对于单词细分,是否存在双语的缺点? 一种计算建模方法
Laia Fibla1,2, Nuria Sebastian-Galles3, Alejandrina Cristia2
1School of Psychology, The University of East Anglia, UK.
Journal of child language
|December 10, 2024
概括
计算建模显示,与单语儿童相比,对双语儿童来说,单词细分并不显著困难. 算法和语言差异对细分性能的影响比双语本身更大.
科学领域:
- 认知科学 认知科学
- 计算语言学 计算语言学
- 发展心理学 发展心理学
背景情况:
- 单词细分,在连续演讲中识别单词界限,是语言学习的一个基本挑战.
- 这种挑战尤其明显,因为口语中单词之间没有明确的暂停.
研究的目的:
- 以计算方式建模并评估双语婴儿与单语婴儿相比,单词细分的难度.
- 研究语言相似性和算法方法对不同语言环境中的单词细分性能的影响.
主要方法:
- 利用了七种不同的计算算法,代表了对单词细分的各种认知方法.
- 将这些算法应用于自然主义语音体,创建匹配的单语和双语数据集.
- 语言对之间的语音和词汇重叠变化 (例如,加泰罗尼亚语/西班牙语与英语/西班牙语),以模拟不同的双语暴露场景.
主要成果:
- 跨细分算法的性能变化是影响结果的最重要因素.
- 语言差异也对细分性能产生了重大影响.
- 发现,双语对单词细分难度的影响小于所使用的算法和语言本身的影响.
结论:
- 与某些假设相反,双语本身并不比单语对单词细分提出更大的挑战.
- 计算建模为影响早期语言学习的因素提供了有价值的见解,突出了算法方法和语言特征的重要性.
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