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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.
Corpus of Contemporary American English (COCA) 425 million words, 1990–2011. Freely searchable online Freely searchable online Corpus Resource Database (CoRD), more than 80 English language corpora.
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.
Mark E. Davies (born 1963) is an American linguist. He specializes in corpus linguistics and language variation and change.He is the creator of most of the text corpora from English-Corpora.org (including the Corpus of Contemporary American English/ COCA) as well as the Corpus del español and the Corpus do português.
Concordancing techniques are widely used in national text corpora such as American National Corpus (ANC), British National Corpus (BNC), and Corpus of Contemporary American English (COCA) available on-line. Stand-alone applications that employ concordancing techniques are known as concordancers [3] or more advanced corpus managers.
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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Some major pitfalls are the corpus content, the corpus register, and the definition of "word". While word counting is a thousand years old, with still gigantic analysis done by hand in the mid-20th century, natural language electronic processing of large corpora such as movie subtitles (SUBTLEX megastudy) has accelerated the research field.