BCBL. Basque Center on Cognition, Brain and Language, Donostia-San Sebastian, Gipuzkoa, Spain.
Universidad del País Vasco, Donostia-San Sebastian, Gipuzkoa, Spain.
J Speech Lang Hear Res. 2023 Feb 13;66(2):635-647. doi: 10.1044/2022_JSLHR-22-00368. Epub 2023 Feb 2.
This study investigates whether crosslinguistic effects on auditory word recognition are modulated by the quality of the auditory signal (clear and noisy).
In an online experiment, a group of Spanish-English bilingual listeners performed an auditory lexical decision task, in their second language, English. Words and pseudowords were either presented in the clear or were embedded in white auditory noise. Target words were varied in the degree to which they overlapped in their phonological form with their translation equivalents and were categorized according to their overlap as cognates (form and meaning) or noncognates (meaning only). In order to test for effects of crosslinguistic competition, the phonological neighborhood density of the targets' translations was also manipulated.
The results show that crosslinguistic effects are impacted by noise; when the translation had a high neighborhood density, performance was worse for cognates than for noncognates, especially in noise.
The findings suggest that noise increases lexical competition across languages, as it does within a language, and that the crosslinguistic phonological overlap for cognates compared with noncognates can further increase the pool of competitors by co-activating crosslinguistic lexical candidates. The results are discussed within the context of the bilingual word recognition literature and models of language and bilingual lexical processing.
本研究考察了跨语言听觉词识别是否受到听觉信号质量（清晰和嘈杂）的调节。
在一项在线实验中，一组西班牙语-英语双语听众在他们的第二语言英语中执行听觉词汇决策任务。单词和伪单词要么在清晰的环境中呈现，要么嵌入在白色的听觉噪声中。目标词在其与翻译等价词的语音形式重叠程度上有所不同，并根据重叠程度分为同形词（形式和意义）和非同形词（仅意义）。为了测试跨语言竞争的影响，还对目标词的翻译的语音近邻密度进行了操纵。
结果表明，跨语言的影响受到噪声的影响；当翻译的近邻密度较高时，同形词的表现比非同形词差，尤其是在噪声环境中。
这些发现表明，噪声会增加跨语言的词汇竞争，就像在一种语言中一样，同形词与非同形词相比，其跨语言的语音重叠会通过共同激活跨语言的词汇候选词来进一步增加竞争词的数量。这些结果在双语词汇识别文献和语言及双语词汇处理模型的背景下进行了讨论。
