Word frequency and age effects in normally developing children's phonological processing.

G A Troia, F P Roth, G H Yeni-Komshian
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引用次数: 28

Abstract

Eleven kindergarten-age students and 11 second-grade students were asked to perform each of four phonological processing tasks: (a) confrontation naming of object drawings, (b) rapid sequential naming of object drawings and letters, (c) segmentation of words into sounds, and (d) blending sounds to produce words. Response accuracy and, for the picture naming tasks, response latency were measured. In addition, single-word reading ability and silent reading comprehension were evaluated. Results indicated that high-frequency stimuli were named faster and, in one task, more accurately than low-frequency stimuli. Blending sounds to produce high-frequency words was less difficult than blending sounds to produce low-frequency words, but word frequency did not affect sound segmentation performance. Children in second grade generally were faster and more accurate than kindergarten children in naming pictures. They also were able to segment more sounds and correctly blend sounds to produce more target words than kindergarten students. Confrontation naming accuracy, rapid object- and letter-naming latency, and sound segmentation and blending accuracy were intercorrelated and were related to word recognition and to reading comprehension. Serial naming speed was highly related to phonological awareness in kindergarten, whereas confrontation naming accuracy was highly related to phonological awareness in second grade. A limited cognitive resources framework was adopted to interpret these findings.
词频和年龄对正常发育儿童语音加工的影响。
11名幼儿园学生和11名二年级学生分别被要求完成四个语音处理任务:(a)对物体图形进行对位命名,(b)对物体图形和字母进行快速顺序命名,(c)将单词分割成声音,(d)将声音混合成单词。对图片命名任务的反应准确性和反应延迟进行了测量。此外,还对单字阅读能力和默读理解能力进行了评价。结果表明,高频刺激被命名的速度更快,而且在一个任务中,比低频刺激更准确。混合音产生高频词比混合音产生低频词更容易,但词频不影响分音性能。二年级儿童一般比幼儿园儿童更快、更准确地命名图片。与幼儿园的学生相比,他们也能够分割更多的声音,并正确地混合声音,从而产生更多的目标单词。对峙命名正确率、快速物体和字母命名延迟、声音分割和混合正确率相互关联,并与单词识别和阅读理解相关。在幼儿园阶段,连续命名速度与语音意识高度相关,而在二年级阶段,对抗命名准确性与语音意识高度相关。采用有限认知资源框架来解释这些发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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