A corpus-based developmental investigation of linguistic complexity in children's writing

被引:1
|
作者
Hsiao, Yaling [1 ]
Dawson, Nicola J. [2 ]
Banerji, Nilanjana [3 ]
Nation, Kate [2 ]
机构
[1] Univ Birmingham, Birmingham, England
[2] Univ Oxford, Oxford, England
[3] Oxford Univ Press, Oxford, England
来源
APPLIED CORPUS LINGUISTICS | 2024年 / 4卷 / 01期
关键词
Lexical development; Grammatical development; Writing development; Corpus analysis; Linguistic complexity; Principal component analysis; T-UNIT ANALYSIS; SYNTACTIC COMPLEXITY; LANGUAGE; QUALITY; VOCABULARY; FREQUENCY; COMPREHENSION; ACQUISITION; PROFICIENCY; GRAMMAR;
D O I
10.1016/j.acorp.2024.100084
中图分类号
H0 [语言学];
学科分类号
030303 ; 0501 ; 050102 ;
摘要
Writing proficiency is associated with linguistic complexity. We used measures of linguistic complexity to investigate the development of children's narrative writing using a large corpus of short stories (N>100,000) written by children aged 5-13 in the UK. Linguistic complexity was assessed using both lexical (N = 30) and syntactic (N = 14) measures. Most measures were associated with age, with writing by older children showing greater lexical density, sophistication, and diversity than writing by younger children. Older children also used longer sentences, and longer T-units and clauses, and the density of smaller syntactic units inside larger units was also higher. Principal Component Analysis identified a number of dimensions associated with complexity, with the first two dimensions capturing nearly 50 % of variance. Lexical diversity was mainly represented on the first dimension and syntactic complexity on the second. Across the age range, there was wider variation in syntactic complexity than in lexical diversity, suggesting that syntactic development is subject to more individual differences than the ability to use a diverse set of lexical items. Our findings quantify the nature and content of children's writing through mid-childhood, and we discuss the utility of analysing children's writing using a computational, data-driven approach.
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页数:14
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