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In 1907, William A. Noyes had enlarged the Review of American Chemical Research, an abstracting publication begun by Arthur Noyes in 1895 that was the forerunner of Chemical Abstracts. When it became evident that a separate publication containing these abstracts was needed, Noyes became the first editor of the new publication, Chemical Abstracts.
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 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 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 Cambridge Business English Corpus also includes the Cambridge and Nottingham Spoken Business English Corpus (CANBEC), the result of a joint project between Cambridge University Press and the University of Nottingham. This is a collection of recordings of English from companies of all sizes, ranging from big multinational companies to small ...
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BookCorpus (also sometimes referred to as the Toronto Book Corpus) is a dataset consisting of the text of around 7,000 self-published books scraped from the indie ebook distribution website Smashwords. [1] It was the main corpus used to train the initial GPT model by OpenAI, [2] and has been used as training data for other early large language ...
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 ...