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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.
Text corpora (singular: text corpus) are large and structured sets of texts, which have been systematically collected.Text corpora are used by corpus linguists and within other branches of linguistics for statistical analysis, hypothesis testing, finding patterns of language use, investigating language change and variation, and teaching language proficiency.
The table also includes frequencies from other corpora. As well as usage differences, lemmatisation may differ from corpus to corpus – for example splitting the prepositional use of "to" from the use as a particle. Also, the Corpus of Contemporary American English (COCA) list includes dispersion as well as frequency to calculate rank.
The company published a list of the most mispronounced words of the year in the United States and the United Kingdom on Wednesday, including foreign words that have entered the English lexicon for ...
The American National Corpus (ANC) is a text corpus of American English containing 22 million words of written and spoken data produced since 1990. Currently, the ANC includes a range of genres, including emerging genres such as email, tweets, and web data that are not included in earlier corpora such as the British National Corpus .
Coca-Cola (NYSE: KO) Q3 2024 Earnings Call Oct 23, 2024, 8:30 a.m. ET. Contents: Prepared Remarks. Questions and Answers. ... Trademark Coca-Cola and sparkling flavors both grew volume. During the ...
Coca-Cola is also far from the only brand to use generative AI in its advertising. In June, Toys “R” Us drew online backlash for an AI commercial created using OpenAI’s text-to-video tool Sora.
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 ...