Oganyan Marina, Wright Richard A
Department of Linguistics, University of Washington, Seattle, WA 98195, USA.
Brain Sci. 2022 Jun 7;12(6):750. doi: 10.3390/brainsci12060750.
Very few studies have investigated online spoken word recognition in templatic languages. In this study, we investigated both lexical (neighborhood density and frequency) and morphological (role of root morpheme) aspects of spoken word recognition of Hebrew, a templatic language, using the traditional gating paradigm. Additionally, we compared the traditional gating paradigm with a novel, phoneme-based gating paradigm. The phoneme-based approach allows for better control of information available at each gate. We found lexical effects with high-frequency words and low neighborhood density words being recognized at earlier gates. We also found that earlier access to root-morpheme information enabled word recognition at earlier gates. Finally, we showed that both the traditional gating paradigm and gating by phoneme paradigm yielded equivalent results.
极少有研究调查过模板语言中的在线口语单词识别。在本研究中,我们使用传统的选通范式,研究了希伯来语(一种模板语言)口语单词识别的词汇(邻域密度和频率)和形态(词根语素的作用)方面。此外,我们将传统选通范式与一种新颖的基于音素的选通范式进行了比较。基于音素的方法能够更好地控制每个选通点可用的信息。我们发现高频词和邻域密度低的词在较早的选通点被识别,存在词汇效应。我们还发现,较早获取词根语素信息能够在较早的选通点实现单词识别。最后,我们表明传统选通范式和基于音素的选通范式产生了等效的结果。