分析南非儿童口语叙事特征，找出发育迟缓早期预警信号。
Feature-based analysis of oral narratives from Afrikaans and isiXhosa children
- 用简单机器学习分析4-5岁儿童口述故事特征。
- 词汇多样性与话语长度是典型发育关键指标。
- 特定动词使用预示干预需求降低，适合多语言评估参考。
口语叙事能力是未来读写发展的强预测因子。本研究分析专家判定需干预的4至5岁阿非利卡语和科萨语儿童口述故事。采用简单机器学习方法，发现词汇多样性（独特词汇数）和话语平均长度为典型发育指标，而发音速率等特征信息量较低。尽管语法结构存在跨语言差异，但目标导向叙事中特定动词与助动词的使用频率与干预需求降低显著相关。对两种语言特征的分析揭示了语言特异性和共性预测因子，为多语言环境中早期评估提供依据。
原文摘要 · Abstract (English)
Oral narrative skills are strong predictors of later literacy development. This study examines the features of oral narratives from children who were identified by experts as requiring intervention. Using simple machine learning methods, we analyse recorded stories from four- and five-year-old Afrikaans- and isiXhosa-speaking children. Consistent with prior research, we identify lexical diversity (unique words) and length-based features (mean utterance length) as indicators of typical development, but features like articulation rate prove less informative. Despite cross-linguistic variation in part-of-speech patterns, the use of specific verbs and auxiliaries associated with goal-directed storytelling is correlated with a reduced likelihood of requiring intervention. Our analysis of two linguistically distinct languages reveals both language-specific and shared predictors of narrative proficiency, with implications for early assessment in multilingual contexts.
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