Schick Johanna, Stoll Sabine
Institute for the Interdisciplinary Study of Language Evolution, University of Zurich, Zurich, Switzerland.
Open Mind (Camb). 2025 Apr 29;9:665-676. doi: 10.1162/opmi_a_00198. eCollection 2025.
Language input is crucial for language learning, with child-directed speech being a strong predictor of language development. Yet, in many non-industrialized rural societies, children are less exposed to this type of input. Instead, children encounter frequent child-surrounding speech from third-party interactions. Little is known about whether and how children learn language from this type of input. By analyzing naturalistic data from children growing up in the Shipibo-Konibo community in the Peruvian Amazon, we demonstrate that despite a high prevalence of child-surrounding input, child-directed input best predicts children's production patterns defined as unigrams. We provide first evidence for remarkable similarities between child-surrounding speech and children's own speech patterns. In addition, we demonstrate that a specific type of input best predicts children's production frequencies across the domains of surrounding and directed input: speech from other children. Together, these findings expand our perspective beyond dyadic adult-child interactions, supporting the view that child-surrounding speech and especially speech from other children provide important learning opportunities.
语言输入对语言学习至关重要,儿童导向型言语是语言发展的有力预测指标。然而,在许多非工业化的农村社会,儿童较少接触到这类输入。相反,儿童在第三方互动中经常遇到围绕儿童的言语。对于儿童是否以及如何从这类输入中学习语言,我们知之甚少。通过分析秘鲁亚马逊地区希皮博-科尼博社区儿童成长过程中的自然主义数据,我们证明,尽管围绕儿童的输入很普遍,但儿童导向型输入最能预测儿童以单字为定义的产出模式。我们首次提供证据表明,围绕儿童的言语与儿童自身的言语模式之间存在显著相似性。此外,我们证明,一种特定类型的输入最能预测儿童在围绕儿童和导向型输入领域的产出频率:来自其他儿童的言语。这些发现共同拓展了我们超越成人与儿童二元互动的视角,支持了这样一种观点,即围绕儿童的言语,尤其是来自其他儿童的言语提供了重要的学习机会。