扩展SyllabO+语料库和数据库:单词,定理和形态学
Noémie Auclair-Ouellet1, Alexandra Lavoie2,3, Pascale Bédard2
1School of Communication Sciences and Disorders, McGill University, Montréal, QC, Canada.
Behavior research methods
|January 8, 2025
概括
这项研究扩展了北克法语的SyllabO+集体,分析了单词结构和语义透明度. 结果显示了透明度的变化,并支持了第二语言熟练程度和形态处理之间的联系.
科学领域:
- 心理语言学 心理语言学
- 语料库的语言学.
- 词汇语义上的语义学 词汇语义上的语义学
背景情况:
- 详细的心理语言特性对于受控语言实验至关重要.
- 现有的数据库对于某些语言和区域变种而言是有限的,例如北克法语.
- SyllabO+集体最初是为北克法语口语的语音和语法分析而开发的.
研究的目的:
- 扩大 SyllabO+ 语料库,增加更多的讲者和额外的语言数据库.
- 分析独特单词的内部结构,包括根,后和化合物.
- 调查北克法语中衍生词语的语义透明度及其与社会人口统计学变量及其第二语言能力的关系.
主要方法:
- 扩大了SyllabO+语料库,使其达到225名讲者.
- 创建了新的数据库,用于独特的单词,定理和形态表达式 (折叠式,衍生式,化合物).
- 分析了单词的内部结构,并从441名北克法语说话者中收集了3764个衍生词的语义透明度等级.
主要成果:
- 语义透明度评级显示出显著的个体间差异,特别是对于中等透明度的单词.
- 没有观察到社会人口统计学变量对透明度评级的影响.
- 透明度模式与现有研究一致,表明后词比前词更透明. 第二种语言的熟练程度与形态处理相关.
结论:
- 扩展的SyllabO+集体为北克法语心理学语言学研究提供了宝贵的资源.
- 衍生词语的语义透明度是复杂和可变的,受到词语结构而不是人口统计学的影响.
- 研究结果强调了第二语言学习,形态处理和文字透明度之间的联系.
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