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The English conative alternation between complexity effects and lexical biases: a historical perspective

Published online by Cambridge University Press:  13 June 2025

Eva Zehentner*
Affiliation:
English Department, University of Zurich, Zürich, Switzerland
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Abstract

This paper presents an in-depth study of the English conative construction (hit the ball vs hit at the ball), a particular case of variation between NP- and PP-patterns. Approaching the phenomenon from a usage-based, cognitive perspective, the study is interested in the different factors driving this alternation, specifically in the interaction of lexical effects on the one hand and high-level predictors relating to processing complexity on the other hand. More specifically, the paper explores the diachronic dimension of these effects, using corpus data from Middle English to Late Modern English (Penn-Helsinki Corpora of Historical English; 1150–1914). To assess the relative impact of the variables, the study compares the traditionally used methods of collostructional analysis and logistic regression to a more recent tool, namely elastic net regression. The findings ultimately indicate that while complexity does seem to play a role in this alternation, there are also strong lexical effects.

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Type
Article
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (http://creativecommons.org/licenses/by/4.0), which permits unrestricted re-use, distribution and reproduction, provided the original article is properly cited.
Copyright
© The Author(s), 2025. Published by Cambridge University Press
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Table 1. Main semantic differences between the NP- and the PP-pattern in PDE

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Table 2. Three-way distinction of conative PP-types and main features

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Figure 1. Proportions and distributions of categorical and continuous variables in the dataset. (a) proportions of constructional variants, (b) distribution of theme lengths in words (log10 scale), (c) distribution of verb-theme distances in words (log10 scale), (d) proportions of animate vs inanimate theme referents, (e) proportions of definite vs indefinite themes, (f) distribution of verb lemma frequency within the dataset (log10 scale), and (g) distribution of corpus-wide verb lemma frequency (log10 scale).

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Figure 2. Verb lemma associations with either NP-patterns (purple) or PP-patterns (yellow) as indicated by collostructional analyses for ME (top), EME (mid), and LME (bottom). Collocation strength is given on the x-axis, with the vertical dashed line marking the significance threshold conventionally used in collostructional analysis.

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Figure 3. Output of mixed-effects logistic regression models for NP- vs PP-choice in Middle English (left), Early Modern English (centre), and Late Modern English (right), showing the effects of (a) theme length in words (log10 scale), (b) distance between verb and theme in words (log10 scale), (c) theme animacy, (d) theme definiteness, and (e) corpus frequency of the verb lemmas (log10 scale). Significant effects are indicated by asterisks in the plots, following standard conventions (*p<0.05, **p<0.01, ***p<0.001).

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Figure 4. Output of elastic net regression models for NP- vs PP-choice in Middle English (top), Early Modern English (mid) and Late Modern English (bottom); features and feature levels associated with NP-use are in purple, those associated with PP-use in yellow, and removed (non-significant) features in green. The x-axis shows the coefficients of the features (negative values indicate NP-preference, positive values signal PP-bias).

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Table A1. Distinctive collexeme analysis of verb lemmas, verb classes, and verb categories associated with NP vs PP patterns in Middle English

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Table A2. Distinctive collexeme analysis of verb lemmas, verb classes, and verb categories associated with NP vs PP patterns in Early Modern English

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Table A3. Distinctive collexeme analysis of verb lemmas, verb classes, and verb categories associated with NP vs PP patterns in Late Modern English

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Table A4. Output of a mixed-effects logistic regression model for NP/PP-choice in Middle English

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Table A5. Output of a mixed-effects logistic regression model for NP/PP-choice in Early Modern English

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Table A6. Output of a mixed-effects logistic regression model for NP/PP-choice in Late Modern English

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Table A7. Output of an elastic net regression model for NP vs PP-choice (features and coefficients) in Middle English, Early Modern English, and Late Modern English