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Collocation extraction is the task of using a computer to extract collocations automatically from a corpus.. The traditional method of performing collocation extraction is to find a formula based on the statistical quantities of those words to calculate a score associated to every word pairs.
Free Online Collocations Dictionary; Linguatools Collocations Database; Macmillan Collocations Dictionary Archived 2018-12-21 at the Wayback Machine; SKELL – free online tool for finding collocations in common language
Word sketch of verb "read" in the British National Corpus in Sketch Engine A word sketch is a one-page, automatic, corpus-derived summary of a word’s grammatical and collocational behaviour. Word sketches were first introduced by the British corpus linguist Adam Kilgarriff [ 1 ] and exploited within the Sketch Engine [ 2 ] corpus management ...
Sketch Engine is a product of Lexical Computing, a company founded in 2003 by the lexicographer and research scientist Adam Kilgarriff. [4] He started a collaboration with Pavel Rychlý, a computer scientist working at the Natural Language Processing Centre, Masaryk University, [5] and the developer of Manatee and Bonito (two major parts of the software suite).
In corpus linguistics, a collocation is a series of words or terms that co-occur more often than would be expected by chance. In phraseology , a collocation is a type of compositional phraseme , meaning that it can be understood from the words that make it up.
Other features include the ability to search for collocations, frequency statistics as well as metadata information about the processed text. [2] The narrower meaning of corpus manager refers only to the server side or the corpus query engine, whereas the client side is simply called the user interface.
The free online version was updated in 2008 and offers search (with spelling assistance), definitions, collocations, and many examples and illustrations. Longman Defining Vocabulary [ edit ]
frequency and collocation data from the Perseus Project; corpus examples, equally retrieved from the Perseus Project; references to relevant chapters in a number of (English-language) textbooks. Furthermore, an iOS app was developed by Joshua Day in 2013. The app's second version, launched in 2018, is also available for Android devices.