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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 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 language proficiency.
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.
An example of annotating a corpus is part-of-speech tagging, or POS-tagging, in which information about each word's part of speech (verb, noun, adjective, etc.) is added to the corpus in the form of tags. Another example is indicating the lemma (base) form of each word.
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A logo is a part of a company's mythos. Shape, size, color, typeface, white space -- all of it contains visual clues about the underlying brand's ethos. The best ones aren't only immediately ...
The Cambridge Learner Corpus (CLC) is a collection of exam scripts written by students learning English, built in collaboration with Cambridge English Language Assessment. The CLC contains scripts from over 180,000 students, from around 200 countries, speaking 138 different first languages and is growing all the time. [ 3 ]