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Skilled users of the language can produce effects such as humor by varying the normal patterns of collocation. This approach is popular with poets, journalists and advertisers. Collocations may seem natural to native writers and speakers, but are not obvious to non-native speakers.
Rather than select a single definition, Gledhill [3] proposes that collocation involves at least three different perspectives: co-occurrence, a statistical view, which sees collocation as the recurrent appearance in a text of a node and its collocates; [4] [5] [6] construction, which sees collocation either as a correlation between a lexeme and ...
you all (colloquial/Southern American English) y’all’d’ve: you all would have (colloquial/Southern American English) y’all’dn't’ve: you all would not have (colloquial/Southern American English) y’all’re: you all are (colloquial/Southern American English) y’all’ren’t: you all are not (colloquial/Southern American English) y ...
There are two forms: repetition and collocation. Repetition uses the same word, or synonyms, antonyms, etc. For example, "Which dress are you going to wear?" – "I will wear my green frock," uses the synonyms "dress" and "frock" for lexical cohesion. Collocation uses related words that typically go together or tend to repeat the same meaning.
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.
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 ...
The Longman Dictionary of Contemporary English (LDOCE), first published by Longman in 1978, [1] is an advanced learner's dictionary, providing definitions using a restricted vocabulary, helping non-native English speakers understand meanings easily. It is available in four configurations:
This is a non-exhaustive list of copulae in the English language, i.e. words used to link the subject of a sentence with a predicate (a subject complement). Because many of these copulative verbs may be used non-copulatively, examples are provided. Also, there can be other copulative verbs depending on the context and the meaning of the ...