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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Hits 1 – 2 of 2 1 Corpora for Linguists vs. Corpora for Learners ... Forti, Luciana; Spina, Stefania. - : Università Ca’ Foscari Venezia, Italia, 2020 BASE Show details 2 Learning to Classify Text Complexity for the Italian Language Using Support Vector Machines Santucci, Valentino; Forti, Luciana; Santarelli, Filippo; Spina, Stefania; Milani, Alfredo In: Computational Science and Its Applications – ICCSA 2020 (2020) Abstract: Natural language processing is undoubtedly one of the most active fields of research in the machine learning community. In this work we propose a supervised classification system that, given in input a text written in the Italian language, predicts its linguistic complexity in terms of a level of the Common European Framework of Reference for Languages (better known as CEFR). The system was built by considering: (i) a dataset of texts labeled by linguistic experts was collected, (ii) some vectorisation procedures which transform any text to a numerical representation, and (iii) the training of a support vector machine’s model. Experiments were conducted following a statistically sound design and the experimental results show that the system is able to reach a good prediction accuracy. Keyword: Article URL: http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7978617/ https://doi.org/10.1007/978-3-030-58802-1_27 BASE Hide details

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