Abstract
This article traces the expediency of using corpora in various fields of linguistics. It also describes the functionality of 5 web pages allowing to work with English corpora and indicates the role of such corpora in the study of English for specific purposes (on the basis of language for neuroscience for medical sphere). According to L. Hoffman, language for specific purposes comprises language units of different levels used in professional communication. Therefore, the language for neuroscience for medical sphere is understood as those language units of different levels that ensure effective communication of scientists in this field (neurologists and neurobiologists). A corpus is a collection of computer-processed units of text including articles (newspaper, web, and journal articles) and sometimes other textual sources, such as court records. Corpora can be open and closed, annotated and unannotated. They are actively used in translation, cognitive linguistics and many other fields. The conclusion from this study is that corpora can also be a useful tool in working with professional language. This is shown by a look at the functionality of English Corpora, Just-the-word, Skell Search Engine, Netspeak and Lexturor. All of these websites provide access to a large number of English corpora. Almost every one of them has an advanced search for lexical items. Most of these websites count the results. English Corpora, Lextutor and Skell Search Engine have the most detailed filters for information. They allow you to search for lexical items by their source, part of speech and other ways of advanced search. Of all the websites that offer corpus work, Skell Search Engine, and specifically its paid version, is the most detailed. Thanks to the CQL (corpus query language) search, which actually looks like a given sequence with unknown parts, you can search for various lexical and grammatical constructions among the corpora presented on the website.
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More From: Bulletin of Luhansk Taras Shevchenko National University
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