A Systematic Comparison of Factors Affecting the Choice of Matrix Language in Three Bilingual Communities

Carter, Diana; Deuchar, Margaret; Davies, Peredur; Couto, M. Carmen Parafita

doi:10.1163/187740911x592808

Cited by 21 publications

(13 citation statements)

References 17 publications

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“…From the 1960s onwards, Miami has undergone an influx of Spanish speakers, resulting in intensive language contact between English and Spanish [23,24]. The first movement of Spanish-speaking immigrants were Cubans that sought to escape the Cuban revolution.…”

Section: Miami Corpusmentioning

confidence: 99%

Determiner Asymmetry in Mixed Nominal Constructions: The Role of Grammatical Factors in Data from Miami and Nicaragua

2017

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This paper focuses on the factors influencing the language of determiners in nominal constructions in two sets of bilingual data: Spanish/English from Miami and Spanish/English creole from Nicaragua. Previous studies (Liceras et al. 2008;Moro Quintanilla 2014) have argued that Spanish determiners are preferred in mixed nominal constructions because of their grammaticised nature. However, those studies did not take the matrix language into account, even though Herring et al. (2010) found that the language of the determiner matched the matrix language. Therefore, we hypothesise that the matrix language is the main influence on the language of the determiner in both mixed and unmixed nominal constructions. The results are consistent with our hypothesis that the matrix language of the clause provides the language of the determiner in mixed and unmixed Determiner Phrases (DPs). Once the matrix language is controlled for, the Miami data show a greater tendency for Spanish determiners to appear in mixed DPs than English determiners. However, in the Nicaragua data, we found only mixed DPs with an English creole determiner. This suggests that bilingual communities do not always follow the same pattern, and that social rather than grammatical factors may be at play. We conclude that while the language of the determiner is influenced by clause-internal structure, that of its noun complement and the matrix language itself depends on extralinguistic considerations.

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Section: Miami Corpusmentioning

confidence: 99%

Determiner Asymmetry in Mixed Nominal Constructions: The Role of Grammatical Factors in Data from Miami and Nicaragua

2017

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“…Previous studies that involved the analysis of data from bilingual corpora (e.g. Broersma, 2009;Broersma & de Bot, 2006;Broersma, Insurin, Bultena, & de Bot, 2009;Carter, Deuchar, Davies, & Parafita Couto, 2011;Davies & Deuchar, 2010;Duran Eppler, 2010;Fernández Fuertes, Liceras, Pérez-Tattam, Martínez, Alba de la Fuente, & Carter, 2006;Herring, Deuchar, Parafita Couto, & Moro Quintanilla, 2010) used manual analysis, which is extremely time-consuming. In the Broersma (2009) study, for example, the analysis of triggered codeswitching in a 2800-word Dutch-English corpus required 250 hours and a team of five people.…”

Section: Triggered Codeswitchingmentioning

confidence: 99%

“…This corpus was collected by two multilingual researchers over two months. All three corpora are available under an open license from the BangorTalk website and have been utilized in several codeswitching studies (see Davies & Deuchar, 2010;Carter et al, 2011;Herring et al, 2010; among others). 3…”

Section: The Miami Patagonia and Siarad Corporamentioning

confidence: 99%

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Applying computing innovations to bilingual corpus analysis

Carter¹,

Broersma²,

Donnelly³

2016

Studies in Bilingualism

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With current innovations in corpus analysis, it is now possible to extract and analyze large amounts of monolingual and bilingual data in minutes, as opposed to the numerous hours previously needed to manually analyze a much smaller quantum of data. In this chapter, we review innovative techniques in bilingual corpus building and analysis, which include the use of automated glossing to allow the extraction of data that can then be statistically analyzed using mixedeffects models. We discuss the application of these techniques, among others, and provide examples from three bilingual corpora. We end by suggesting how researchers may benefit from the increasingly powerful computing capability that is now available.

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“…Stammers & Deuchar, 2012;Carter & Deuchar, 2011;Deuchar et al, forthcoming). Stammers & Deuchar, 2012;Carter & Deuchar, 2011;Deuchar et al, forthcoming).…”

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confidence: 99%

The trouble with World Englishes

Leimgruber¹

2013

English Today

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Ever since the 1980s, when research interest in the field of ‘World Englishes’ began to gather speed, the view of the English language around the world has been largely dominated by the construct of so-called ‘varieties’ of English. These varieties are usually given a geographical label (‘Singapore English’, ‘Welsh English’, ‘South African English’, ‘Fiji English’, etc), and are described in terms of their pronunciation, their grammar, and their vocabulary. The resulting anthologies (see e.g. Wells, 1982; Trudgill & Hannah, 1982; Kortmann et al., 2004) have contributed a lot to our understanding of how English varies globally, as well as to raising the profile of non-inner circle (Kachru, 1985) varieties, which had previously not benefited from as much attention.

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A Systematic Comparison of Factors Affecting the Choice of Matrix Language in Three Bilingual Communities

Cited by 21 publications

References 17 publications

Determiner Asymmetry in Mixed Nominal Constructions: The Role of Grammatical Factors in Data from Miami and Nicaragua

Determiner Asymmetry in Mixed Nominal Constructions: The Role of Grammatical Factors in Data from Miami and Nicaragua

Applying computing innovations to bilingual corpus analysis

The trouble with World Englishes

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