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Phonological-based errors on writing: coding of voiced and voiceless phonemes, segmentation and word junction

机译:基于语音的书写错误:有声和无声音素的编码,分段和单词连接

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摘要

PurposeThe present study investigated the characteristics of phonological information processing as manifested in the writing of dictated syntagmas, capable of indicating possible correlations and the predictive impact between the analyzed orthography errors (coding of voiced and voiceless phonemes, undue segmentation and word junction) according to the school system. MethodEighty children from both genders, aged between 6 and 11 years, were selected from those regularly enrolled between the 2nd and 5th years of primary education, in both public and private schools in the municipality of São Paulo. The participants wrote, as dictated to them, 34 noun syntagmas composed of high frequency words. ResultThe three types of error were correlated with one another according to different patterns in each school system. In the public schools, voice-voiceless coding errors and undue segmentations were positively correlated. Perception characteristics directed to the metric foot and the syllable might have influenced the children’s performance. As for the results in private schools, the perception of the phonological word, phonological phrase and intonational phrase might have influenced the correlations between errors of the voiced-voiceless type and junctions. ConclusionVoiced-voiceless coding errors, word junction and undue separation manifested differently between private and public schools, regarding writing performance. Only in private schools could the voiced-voiceless coding errors predict those of word junction and hypersegmentation.
机译:目的本研究调查了口述共语的写作中所表现出的语音信息处理的特征,能够根据所分析的拼字错误(有声和无声音素的编码,不适当的分段和单词连接)指示可能的相关性和预测影响。学校系统。方法从圣保罗市公立和私立学校的初等教育第二年至第五年之间定期入学的儿童中选出8名年龄在6至11岁之间的男女。参与者根据指示写下了34个由高频词组成的名词共语。结果三种类型的错误根据每个学校系统的不同模式相互关联。在公立学校中,无声语音编码错误和不适当的分段正相关。针对公尺英尺和音节的感知特征可能影响了孩子的表现。至于私立学校的成绩,对语音字,语音短语和国际化短语的理解可能影响了浊音类型错误和交界之间的相关性。结论就写作表现而言,公立和私立学校之间的清音编码错误,单词连接和不适当的分离表现出不同的表现。只有在私立学校中,无声语音编码错误才能预测单词连接和超音段错误。

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