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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 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 ...
Corpora and frequency lists derived from them are useful for language teaching. Corpora can be considered as a type of foreign language writing aid as the contextualised grammatical knowledge acquired by non-native language users through exposure to authentic texts in corpora allows learners to grasp the manner of sentence formation in the ...
Corpus linguistics is an empirical method for the study of language by way of a text corpus (plural corpora). [1] Corpora are balanced, often stratified collections of authentic, "real world", text of speech or writing that aim to represent a given linguistic variety. [1] Today, corpora are generally machine-readable data collections.
Comparable variations would be British English, American English, and Indian English, that would be represented through a computer corpora. [2] The corpora are used by researchers to compare the syntax of the varieties of English. [3] ICE corpora completion would have comprehensive linguistic analysis of varieties of English that have emerged. [4]
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.
The Bank of English totals 650 million running words. [1] Copies of the corpus are held both at HarperCollins Publishers and the University of Birmingham. The version at Birmingham can be accessed for academic research. The Bank of English forms part of the Collins Word Web together with the French, German and Spanish corpora.
The British National Corpus (BNC) is a 100-million-word text corpus of samples of written and spoken English from a wide range of sources. [1] The corpus covers British English of the late 20th century from a wide variety of genres, with the intention that it be a representative sample of spoken and written British English of that time.
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.