Wayland Ratree, Meyer Rachel, Vellozzi Sophia, Tang Kevin
Department of Linguistics, University of Florida, Gainesville, FL 32611, USA.
Department of Computer & Information Science & Engineering, University of Florida, Gainesville, FL 32611, USA.
Brain Sci. 2024 Sep 21;14(9):946. doi: 10.3390/brainsci14090946.
This study investigated the degrees of lenition, or consonantal weakening, in the production of Spanish stop consonants by native English speakers during a study abroad (SA) program. Lenition is a key phonological process in Spanish, where voiced stops (/b/, /d/, /ɡ/) typically weaken to fricatives or approximants in specific phonetic environments. For L2 learners, mastering this subtle process is essential for achieving native-like pronunciation. To assess the learners' progress in acquiring lenition, we employed Phonet, a deep learning model. Unlike traditional quantitative acoustic methods that focus on measuring the physical properties of speech sounds, Phonet utilizes recurrent neural networks to predict the posterior probabilities of phonological features, particularly sonorant and continuant characteristics, which are central to the lenition process. The results indicated that while learners showed progress in producing the fricative-like variants of lenition during the SA program and understood how to produce lenition in appropriate contexts, the retention of these phonological gains was not sustained after their return. Additionally, unlike native speakers, the learners never fully achieved the approximant-like realization of lenition. These findings underscore the need for sustained exposure and practice beyond the SA experience to ensure the long-term retention of L2 phonological patterns. While SA programs offer valuable opportunities for enhancing L2 pronunciation, they should be supplemented with ongoing support to consolidate and extend the gains achieved during the immersive experience.
本研究调查了以英语为母语者在海外学习(SA)项目中发西班牙语塞音时的弱化程度,即辅音弱化情况。弱化是西班牙语中的一个关键音系过程,在特定语音环境中,浊塞音(/b/、/d/、/ɡ/)通常会弱化为擦音或近音。对于二语学习者来说,掌握这个微妙的过程对于实现类似母语者的发音至关重要。为了评估学习者在习得弱化方面的进展,我们使用了深度学习模型Phonet。与专注于测量语音物理属性的传统定量声学方法不同,Phonet利用循环神经网络来预测音系特征的后验概率,特别是响音和延续特征,这些特征是弱化过程的核心。结果表明,虽然学习者在SA项目期间在发出类似擦音的弱化变体方面取得了进展,并且理解了如何在适当的语境中发出弱化音,但回国后这些音系方面的收获并没有持续保留。此外,与以母语为母语者不同,学习者从未完全实现类似近音的弱化发音。这些发现强调了在SA经历之外需要持续接触和练习,以确保二语音系模式的长期保留。虽然SA项目为提高二语发音提供了宝贵的机会,但应该辅以持续的支持,以巩固和扩展在沉浸式体验中取得的成果。