仍然没有证据表明非母语使用者的比例对自然语言复杂性的影响
1Department of Lexical Studies, Leibniz Institute for the German Language (IDS), 68161 Mannheim, Germany.
Entropy (Basel, Switzerland)
|November 27, 2024
概括
大量的第二语言 (L2) 语言使用者不会影响自然语言的复杂性. 这项研究重申了这些发现,解决了批评,并使用了新的数据和方法来分析语言复杂性.
科学领域:
- 语言学的语言学.
- 计算语言学 计算语言学
- 语言获取 语言获取
背景情况:
- 之前的研究表明,第二语言 (L2) 讲者可能会影响自然语言的复杂性.
- 这项研究解决了对先前对L2讲者影响力的分析的批评.
研究的目的:
- 为了反驳对分析L2说话者对语言复杂性的影响的批评.
- 提出关于语言信息理论复杂性的新数据.
- 用先进的方法重新分析复杂性,考虑模型不确定性和语言关系.
主要方法:
- 分析批评和建议的替代模型.
- 使用多种语言模型 (从统计到神经网络) 估计信息理论复杂性.
- 使用一个包含40个多语言文本集合的数据库.
- 重新分析包括模型不确定性,语言谱系和地理接近.
主要成果:
- 发现批评是基于原始作品中已经解决的观点.
- 替代分析无法经受审查.
- 新的数据和重新分析证实L2扬声器对形态或信息理论复杂性没有显著影响.
- 结果与之前的结论一致,没有显示L2影响的证据.
结论:
- 大量的L2说话人口的存在并不能明显改变自然语言的复杂性.
- 这项研究通过严格的重新检查和新的分析方法来加强早期发现的稳定性.
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