NSP-SCD:在未经研究的语言中为儿童定向打印提供一个语料库构建协议
Sonali Nag1, Sunila John2, Aakash Agrawal3,4
1Department of Education, University of Oxford, Oxford, UK. sonali.nag@education.ox.ac.uk.
Behavior research methods
|February 16, 2024
概括
开发用于儿童语言学习研究的小型机构是具有挑战性的. 一个用于小语料库开发的非顺序采样协议 (NSP-SCD) 有效地接近较大的语料库,帮助研究资源不足的语言.
科学领域:
- 心理语言学 心理语言学
- 语料库的语言学.
- 儿童语言获取 儿童语言获取
背景情况:
- 系统的心理语言学研究需要儿童指导的印刷体,这对于研究不足的语言来说很少.
- 研究人员通常依赖于手动标记,因为这些语言缺乏自动分析器.
- 小型机体是一个潜在的解决方案,但它们的强度并未得到充分理解.
研究的目的:
- 评估一个非顺序采样协议的小体发展 (NSP-SCD) 的有效性.
- 评估使用NSP-SCD创建的小型语料库的词汇和拼写属性.
- 为了比较NSP-SCD的效率与小型体结构的传统采样方法.
主要方法:
- 使用NSP-SCD从一个更大的儿童图书 (3-10岁) 图书库 (150,595字) 中创建了一个小的语料库 (17,584字).
- 进行了跨体和体内分析,以比较小型和大型体.
- 分析了词汇多样性,拼写表示,单词长度和心理语言复杂性.
- 通过比较NSP-SCD与来自有限数量的书籍的相同大小的语料库来检查强度.
主要成果:
- 小的语料库接近于大语料库的词汇和拼写多样性.
- 小语料库在正写表示和单词长度方面与较大的语料库相当.
- 心理语言复杂性因书籍水平和语音部分而异.
- 对于词汇多样性来说,NSP-SCD比同样大小的几个书籍的语料库更有效.
结论:
- 针对小群体发展的非顺序采样协议 (NSP-SCD) 是创建具有代表性的小群体的一个有前途的方法.
- 从各级书籍中分层抽样增强了库统计数据,使其接近较大的库.
- 该协议可以通过允许更强大的语料库创建来推进未经研究的语言的儿童语言获取研究.
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