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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 ]
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 ...
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 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.
A corpus may contain texts in a single language (monolingual corpus) or text data in multiple languages (multilingual corpus).In order to make the corpora more useful for doing linguistic research, they are often subjected to a process known as annotation.
Corpus linguistics journals (3 P) N. Natural language processing toolkits (17 P) P. Persian corpora (4 P) Pages in category "Corpus linguistics"
The Child Language Data Exchange System (CHILDES) is a corpus established in 1984 [1] by Brian MacWhinney and Catherine Snow to serve as a central repository for data of first language acquisition. [ 2 ] [ 1 ] Its earliest transcripts date from the 1960s, and as of 2015 has contents (transcripts, audio, and video) in 26 languages from 230 ...