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Segment count and weight in y-adjective comparatives: inroads that bite off more than one can chew!

Published online by Cambridge University Press:  11 October 2022

DEBORAH CHUA*
Affiliation:
National Institute of Education Nanyang Technological University NIE3-B1-19 1 Nanyang Walk Singapore 637616 Singapore debchua2004@gmail.com deborah.chua@nie.edu.sg
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Abstract

Adjectival syllable count, often used to predict English comparatives more versus -er, is of little help in predicting the comparatives of adjectives ending in <y>, pronounced /i/, here called the y-adjectives. Examples of y-adjectives include silly and worthy. This article considers whether the phonemic segment count (segment count) and penultimate syllable weight (penultimate weight) of y-adjectives may serve as alternatives to syllable count in predicting more versus -er. The segment count and penultimate weight of relevant y-adjective tokens from a set of diachronic corpora are studied, alongside the tokens’ morphological complexity and period of occurrence in two separate, parallel sets of mixed-effects models. Syllabification principles for penultimate weight coding differentiate the two sets of modelling. Findings converge on segment count as a predictor of the comparative form, while the role of morphological complexity remains less clear, emerging significantly from one set of modelling but not the other. A rethinking of adjectival length based on segment count is advanced for our understanding of y-adjective comparatives. Discussed also are downstream implications of variant syllabification theories on accounts of y-adjective comparatives, together with insights shed on morphophonological intersections and the potential place of English y-adjective comparatives within the ambit of English alternations.

Information

Type
Research Article
Copyright
Copyright © The Author(s), 2022. Published by Cambridge University Press
Figure 0

Table 1. Examples of penultimate weight variation in y-adjectives

Figure 1

Table 2. English coda consonant inventory

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Table 3. Cross-tabulation of token counts of y-adjectives between penultimate weight and segment count

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Table 4. Correlation matrix of all IVs (centred) proposed for inclusion in MEMs of dataset-MOP

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Table 5. Effects considered for the comparative forms of y-adjectives indicated from seven mixed effects models; Model 4-MOP accepted as most explanatory, dataset-MOP

Figure 5

Table 6. Effects considered for the comparative forms of y-adjectives indicated from seven mixed effects models; Model 7-Wells accepted as most explanatory, dataset-Wells

Figure 6

Figure 1. Graph of the effect of period in Model 4-MOP, dataset-MOPNotes: The spans in years represented by each period along the x-axis are as follows: period 1 (1601–50); period 2 (1651–1700); period 3 (1701–50); period 4 (1751–1800); period 5 (1801–50); period 6 (1851–1900); and period 7 (1901–50). Values along the y-axis approaching 1.0 indicate a comparative -er tendency, and those approaching 0.0, a comparative more tendency.

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Figure 2. Graph of the interaction effect between segment count and morphology in Model 4-MOP, dataset-MOPNotes: Segment counts exclude the final /i/ consistently found in y-adjectives. An example of a simple adjective is silly, and a complex one, lucky. Values along the y-axis approaching 1.0 indicate a comparative -er tendency, and those approaching 0.0, a comparative more tendency.

Figure 8

Figure 3. Graph of the effect of period in Model 7-Wells, dataset-WellsNotes: The spans in years represented by each period along the x-axis are as follows: period 1 (1601–50); period 2 (1651–1700); period 3 (1701–50); period 4 (1751–1800); period 5 (1801–50); period 6 (1851–1900); and period 7 (1901–50). Values along the y-axis approaching 1.0 indicate a comparative -er tendency, and those approaching 0.0, a comparative more tendency.

Figure 9

Figure 4. Graph of the effect of segment count in Model 7-Wells, dataset-WellsNotes: Segment counts exclude the final /i/ consistently found in y-adjectives. Values along the y-axis approaching 1.0 indicate a comparative -er tendency, and those approaching 0.0, a comparative more tendency.