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The Brown Corpus was a carefully compiled selection of current American English, totalling about a million words drawn from a wide variety of sources. Kučera and Francis subjected it to a variety of computational analyses, from which they compiled a rich and variegated opus, combining elements of linguistics, psychology, statistics, and sociology.
List of text corpora. 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 ...
Corpus linguistics is an empirical method for the study of language by way of a text corpus (plural corpora). [ 1 ] Corpora are balanced, often stratified collections of authentic, "real world", text of speech or writing that aim to represent a given linguistic variety. [ 1 ] Today, corpora are generally machine-readable data collections.
Research on part-of-speech tagging has been closely tied to corpus linguistics. The first major corpus of English for computer analysis was the Brown Corpus developed at Brown University by Henry Kučera and W. Nelson Francis, in the mid-1960s. It consists of about 1,000,000 words of running English prose text, made up of 500 samples from ...
Content. 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. [7]
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Another English corpus that has been used to study word frequency is the Brown Corpus, which was compiled by researchers at Brown University in the 1960s. The researchers published their analysis of the Brown Corpus in 1967. Their findings were similar, but not identical, to the findings of the OEC analysis.
Each corpus contains one million words in 500 texts of 2000 words, [7] following the sampling methodology used for the Brown Corpus. Unlike Brown or the Lancaster-Oslo-Bergen (LOB) Corpus (or indeed mega-corpora such as the British National Corpus), however, the majority of texts are derived from spoken data. With only one million words per ...