Patuet (from the French ) is the dialect of the Catalan language that was spoken in the Maghreb, mainly in Algeria, during the French administration. Mainly of Menorca, Alicante and Roussillon origin, it was characterized by French and Arabic influences and, in turn, influenced the French slang of the pied-noir. After the Pieds-noirs exodus that followed the independence of Algeria, in 1962, most of the population was dispersed throughout France (majority), Roussillon and a minority in the province of Alicante, Spain. The Fort-de-l'Eau Neighborhood Association holds an annual meeting of Algeri
Patuet (from the French ) is the dialect of the Catalan language that was spoken in the Maghreb, mainly in Algeria, during the French administration. Mainly of Menorca, Alicante and Roussillon origin, it was characterized by French and Arabic influences and, in turn, influenced the French slang of the pied-noir. After the Pieds-noirs exodus that followed the independence of Algeria, in 1962, most of the population was dispersed throughout France (majority), Roussillon and a minority in the province of Alicante, Spain. The Fort-de-l'Eau Neighborhood Association holds an annual meeting of Algerians of Menorcan descent in the Provencal commune of L'Isle-sur-la-Sorgue. In 2001, some participants in the event still spoke Patuet.''''
== History == France occupied Algiers in 1830, and declared Algeria a French territory in 1848. From the first years, a European migratory current towards Algeria began. Among the emigrants, on the one hand, the people from Alicante who settled around Oran stood out, and on the other, the Menorcans who settled around Algiers, coinciding with the Roussillons. In 1889, an automatic naturalization law granted French citizenship to all foreigners of European origin. In 1896 the Catalan-speaking population of Algeria exceeded 60,000 people and in 1911 it probably exceeded 100,000. After World War I, the migratory flow stabilized, except for a brief period of refugees from the Spanish Civil War.
Discovered by embedding cosine similarity (sentence-transformers MiniLM, 384-dim).