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Bibendum [1] (French pronunciation: [bibɛ̃dɔm]), commonly referred to in English as the Michelin Man [2] or Michelin Tire Man, is the official mascot of the Michelin tire company. A humanoid figure consisting of stacked white tires , it was introduced at the Lyon Exhibition of 1894 where the Michelin brothers had a stand. [ 3 ]
nunc est bibendum: now is the time to drink: Carpe-Diem-type phrase from the Odes of Horace, Nunc est bibendum, nunc pede libero pulsanda tellus (Now is the time to drink, now the time to dance footloose upon the earth). Used as a slogan by Michelin and the origin of the Michelin Man's name Bibendum. nunc pro tunc: now for then
O'Galop was born in Lyon, France in 1867.. He began his career around 1893, drawing cartoons for magazines. [1] He created his first advertisement for Michelin in 1898 and would continue creating posters for the company featuring Bibendum until 1911.
Pages for logged out editors learn more. Contributions; Talk; Bibendum
Michelin (/ ˈ m ɪ ʃ əl ɪ n, ˈ m ɪ tʃ əl ɪ n / MISH-əl-in, MITCH-əl-in, French:), in full Compagnie Générale des Établissements Michelin SCA ("General Company of the Michelin Enterprises P.L.S."), is a French multinational tyre manufacturing company based in Clermont-Ferrand in the Auvergne-Rhône-Alpes région of France.
Foundational definition in semiotics. alis aquilae: on an eagle's wings: From Isaiah 40: "But those who wait for the Lord shall find their strength renewed, they shall mount up on wings like eagles, they shall run and not grow weary, they shall walk and not grow faint." alis grave nil: nothing [is] heavy with wings
In law, a legal entity is an entity that is capable of bearing legal rights and obligations, such as a natural person or an artificial person (e.g. business entity or a corporate entity). In politics, entity is used as term for territorial divisions of some countries (e.g. Bosnia and Herzegovina).
Named-entity recognition (NER) (also known as (named) entity identification, entity chunking, and entity extraction) is a subtask of information extraction that seeks to locate and classify named entities mentioned in unstructured text into pre-defined categories such as person names, organizations, locations, medical codes, time expressions, quantities, monetary values, percentages, etc.