Collocations are a class of idiomatic expressions comprised of a sequence of words which, for mostly arbitrary reasons, occur together in a prescribed order. Collocations are not necessarily grammatical and/or cannot be generated through knowledge of rules or formulae. Therefore, they are often not easily mastered by EFL learners and typically only dealt with during the latter phase of second language apprenticeship. Literature has mostly examined the phenomenon of collocations from one of two perspectives. First, there are studies focusing on error analysis and contingent pedagogical advice. Second, there is research concerned with theory development; a genre associated with a specific methodological limitations. This study reports on data pertaining to a novel approach to learning collocations; one based on a learner's incidental discovery of such structures in written texts. Our research question is: will students who have been introduced to and practiced specific collocations in reading texts be inclined to naturally use such exemplars appropriately in novel/unfamiliar subsequent contexts? Findings have implications for EFL teachers and those concerned with curriculum development.
This article is about the corpus linguistics notion. For other uses, see Colocation (disambiguation).
In corpus linguistics, a collocation is a sequence of words or terms that co-occur more often than would be expected by chance. In phraseology, collocation is a sub-type of phraseme. An example of a phraseological collocation, as propounded by Michael Halliday, is the expression strong tea. While the same meaning could be conveyed by the roughly equivalent powerful tea, this expression is considered excessive and awkward by English speakers. Conversely, the corresponding expression in technology, powerful computer is preferred over strong computer. Phraseological collocations should not be confused with idioms, where an idiom's meaning is derived from its convention as a stand-in for something else while collocation is a mere popular composition.
There are about six main types of collocations: adjective+noun, noun+noun (such as collective nouns), verb+noun, adverb+adjective, verbs+prepositional phrase (phrasal verbs), and verb+adverb.
Collocation extraction is a computational technique that finds collocations in a document or corpus, using various computational linguistics elements resembling data mining.
Collocations are partly or fully fixed expressions that become established through repeated context-dependent use. Such terms as 'crystal clear', 'middle management', 'nuclear family', and 'cosmetic surgery' are examples of collocated pairs of words.
Collocations can be in a syntactic relation (such as verb–object: 'make' and 'decision'), lexical relation (such as antonymy), or they can be in no linguistically defined relation. Knowledge of collocations is vital for the competent use of a language: a grammatically correct sentence will stand out as awkward if collocational preferences are violated. This makes collocation an interesting area for language teaching. Recently, a mobile version of Collocation Dictionary was published on Google Play.
Corpus linguists specify a key word in context (KWIC) and identify the words immediately surrounding them. This gives an idea of the way words are used.
The processing of collocations involves a number of parameters, the most important of which is the measure of association, which evaluates whether the co-occurrence is purely by chance or statistically significant. Due to the non-random nature of language, most collocations are classed as significant, and the association scores are simply used to rank the results. Commonly used measures of association include mutual information, t scores, and log-likelihood.
Rather than select a single definition, Gledhill proposes that collocation involves at least three different perspectives: (i) co-occurrence, a statistical view, which sees collocation as the recurrent appearance in a text of a node and its collocates, (ii) construction, which sees collocation either as a correlation between a lexeme and a lexical-grammatical pattern, or as a relation between a base and its collocative partners and (iii) expression, a pragmatic view of collocation as a conventional unit of expression, regardless of form. It should be pointed out here that these different perspectives contrast with the usual way of presenting collocation in phraseological studies. Traditionally speaking, collocation is explained in terms of all three perspectives at once, in a continuum:
- 'Free Combination' ↔ 'Bound Collocation' ↔ 'Frozen Idiom'
In 1933, Harold Palmer's Second Interim Report on English Collocations highlighted the importance of collocation as a key to producing natural-sounding language, for anyone learning a foreign language. Thus from the 1940s onwards, information about recurrent word combinations became a standard feature of monolingual learner's dictionaries. As these dictionaries became 'less word-centred and more phrase-centred', more attention was paid to collocation. This trend was supported, from the beginning of the 21st century, by the availability of large text corpora and intelligent corpus-querying software such as Sketch Engine, making possible to provide a more systematic account of collocation in dictionaries. Using these tools, dictionaries such as the Macmillan English Dictionary and the Longman Dictionary of Contemporary English included boxes or panels with lists of frequent collocations.
There are also a number of specialized dictionaries devoted to describing the frequent collocations in a language. These include (for Spanish) Redes: Diccionario combinatorio del español contemporaneo (2004), (for French) Le Robert: Dictionnaire des combinaisons de mots (2007), and (for English) the LTP Dictionary of Selected Collocations (1997) and the Macmillan Collocations Dictionary (2010).
Statistically significant collocation
Student's t-test can be used to determine whether the occurrence of a collocation in a corpus is statistically significant. For a bigram, let be the unconditional probability of occurrence of in a corpus with size , and let be the unconditional probability of occurrence of in the corpus. Then the t-score for the bigram is calculated as:
where is the sample mean of the occurrence of , is the number of occurrences of , is the probability of under the null-hypothesis that and appear independently in the text, and is the sample variance. With a large , the t-test is equivalent to a z-test.
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- ^Halliday, M.A.K., 'Lexis as a Linguistic Level', Journal of Linguistics 2(1) 1966: 57-67
- ^Dunning, Ted (1993): "Accurate methods for the statistics of surprise and coincidence". Computational Linguistics 19, 1 (Mar. 1993), 61-74.
- ^Dunning, Ted (2008-03-21). "Surprise and Coincidence". blogspot.com. Retrieved 2012-04-09.
- ^Gledhill C. (2000): Collocations in Science Writing, Narr, Tübingen
- ^Firth J.R. (1957): Papers in Linguistics 1934–1951. Oxford: Oxford University Press.
- ^Sinclair J. (1996): "The Search for Units of Meaning", in Textus, IX, 75–106.
- ^Smadja F. A & McKeown, K. R. (1990): "Automatically extracting and representing collocations for language generation", Proceedings of ACL'90, 252–259, Pittsburgh, Pennsylvania.
- ^Hunston S. & Francis G. (2000): Pattern Grammar — A Corpus-Driven Approach to the Lexical Grammar of English, Amsterdam, John Benjamins
- ^Hausmann F. J. (1989): Le dictionnaire de collocations. In Hausmann F.J., Reichmann O., Wiegand H.E., Zgusta L.(eds), Wörterbücher : ein internationales Handbuch zur Lexikographie. Dictionaries. Dictionnaires. Berlin/New-York : De Gruyter. 1010-1019.
- ^Moon R. (1998): Fixed Expressions and Idioms, a Corpus-Based Approach. Oxford, Oxford University Press.
- ^Frath P. & Gledhill C. (2005): "Free-Range Clusters or Frozen Chunks? Reference as a Defining Criterion for Linguistic Units," in Recherches anglaises et Nord-américaines, vol. 38 :25–43
- ^Cowie, A.P., English Dictionaries for Foreign Learners, Oxford University Press 1999:54-56
- ^Bejoint, H., The Lexicography of English, Oxford University Press 2010: 318
- ^"MED Second Edition - Key features - Macmillan". macmillandictionaries.com.
- ^Herbst, T. and Klotz, M. 'Syntagmatic and Phraseological Dictionaries' in Cowie, A.P. (Ed.) The Oxford History of English Lexicography, 2009: part 2, 234-243
- ^"Macmillan Collocation Dictionary - How it was written - Macmillan". macmillandictionaries.com.
- ^Manning, Chris; Schütze, Hinrich (1999). Foundations of Statistical Natural Language Processing. Cambridge, MA: MIT Press. pp. 163–166. ISBN 0262133601.