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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 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 ...
[1] [2] [5] There are also some specialized English corpora, such as American English, British English, and English Fiction. [6] The program can search for a word or a phrase, including misspellings or gibberish. [5] The n-grams are matched with the text within the selected corpus, and if found in 40 or more books, are then displayed as a graph ...
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Machine translation algorithms for translating between two languages are often trained using parallel fragments comprising a first-language corpus and a second-language corpus, which is an element-for-element translation of the first-language corpus. [3] Philologies
The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.
The Cambridge International Corpus (CIC) is a collection of over 2 billion words [1] of real spoken and written English. The texts are stored in a database that can be searched to see how English is used. The CIC also contains the Cambridge Learner Corpus, a unique collection of over 60,000 exam papers from Cambridge ESOL.
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