This study proposes a new methodology for determining the relationship between child-directed speech and child speech in early acquisition. It illustrates the use of this methodology in investigating the relationship between the morphological richness of child-directed speech and the speed of morphological development in child speech. Both variables are defined in terms of mean size of paradigm (MSP) and estimated in a set of longitudinal spontaneous speech corpora of nine children and their caretakers. The children are aged 1;3–3;0, acquiring nine different languages that vary in terms of morphological richness. The main result is that the degree of morphological richness in child-directed speech is positively related to the speed of development of noun and verb paradigms in child speech.
This paper evaluates the contribution of external background factors which pertain to the child’s environment (e.g., parent education, parent occupation, family size, etc.), and internal ones which reflect the child’s time related experience with language (e.g., chronological age, age of L2 onset, etc.) to the development of linguistic skills in the two languages of bilingual children. 65 Russian-German (Mean age: 66mo, Range: 47-86mo) and 78 Russian-Israeli migrant children (Mean age: 70mo, Range: 58-81) with comparable mean length of L2 exposure (M=37mo) and family size (1.88 children) but different Socio-Economic Status (SES), were tested with a battery of language and their parents were interviewed.. Overall, internal, temporal, factors showed a stronger relationship to language measures than external, environmental, factors: age of L2 onset and length of L2 exposure correlated with L2, while parents’ education/occupation showed positive correlations with both L1 and L2 measures. In the Russian-German cohort, which had a sub-group with relatively lower SES, SES positively correlated with L1 success as well.
The goal of this study was to trace the dual language development of the narrative macrostructure in three age groups of Russian–German bilingual children and to compare the performance of simultaneous and sequential bilinguals. Fine-grained analyses of macrostructure included three components: story structure, story complexity, and internal state terms. Oral narratives were elicited via the Multilingual Assessment Instrument for Narratives. Fifty-eight Russian–German speaking bilingual children from three age groups participated: preschoolers (mean age = 45 months) and elementary school pupils (mean age first grade = 84 months, mean age third grade = 111 months); and there were 34 simultaneous and 24 sequential bilinguals. The results showed significant improvement for all three components of macrostructure between the preschool and first-grade period. Additional significant development from first to third graders was found only for story complexity in Russian. This is explained by the Russian curriculum explicitly teaching narrative skills during early literacy training. In the two older groups, simultaneous bilinguals showed advantages over sequential bilinguals, for story complexity only. This finding suggests considering bilingual type when evaluating narrative skills of bilinguals. The results indicate cross-language association of only some components of narrative score across languages. The findings support the examination of various constituents of macrostructure when evaluating its development as well as the progression of narrative skills.
Two studies examined the effects of age, gender, and task on Turkish narrative skills of Turkish–German bilingual children. In Study 1, 36 children (2 years, 11 months [2;11]–7;11) told stories in two conditions (“tell-after model” and “tell-no model”) and answered comprehension questions. In Study 2, 13 children (5;5–7;11) participated in two conditions (“tell-no model” and “retell”) and were compared to Study 1 participants’ on tell tasks. The studies showed significant age effects on story complexity and comprehension, but not story structure and internal state terms. There were no significant effects for gender. Comprehension was significantly better in the “tell-after model” than in the “tell-no model” condition (Study 1). For production (storytelling), a trend favoring retell over tell was found (Study 2).
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