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The changing future: competition, specialization and reorganization in the contemporary English future temporal reference system

Published online by Cambridge University Press:  31 January 2017

DEREK DENIS
Affiliation:
Department of Linguistics, University of Victoria, PO Box 1700 STN CSC, Victoria BC V8W 2Y2, Canadaddenis@uvic.ca
SALI A. TAGLIAMONTE
Affiliation:
Department of Linguistics, University of Toronto, 100 St George Street, Room 4077, Sidney Smith Hall, Toronto, Ontario M5S 3H1, Canadasali.tagliamonte@utoronto.ca
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Abstract

The English future temporal reference system has long been recognized as a variable system undergoing change. The main variants in contemporary English (will and be going to) have both been argued to have gone through (and to potentially still be undergoing) grammaticalization. At the same time, be going to has been gradually increasing in frequency relative to will over the last 500 years. However, investigation of the ongoing development of this system has been sparse. This article makes use of a large contemporary sociolinguistic corpus of a mainstream variety of North American English and the apparent-time construct. Several factors that have been implicated in the development of this system (Sentence Type, Clause Type, Proximity, Verb Type, and the Animacy and Grammatical Person of the Subject) are considered and a multiplex series of changes are uncovered. Underlying an overall, albeit slow, change in frequency towards be going to, we find evidence for specialization of one or the other variant in different linguistic contexts, neutralization of a constraint consistent with ongoing loss of variant nuances through semantic bleaching, and the persistence of constraints consistent with morphological doublet competition.

Information

Type
Research Article
Copyright
Copyright © Cambridge University Press 2017 
Figure 0

Figure 1. Cross-variety comparison of the proportion of BGT in fourteen speech communities

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Figure 2. Apparent-time trajectory of BGT vs will in the TEA. Circle size corresponds to the number of tokens in each age group

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Figure 3. Three hypothetical trajectories of change

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Figure 4. Proportion and probability of BGT by sentence type

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Figure 5. Proportion and probability of BGT by clause type

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Figure 6. Overall proportion of BGT by temporal proximity breaks

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Figure 7. Proportion and probability of BGT by temporal proximity

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Figure 8. Proportion and probability of BGT by type of verb (non motion vs motion)

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Figure 9. Proportion and probability of BGT by animacy and grammatical person of subject

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Figure 10. Conditional inference tree on the proportion of BGT and will considering the factors of sentence type, clause type and age

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Table 1. Mixed-effects logistic regression on the realization of BGT vs will by main effects Age (continuous), Sentence Type (reference level = Affirmative), Clause Type (Main), Proximity (Distal), Verb Type (Motion) and Animacy/Grammatical Person of the Subject (Animate), the interaction of Age and Animacy/Grammatical Person. A random intercept for speaker is included. Treatment contrast coding. Coefficients presented as log-odds. N=1998.

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Figure 11. The effect of Animacy/Grammatical Person of the Subject in comparative perspective