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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.
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.
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 ...
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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.
This page was last edited on 29 September 2023, at 00:16 (UTC).; Text is available under the Creative Commons Attribution-ShareAlike 4.0 License; additional terms may apply.
Law and corpus linguistics (LCL) gained greater legitimacy in July 2011 with the first judicial opinion in American history utilizing corpus linguistics to determine the meaning of a legal text: In re the Adoption of Baby E.Z. [4]: 702 In a concurrence in part and in the judgment, Justice Thomas Lee wrote to put forth an alternative ground for ...
In linguistics and natural language processing, a corpus (pl.: corpora) or text corpus is a dataset, consisting of natively digital and older, digitalized, language resources, either annotated or unannotated.