Corpus linguistics
From Wikipedia, the free encyclopedia.
Corpus Linguistics is the study of language as expressed in samples (corpora) or "real world" text. The approach runs counter to Noam Chomsky's view that real language is riddled with performance-related errors, thus requiring careful analysis of small speech samples obtained in a highly controlled laboratory setting. Corpus Linguistics does away with Chomsky's competence/performance split, viewing that we can only ever reliably analyse language if the researcher does not interfere.
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.
The field was established in 1967 when Henry Kucera and Nelson Francis published their classic work Computational Analysis of Present-Day American English, on the basis 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, 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 also compiled using corpus linguistics.
See further
- corpus
- concordance (KWIC)
- collocation
- semantic prosody
- lexical profiles
- machine translation
- translation memory
External links