Gustison Morgan L, Semple Stuart, Ferrer-I-Cancho Ramon, Bergman Thore J
Department of Psychology, University of Michigan, Ann Arbor, MI 48109;
Centre for Research in Evolutionary, Social and Interdisciplinary Anthropology, University of Roehampton, London SW15 4JD, United Kingdom;
Proc Natl Acad Sci U S A. 2016 May 10;113(19):E2750-8. doi: 10.1073/pnas.1522072113. Epub 2016 Apr 18.
Identifying universal principles underpinning diverse natural systems is a key goal of the life sciences. A powerful approach in addressing this goal has been to test whether patterns consistent with linguistic laws are found in nonhuman animals. Menzerath's law is a linguistic law that states that, the larger the construct, the smaller the size of its constituents. Here, to our knowledge, we present the first evidence that Menzerath's law holds in the vocal communication of a nonhuman species. We show that, in vocal sequences of wild male geladas (Theropithecus gelada), construct size (sequence size in number of calls) is negatively correlated with constituent size (duration of calls). Call duration does not vary significantly with position in the sequence, but call sequence composition does change with sequence size and most call types are abbreviated in larger sequences. We also find that intercall intervals follow the same relationship with sequence size as do calls. Finally, we provide formal mathematical support for the idea that Menzerath's law reflects compression-the principle of minimizing the expected length of a code. Our findings suggest that a common principle underpins human and gelada vocal communication, highlighting the value of exploring the applicability of linguistic laws in vocal systems outside the realm of language.
识别支撑多样自然系统的普遍原理是生命科学的一个关键目标。实现这一目标的一个有效方法是测试在非人类动物中是否能发现与语言规律一致的模式。门泽拉斯定律是一条语言规律,它表明,结构越大,其组成部分的规模越小。在此,据我们所知,我们首次提供证据表明门泽拉斯定律在一种非人类物种的声音交流中成立。我们发现,在野生雄性狮尾狒(草原狒狒)的声音序列中,结构规模(叫声数量表示的序列规模)与组成部分规模(叫声时长)呈负相关。叫声时长不会随其在序列中的位置而显著变化,但叫声序列组成确实会随序列规模而改变,并且大多数叫声类型在较长序列中会被简化。我们还发现,叫声间隔与序列规模的关系和叫声与序列规模的关系相同。最后,我们为门泽拉斯定律反映压缩——即最小化编码预期长度的原则这一观点提供了形式化的数学支持。我们的研究结果表明,人类和狮尾狒的声音交流有一个共同的原理,凸显了探索语言规律在语言领域之外的声音系统中的适用性的价值。