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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.
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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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.
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Some major pitfalls are the corpus content, the corpus register, and the definition of "word". While word counting is a thousand years old, with still gigantic analysis done by hand in the mid-20th century, natural language electronic processing of large corpora such as movie subtitles (SUBTLEX megastudy) has accelerated the research field.
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English Profile is a collaborative programme which involves a number of different partner organisations. The founding partners in English Profile are the University of Cambridge (Cambridge University Press, Cambridge English Language Assessment, the Department of Theoretical and Applied Linguistics), the University of Bedfordshire (CRELLA - the Centre for Research in English Language Learning ...