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Text corpora (singular: text corpus) are large and structured sets of texts, which have been systematically collected.Text corpora are used by both AI developers to train large language models and 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 ...
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.
The Cambridge Business English Corpus also includes the Cambridge and Nottingham Spoken Business English Corpus (CANBEC), the result of a joint project between Cambridge University Press and the University of Nottingham. This is a collection of recordings of English from companies of all sizes, ranging from big multinational companies to small ...
The Bank of English totals 650 million running words. [1] Copies of the corpus are held both at HarperCollins Publishers and the University of Birmingham. The version at Birmingham can be accessed for academic research. The Bank of English forms part of the Collins Word Web together with the French, German and Spanish corpora.
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 .
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In 1967, Kučera and Francis published their classic work, entitled "Computational Analysis of Present-Day American English", which provided basic statistics on what is known today simply as the Brown Corpus. [1] The Brown Corpus was a carefully compiled selection of current American English, totalling about a million words drawn from a wide ...
BookCorpus (also sometimes referred to as the Toronto Book Corpus) is a dataset consisting of the text of around 7,000 self-published books scraped from the indie ebook distribution website Smashwords. [1] It was the main corpus used to train the initial GPT model by OpenAI, [2] and has been used as training data for other early large language ...