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True wh-movement and wh-in-situ in one language: Evidence from Colloquial Singapore English

Published online by Cambridge University Press:  26 February 2025

Rachel Tan
Affiliation:
Department of English, Linguistics and Theatre Studies, National University of Singapore
Zheng Shen*
Affiliation:
Department of English, Linguistics and Theatre Studies, National University of Singapore
*
Corresponding author: Zheng Shen; Email: zhengshen522@gmail.com
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Abstract

wh-fronting questions (as in English) are analyzed as wh-movement while wh-in-situ questions (as in Chinese) are analyzed as LF movement or unselective binding. Optionality between the two types of questions is observed in many languages, however, upon closer inspection, a stream of previous literature argues that only one strategy is truly available in any given language. Cheng (1991) and Faure & Palasis (2021) argue that wh-fronting languages in Indonesian and Colloquial French are not derived by wh-movement, while Chang (2016) argues that wh-in-situ questions in Colloquial Singapore English (CSE) are not derived from unselective binding or LF movement but are declarative syntax questions. Bobaljik & Wurmbrand (2015) explicitly propose that a language can either have the true wh-in-situ or the wh-movement strategy, but not both.

This paper uses CSE as a case study and argues that it allows true wh-movement and true wh-in-situ questions. CSE has been argued to only allow wh-movement by some (Chang 2016) and to only allow wh-in-situ by others (Lan 2016). This study experimentally tests the predictions made by these analyses and shows that the patterns are best accounted for if both ‘true’ wh-movement and ‘true’ wh-in-situ questions exist in CSE (see also Sato & Ngui 2017), thus challenging the previous analyses for CSE, and the cross-linguistic generalization in Bobaljik & Wurmbrand 2015.

Information

Type
Research 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
Figure 0

Table 1. Results from Experiment 1, n = 36.

Figure 1

Figure 1. Condition means of raw judgment of Experiment 1, N = 36.

Figure 2

Figure 2. Distribution of condition means by subjects for Experiment 1. Condition means for each participant were calculated based on their two judgments of the conditions.

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Table 2. Results from the cumulative link mixed model, formula: judgment ~ embedding * whStrategy + (1 + embedding * whStrategy | subject) + (1 + embedding * whStrategy | lexical).

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Table 3. Results from the NAE DSQ experiment, n = 35.

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Figure 3. Condition means of raw judgments, N = 35.

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Figure 4. Distribution of conditions means by subject for NAE DSQ experiment, N = 35.

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Table 4. Results from the cumulative link mixed model, formula: judgment ~ embedding * whStrategy + (1 + embedding + whStrategy | subject) + (1 + embedding * whStrategy | lexical).

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Table 5. Results from Experiment 2, n = 36.

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Figure 5. Condition means of raw judgments of Experiment 2, n = 36.

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Figure 6. Distribution of raw judgments of Experiment 2, n = 36.

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Table 6. Experiment 2: results from the cumulative link mixed model, judgment ~ order * whCount + (1 + order * whCount | subject) + (1 + order * whCount | lexical).

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Table 7. Results of Experiment 3, n = 32.

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Figure 7. Condition means of raw judgments of Experiment 3, n = 32.

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Figure 8. distribution of raw judgments of Experiment 3, n = 32.

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Table 8. Formula: Experiment 3 results, formula: judgment ~ isPresence * whStrategy + (1 + isPresence | subject) + (1 + isPresence * whStrategy | lexical).