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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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An example of annotating a corpus is part-of-speech tagging, or POS-tagging, in which information about each word's part of speech (verb, noun, adjective, etc.) is added to the corpus in the form of tags. Another example is indicating the lemma (base) form of each word.
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 ...
A man found 4-month-old and 5-month-old baby girls in a ditch outside his Indianapolis home after they were kidnapped in a vehicle earlier in the day.
Each corpus contains one million words in 500 texts of 2000 words, [7] following the sampling methodology used for the Brown Corpus.Unlike Brown or the Lancaster-Oslo-Bergen (LOB) Corpus (or indeed mega-corpora such as the British National Corpus), however, the majority of texts are derived from spoken data.