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Collocation extraction is a computational technique that finds collocations in a document or corpus, using various computational linguistics elements resembling data mining. Expanded definition [ edit ]
Compounds are units of meaning formed with two or more words. The words are usually written separately, but some may be hyphenated or be written as one word. Often the meaning of the compound can be guessed by knowing the meaning of the individual words.
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.
In linguistic morphology, collocational restriction is the way some words have special meanings in specific two-word phrases. For example the adjective "dry" only means "not sweet" in combination with the noun "wine".
In linguistics, co-occurrence or cooccurrence is an above-chance frequency of ordered occurrence of two adjacent terms in a text corpus.Co-occurrence in this linguistic sense can be interpreted as an indicator of semantic proximity or an idiomatic expression.
If so, the collocation is considered strong, and is worth paying closer attention to. In this example, "no stranger to" is a very frequent collocation; so are words such as "mysterious", "handsome", and "dark". This comes as no surprise. More interesting, however, is "no stranger to controversy".
English grammar is the set of structural rules of the English language. This includes the structure of words, phrases, clauses, sentences, and whole texts.
In the traditional grammar of Modern English, a phrasal verb typically constitutes a single semantic unit consisting of a verb followed by a particle (e.g., turn down, run into, or sit up), sometimes collocated with a preposition (e.g., get together with, run out of, or feed off of).