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linking verb

Linking verbs (also known as copulas or copular verbs) are used to describe the state of being of the subject of a clause. Unlike action verbs (also called dynamic verbs), they connect the subject to the predicate of the clause without expressing any action.
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1. A verb, such as a form of be or seem, that identifies the predicate of a sentence with the subject. Also called linking verb.
2. Logic The word or set of words that serves as a link between the subject and predicate of a proposition.

[Latin cōpula, link.]

cop′u·lar (-lər) adj.


n, pl -las or -lae (-ˌliː)
1. (Grammar) a verb, such as be, seem, or taste, that is used merely to identify or link the subject with the complement of a sentence. Copulas may serve to link nouns (or pronouns), as in he became king, nouns (or pronouns) and adjectival complements, as in sugar tastes sweet, or nouns (or pronouns) and adverbial complements, as in John is in jail
2. anything that serves as a link
3. (Logic) logic the often unexpressed link between the subject and predicate terms of a categorial proposition, as are in all men are mortal
[C17: from Latin: bond, connection, from co- together + apere to fasten]
ˈcopular adj


(ˈkɒp yə lə)

n., pl. -las, -lae (-ˌli)
1. something that connects or links together.
2. Also called linking verb. a verb, as be, seem, or look, that serves as a connecting link or establishes an identity between subject and complement.
3. the connecting link between the subject and predicate of a proposition.
[1640–50; < Latin cōpula=co- co- + ap- fasten (see apt) + -ula -ule]
cop′u•lar, adj.


A verb that identifies or links the subject with the predicate in a sentence, for example, “looks” in “She looks very happy today.”
ThesaurusAntonymsRelated WordsSynonymsLegend:
Noun1.copula - an equating verb (such as `be' or `become') that links the subject with the complement of a sentence
verb - a content word that denotes an action, occurrence, or state of existence


[ˈkɒpjʊlə] N (copulas or copulae (pl)) [ˈkɒpjʊliː]cópula f


nKopula f, → Satzband nt
References in periodicals archive ?
Our proposed framework also provides efficient accommodations for t-copulas and Archimedean copulas to capture tail dependence when extreme events occur.
Among their topics are egophoric evidentiality in Bodish languages, perfect experiential constructions: the inferential semantics of direct evidence, Lhasa Tibetan predicates, copulas in Denjongke or Sikkimese Bhutia, observations on factors affecting the distributional properties of evidential markers in Amdo Tibetan, and evidentials in Pingwu Baima.
Scatter plots of pseudo-observations, or approximations of distribution functions ([??] and [??]), from simulations (A) where Markov chains of estimated von Bertalanffy growth function (VBGF) parameters were used directly and (B) where copulas were applied to the posterior distribution of VBGF parameters.
Tenders are invited for supply of manpower to work for Scientific Treatment of Three Sided Rampart Wall facing Chandani Chowk, Copulas, Brass door and stone elephants, Red Fort, Delhi (Independence Day Celebration)
In most cases, bivariate dependence can be accurately modelled by some typical copulas, such as Normal-copula, t-copula and the Archimedean-copula family.
Stober, "Derivatives and Fisher information of bivariate copulas," Statistical Papers, vol.
Shiau, "Fitting drought duration and severity with two-dimensional copulas," Water Resources Management, vol.
Copulas cannot be applied to the time series transformed into a binary form, but the similar goal can be achieved by unconditional and conditional entropy of a single time series (H(xB) and H(xB | xB)) and of the joint time series (H(sB, pB) and H(sB, pB | sB, pB)) as follows:
It is relevant for this study to briefly mention the paths of grammaticalization that involve 3rd person pronouns, which also involve demonstratives, copulas, and focus markers.
Para lograr dicho objetivo, se utiliza una metodologia relativamente reciente y complementaria, que integra dos modelos generalizados autorregresivos con heterocedasticidad condicional (GARCH y TARCH), y la estimacion via copulas.
Properties of Copulas. Not every function C(u, v) is a copula for an appropriate 2D distribution.
In order to get a measure that gives more information about the dependence structure, copulas were preferred to Pearson's correlation coefficient.