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Statistics versus semantics: retreating from the dative overgeneralization errors by Chinese EFL learners

Published online by Cambridge University Press:  12 April 2024

Keshu Xiang
Affiliation:
Foreign Languages School, Guangxi Medical University, Nanning, Guangxi, China
Jianhui Wei*
Affiliation:
Foreign Languages School, Guangxi Medical University, Nanning, Guangxi, China
Yuanyan Chen
Affiliation:
Editorial Office of Journal of Guangxi Medical University, Guangxi Medical University, Nanning, Guangxi, China
*
Corresponding author: Jianhui Wei; Email: jianhui_wei1990@163.com
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Abstract

This study investigated the effects of entrenchment, preemption, verb semantics, and morphophonological constraints in Chinese EFL (English as a Foreign Language) learners’ retreat from the overgeneralization errors of English dative alternations. Two groups of Chinese EFL learners rated the acceptability of 66 dative verbs in their well and ill forms. The results demonstrated that Chinese EFL learners were simultaneously sensitive to the multiple cues from entrenchment, preemption, semantic, and morphophonological constraints, indicating that Chinese EFL learners restricted the generalization of the dative alternation by utilizing both the statistical verb-bias information and semantic properties of the dative verbs. Moreover, the sensitivity of Chinese EFL learners to these constraints increases with the improvement of their English proficiency. These results validated the usage-based approaches to second language acquisition and provided an answer to the “Baker’s Paradox.”

Information

Type
Original Article
Copyright
© The Author(s), 2024. Published by Cambridge University Press
Figure 0

Figure 1. The linking rules between the syntactic argument part and the semantic part (adapted from Pinker, 2013, p74).

Figure 1

Table 1. Participants’ self-evaluating English proficiency: Means (standard deviations)

Figure 2

Figure 2. Relationship between entrenchment and participants’ raw sentence ratings on the 5-point scale.

Figure 3

Figure 3. Relationship between preemption and participants’ raw sentence ratings on the 5-point scale.

Figure 4

Table 2. Results of the best-fit model of multifactorial analyses (combine all learners)

Figure 5

Table 3. Results of the best-fit model of multifactorial analyses (by group)

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