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In some areas there is an overlap with Computational Linguistics , as the latter moves towards Language Processing Applications . This means dealing with real input data, where descriptions based on a linguist's intuition are not usually helpful.

A landmark in modern corpus linguistics was the publication by Henry Kucera and Nelson Francis of ''Computational Analysis of Present-Day American English'' in 1967, a work based on the analysis of the Brown Corpus , a carefully compiled selection of current American English, totalling about a million words drawn from a wide variety of sources. Kucera and Francis subjected it to a variety of computational analyses, from which they compiled a rich and variegated opus, combining elements of linguistics, language teaching, psychology, statistics, and sociology.

Shortly thereafter Boston publisher Houghton-Mifflin approached Kucera to supply a million word, three-line citation base for its new American Heritage Dictionary , the first dictionary to be compiled using corpus linguistics. The AHD made the innovative step of combining ''prescriptive'' elements (how language ''should'' be used) with ''descriptive'' information (how it actually ''is'' used).

Other publishers followed suit. The British publisher Collins' COBUILD Dictionaries , designed for users learning English as a foreign language, were compiled using the Bank Of English .

The (1960s British English), Kolhapur (Indian English), Wellington (New Zealand English), ACE (Australian English), the Frown Corpus (early 1990s American English), and the FLOB Corpus (1990s British English). Other corpora represent many languages, varieties and modes, and include The British National Corpus , a 100 million word collection of a range of spoken and written texts, created in the 1990s by a consortium of publishers, universities ( Oxford and Lancaster ) and the British Library . There is a project underway to create an American National Corpus .


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