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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.
To exploit a parallel text, some kind of text alignment identifying equivalent text segments (phrases or sentences) is a prerequisite for analysis. 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 ...
The TenTen Corpus Family (also called TenTen corpora) is a set of comparable web text corpora, i.e. collections of texts that have been crawled from the World Wide Web and processed to match the same standards. These corpora are made available through the Sketch Engine corpus manager. There are TenTen corpora for more than 35 languages.
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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.
N-grams from a very large corpus of books None. 2.2 TB of text Text Classification, clustering, regression 2011 [92] [93] Google Personae Corpus Collected for experiments in Authorship Attribution and Personality Prediction. Consists of 145 Dutch-language essays. In addition to normal texts, syntactically annotated texts are given. 145 Text
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According to the corpus website, [4] the current corpus (November 2021) is composed of texts that include 24-25 million words for each year 1990–2019. For each year contained in the corpus (1990–2019), the corpus is evenly divided between six registers/genres: TV/movies, spoken, fiction, magazine, newspaper, and academic (see Texts and ...