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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 – 4 of 4 1 Language intensity scale ... Vidal-Suñe, Antoni; Lopez-Panisello, Mária Belen; Alarcón, Amado. - : Zenodo, 2021 BASE Show details 2 Language intensity scale ... Vidal-Suñe, Antoni; Lopez-Panisello, Mária Belen; Alarcón, Amado. - : Zenodo, 2021 BASE Show details 3 Language intensity classification and Neuronal Networks ... Sorrosal Forradellas, María Teresa; Molina-Cobo, Maria Carmen; Vidal Suñe, Antoni. - : Zenodo, 2019 BASE Show details 4 Language intensity classification and Neuronal Networks ... Sorrosal Forradellas, María Teresa; Molina-Cobo, Maria Carmen; Vidal Suñe, Antoni. - : Zenodo, 2019 Abstract: Kohonen Self-Organizing Maps (SOM) are a particular type of artificial neural network created by Teuvo Kohonen. Their unsupervised learning makes them suitable for application, among other things, to grouping tasks. Occupations have been grouped into this analysis considering the similarity in value of the variables that define this occupation in terms of language proficiency requirements. The 8 variables used were: v1-speaking skills, v2-writing skills, v3-speech clarity, v4-speech recognition, v5-English knowledge, v6-speaking ability, v7-communication with people outsiders, v8-communication with superiors, equals or subordinates. After applying this authomatic classification technique, the SOC occupations are classified according to five distinc groups with decreasing linguistic intensity: Class 1: High linguistic intenisty requirements Class 2: Medium-high linguistic intenisty requirements Class 3: Medium linguistic intenisty requirements Class 4: Medium-low linguistic intenisty requirements Class 5: Low ... : For more details on the methodology, see Kohonen, T. (2001). Self-Organizing Maps. Springer Series in Information Sciences. Berlin, Germany: Springer-Verlag. 3th edition. For more details on its use in linguistic skills analysis, see: Molina-Cobo, M.C .; Sorrosal-Forradellas, M.T. and Vidal, A. (2019) Las ocupaciones laborales en funcion de los requisitos de competencias linguisticas: una categorizacion mediante redes neuronales artificiales. Revista RIO, 19, 193-221 and Sorrosal-Forradellas, M.T. Molina-Cobo, M.C and Vidal, A. (2021) Clasificación de ocupaciones mediante redes neuronales artificiales según requisitos lingüísticos In: Vidal and Alarcon (eds.) Lenguaje y Ocupaciones. Editorial URV ... Keyword: https//cled-ilt-dgestempr.urv.cat/web/es/node/48; language skills, ocuppations, self-organizing maps URL: https://dx.doi.org/10.5281/zenodo.6367509 https://zenodo.org/record/6367509 BASE Hide details

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