No term available
Present Italian car number plates have black characters on a rectangular white background, with small blue side-fields.
No term available
Present Italian car number plates have black characters on a rectangular white background, with small blue side-fields.
Vehicle registration plates of Italy · Italian car number plates · Italian license plates · Italian registration plates · License plates in Italy
Present Italian car number plates have black characters on a rectangular white background, with small blue side-fields.
Plaque d'immatriculation italienne
Sur les plaques d'immatriculation italiennes, l’usage des sigles pour les automobiles a commencé le 28 février 1927, à la suite d'une circulaire du ministre des travaux publics n. 3361 avec laquelle naît le nouveau code de la route.
Kfz-Kennzeichen (Italien)
Πινακίδες κυκλοφορίας οχημάτων της Ιταλίας
No term available
Present Italian car number plates have black characters on a rectangular white background, with small blue side-fields.
No term available
Present Italian car number plates have black characters on a rectangular white background, with small blue side-fields.
Targhe automobilistiche italiane · Targhe d'immatricolazione italiane · Targhe automobilistiche dell'Esercito Italiano
イタリア共和国の県名略記号
Present Italian car number plates have black characters on a rectangular white background, with small blue side-fields.
Индекс автомобильных номеров Италии
Регистрационные номерные знаки Италии
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BabelNet
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BabelNet has received funding from the European Research Council (ERC) under grant agreement No. 259234. Concept and design by Roberto Navigli.
BabelNet and its API are licensed under a Creative Commons Attribution-Non Commercial-Share Alike 3.0 License. BabelNet is now a self-sustained project with Babelscape as its commercial support arm, thanks to which the project will be continued and improved over time.
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BabelNet won the Prominent Paper Award 2017 from Artificial Intelligence, the most prestigious journal in the field of AI. This year the award selected the best article published in 2009-2016. The paper, authored by Roberto Navigli and Simone Paolo Ponzetto, presents the algorithmic techniques for creating and evaluating the BabelNet multilingual semantic network. Reference paper.
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BabelNet contains 15 243 400 synsets (i.e., entries), e.g.:
