Abstract

Perception of a nonnative language (L2) is known to be affected by crosslinguistic transfer from a listener’s native language (L1), but the relative importance of L1 transfer vis-a-vis individual learner differences remains unclear. This study explored the hypothesis that the nature of L1 transfer changes as learners gain experience with the L2, such that individual differences are more influential at earlier stages of learning and L1 transfer is more influential at later stages of learning. To test this hypothesis, novice L2 learners of Korean from diverse L1 backgrounds were examined in a pretest-posttest design with respect to their perceptual acquisition of novel L2 consonant contrasts (the three-way Korean laryngeal contrast among lenis, fortis, and aspirated plosives) and vowel contrasts (/o/-/ʌ/, /u/-/ɨ/). Whereas pretest performance showed little evidence of L1 effects, posttest performance showed significant L1 transfer. Furthermore, pretest performance did not predict posttest performance. These findings support the view that L1 knowledge influences L2 perception dynamically, according to the amount of L2 knowledge available to learners at that time. That is, both individual differences and L1 knowledge play a role in L2 perception, but to different degrees over the course of L2 development.

Highlights

  • MethodsThe study received ethical approval from the Institutional Review Board

  • Background roups are summarized inTable in 3

  • individual differences (IDs) were confounded with L1

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Summary

Methods

The study received ethical approval from the Institutional Review Board To determine the number of participants to recruit for the study, we carried out a power analysis anticipating multiple regression models with up to eight coefficients apart from the intercept (accounting for group and category predictors consisting of up to three levels, along with interaction coefficients) and assuming 80% power, an alpha level of 0.05, and a model r2 of 0.24 (based on exploratory modeling of pilot data). Using pwr.f2.test() in the pwr package (Champely 2018) in R (R Development Core Team 2020), we determined the target number of participants to be approximately 56, so we recruited participants until we reached a final sample of at least 56 participants

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