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Article published In:
Translation, Cognition & Behavior
Vol. 1:2 (2018) ► pp.251–290

Alternations in contact and non-contact varieties

Reconceptualising that-omission in translated and non-translated English using the MuPDAR approach

 | Macquarie University | North-West University
 | Ghent University
The Multifactorial Prediction and Deviation Analysis (MuPDAR) method (Gries & Deshors 2014) represents an influential methodological advance in studying variation in contexts where linguistic choices in a “peripheral” variety (learner language, New Englishes) are studied in relation to the “central” variety. In this article we demonstrate how the method may be extended to study how varieties produced in settings of language contact (including translation) differ from non-contact varieties, particularly with respect to the degree of lexicogrammatical explicitness. We use the method to determine how (dis)similar the factors governing that-omission are in two different types of contact varieties, namely South African translated (trans-SAE) and South African non-translated English (SAE), in relation to British (GBE) English. The results show that the choices made in the contact varieties can be predicted to a reasonable extent, although South African translators and South African non-translators have a higher and lower inclination respectively to use explicit that compared to GBE non-translators. Based on the findings, we re-evaluate the explanations proposed for the increased explicitness of translated language through the frame of language contact, outlining the advantages of multifactorial methods over the frequency-based methods favoured in earlier studies.
Keywords: complementiser omission, explicitation, Multifactorial Prediction and Deviation Analysis (MuPDAR), language contact
Article outline
  • 1.Introduction
  • 2.Explanations for that-omission in translation and other contact-influenced varieties
  • 3.Variationist methods in studies of that-complementiser omission
  • 4.Methodology
    • 4.1Corpora
    • 4.2Data extraction and factor coding
    • 4.3Statistical analysis
  • 5.Results
    • 5.1The central GBE model
    • 5.2Comparison 1: How different is that-realisation in SAE compared to GBE?
    • 5.3Comparison 2: How different is that-realisation in trans-SAE compared to GBE?
    • 5.4Comparison 3: How different is that-realisation in trans-SAE compared to (non-translated) SAE?
  • 6.Discussion and conclusion
  • Notes
  • References
Published online: 27 September 2018
DOI logo
https://doi.org/10.1075/tcb.00011.kru
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