assessment is carried out with respect to both documents and sentences where the latter represents an important novelty of the proposed approach creating the prerequisites for aligning the readability assessment step with the text simplification process. READ-IT shows a high accuracy in the document classification task and promising results in the sentence classification scenario. (literal)
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