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The song is characterised by an E flat groove in the drum and bass guitar and riff in the horn section. [7] Between the drum loop, the looped horns, and the conversational improvisational "freestyle" flow of the lyrics and the chanting chorus, the song has many elements later found in hip hop in the mid 1980s and 1990s.
The Corpus of Contemporary American English (COCA) is composed of one billion words as of November 2021. [1] [2] [4] The corpus is constantly growing: In 2009 it contained more than 385 million words; [5] in 2010 the corpus grew in size to 400 million words; [6] by March 2019, [7] the corpus had grown to 560 million words.
In 2006, the song was used again in a Coca-Cola commercial in the Netherlands, performed by Dutch singer Berget Lewis. [12] In 2010, Coca-Cola once again used the song in a television commercial featuring the entire line of its sponsored NASCAR Sprint Cup drivers. The commercial included the drivers singing the song while driving in a race. [13]
Coca-Cola is launching a new multi-platform campaign in the US called 'Share a Coke and a Song.' ... The coke cans will feature lyrics from more than 70 popular songs, including favorite phrases ...
Related: The 26 Funniest NYT Connections Game Memes You'll Appreciate if You Do This Daily Word Puzzle. Hints About Today's NYT Connections Categories on Wednesday, December 11. 1. An idyllic or ...
"LLYLM" (an acronym for "Lie Like You Love Me") is a song by Spanish singer Rosalía. It was released on 27 January 2023 by Columbia Records. The flamenco pop song contains handclaps, guitars, synthesizers, and a chorus sung in English. "LLYLM" was used to promote a limited edition drink made in collaboration between Rosalía and Coca-Cola.
"Colors" is a song by American singer and songwriter Jason Derulo. It was the Coca-Cola promotional anthem for the 2018 FIFA World Cup. The song was released on March 9, 2018. [2] On April 12, 2018, Derulo performed the song live during a medley with "Tip Toe" and "Swalla" at the German Echo Music Prize. [3]
Corpus of Linguistic Acceptability (CoLA) is a dataset the primary purpose of which is to serve as a benchmark for evaluating the ability of artificial neural networks, including large language models, to judge the grammatical correctness of sentences. It consists of 10,657 English sentences from published linguistics literature that were ...