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Corpus linguistics is an empirical method for the study of language by way of a text corpus (plural corpora). [1] Corpora are balanced, often stratified collections of authentic, "real world", text of speech or writing that aim to represent a given linguistic variety . [ 1 ]
Text corpora (singular: text corpus) are large and structured sets of texts, which have been systematically collected.Text corpora are used by both AI developers to train large language models and 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 ...
In order to make the corpora more useful for doing linguistic research, they are often subjected to a process known as annotation. 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.
Corpus-assisted discourse studies (abbr.: CADS) is related historically and methodologically to the discipline of corpus linguistics.The principal endeavor of corpus-assisted discourse studies is the investigation, and comparison of features of particular discourse types, integrating into the analysis the techniques and tools developed within corpus linguistics.
The Child Language Data Exchange System (CHILDES) is a corpus established in 1984 [1] by Brian MacWhinney and Catherine Snow to serve as a central repository for data of first language acquisition. [ 2 ] [ 1 ] Its earliest transcripts date from the 1960s, and as of 2015 has contents (transcripts, audio, and video) in 26 languages from 230 ...
Recorders that record video typically also record audio as well. However, the audio does not always meet the criteria of minimal needs and recommended best practices for language documentation (uncompressed WAV format, 44.1 kHz, 16-bit), and is often not useful for linguistic purposes such as phonetic analysis.
The corpus of Global Web-based English (GloWbE; pronounced "globe") contains about 1.9 billion words of text from twenty different countries. This makes it about 100 times as large as other corpora like the International Corpus of English, and it allows for many types of searches that would not be possible otherwise.
The American National Corpus (ANC) is a text corpus of American English containing 22 million words of written and spoken data produced since 1990. Currently, the ANC includes a range of genres, including emerging genres such as email, tweets, and web data that are not included in earlier corpora such as the British National Corpus .