超越bigrams:通话测序在常见的马尔莫塞特 (Callithrix jacchus) 声系统
Alexandra B Bosshard1,2,3, Judith M Burkart2,3, Paola Merlo4,5
1Department of Comparative Language Science, University of Zurich, Zurich, Switzerland.
Royal Society open science
|November 7, 2024
概括
常见的海将呼叫结合成复杂的序列,挑战了只有人类使用语法的想法. 这项研究揭示了比简单的配对更复杂的声音结构,表明非人类动物具有先进的组合能力.
科学领域:
- 动物沟通动物沟通
- 生物声学是一种生物声学.
- 比较语言学的语言学.
背景情况:
- 非人类的动物可以将呼叫组合成序列,促使与人类语言语法进行比较.
- 以前的研究主要集中在简单的双调用序列上,与语言的复杂等级结构不同.
- 人类语言中语法能力的独特性仍然是认知科学的关键问题.
研究的目的:
- 通过使用全曲目方法来研究常见的马尔莫塞特声调中的组合性.
- 为了确定马尔莫塞特呼叫序列是否表现出超出简单配对的复杂性.
- 提供数据驱动的分析来比较动物与人类语言的沟通.
主要方法:
- 利用马尔科夫链模型来分析常见的鱼 (Callithrix jacchus) 的声序.
- 在整个声乐谱中量化了呼叫组合的结构和长度.
- 检查了更长的声序,以寻找内部组织和依赖的证据.
主要成果:
- 标识了海的声乐结构,超出了两次呼叫序列 (比格拉姆).
- 发现了三次呼叫组合和更长的序列的证据,最多有八到九次呼叫.
- 分析表明潜在的内部组织,包括重组和非相邻的依赖关系.
结论:
- 马尔莫塞特的发声表现出以前被低估的组合复杂性.
- 基于数据的全谱分析对于理解动物交流的复杂性至关重要.
- 这些发现有助于比较非人类动物的组合能力与人类语言语法.
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