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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 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 ...
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 ...
Covering both British and American varieties of English in all of these registers but the last one, [2] the descriptions in LGSWE are based on a language corpus exceeding 40 million words and as such this grammar has been widely praised as a new milestone in corpus-based grammatical studies. [3]
A landmark in modern corpus linguistics was the publication of Computational Analysis of Present-Day American English in 1967. Written by Henry Kučera and W. Nelson Francis , the work was based on an analysis of the Brown Corpus , which is a structured and balanced corpus of one million words of American English from the year 1961.
In order to be able to meticulously study the English language, an annotated text corpus was much needed. The Penn Treebank [ 5 ] was one of the most used corpora. It consisted of IBM computer manuals, transcribed telephone conversations, and other texts, together containing over 4.5 million words of American English, annotated using both part ...
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 .
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 ...