6533b871fe1ef96bd12d2569
RESEARCH PRODUCT
A Controllable Text Simplification System for the Italian Language
Angelo Luigi MegnaGiosuè Lo BoscoDaniele SchicchiGiovanni Pilatosubject
Text simplificationComputer scienceText simplification02 engineering and technologyEnglish languagecomputer.software_genreTask (project management)03 medical and health sciences0302 clinical medicineLinguistic sequence complexityDeep Learning0202 electrical engineering electronic engineering information engineeringValue (semiotics)Natural Language ProcessingSettore ING-INF/05 - Sistemi Di Elaborazione Delle InformazioniDeep Neural NetworksSettore INF/01 - Informaticabusiness.industryDeep learningItalian language030221 ophthalmology & optometryComputingMethodologies_DOCUMENTANDTEXTPROCESSING020201 artificial intelligence & image processingArtificial intelligenceState (computer science)businesscomputerNatural language processingdescription
Text simplification is a non-trivial task that aims at reducing the linguistic complexity of written texts. Researchers have studied the problem by proposing new methodologies for addressing the English language, but other languages, like the Italian one, are almost unexplored. In this paper, we give a contribution to the enhancement of the Automated Text Simplification research by presenting a deep learning-based system, inspired by a state of the art system for the English language, capable of simplifying Italian texts. The system has been trained and tested by leveraging the Italian version of Newsela; it has shown promising results by achieving a SARI value of 30.17.
| year | journal | country | edition | language |
|---|---|---|---|---|
| 2021-01-01 |