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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.
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.
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The Bank of English (BoE) is a representative subset of the 4.5 billion words COBUILD corpus, a collection of English texts.These are mainly British in origin, but content from North America, Australia, New Zealand, South Africa and other Commonwealth countries is also being included.
In tagging the BNC, the many rounds of work that went into CLAWS4 focused on making the CLAWS program independent from the tagsets. For example, the BNC project used two tagset versions: "a main tagset (C5) with 62 tags with which the whole of the corpus has been tagged, and a larger (C7) tagset with 152 tags, which has been used to make a ...
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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. [6] The Google Books Ngram Viewer supports searches for parts of speech and wildcards. [6] It is routinely used in research. [7] [8]
Word sketch of verb "read" in the British National Corpus in Sketch Engine. A word sketch is a one-page, automatic, corpus-derived summary of a word’s grammatical and collocational behaviour. Word sketches were first introduced by the British corpus linguist Adam Kilgarriff [1] and exploited within the Sketch Engine [2] corpus