Beyond bigrams: call sequencing in the common marmoset (Callithrix jacchus) vocal system.

IF 2.9 3区 综合性期刊 Q1 MULTIDISCIPLINARY SCIENCES Royal Society Open Science Pub Date : 2024-11-06 eCollection Date: 2024-11-01 DOI:10.1098/rsos.240218
Alexandra B Bosshard, Judith M Burkart, Paola Merlo, Chundra Cathcart, Simon W Townsend, Balthasar Bickel
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Abstract

Over the last two decades, an emerging body of research has demonstrated that non-human animals exhibit the ability to combine context-specific calls into larger sequences. These structures have frequently been compared with language's syntax, whereby linguistic units are combined to form larger structures, and leveraged to argue that syntax might not be unique to language. Currently, however, the overwhelming majority of examples of call combinations are limited to simple sequences comprising just two calls which differ dramatically from the open-ended hierarchical structuring of the syntax found in language. We revisit this issue by taking a whole-repertoire approach to investigate combinatoriality in common marmosets (Callithrix jacchus). We use Markov chain models to quantify the vocal sequences produced by marmosets providing evidence for structures beyond the bigram, including three-call and even combinations of up to eight or nine calls. Our analyses of these longer vocal sequences are suggestive of potential further internal organization, including some amount of recombination, nestedness and non-adjacent dependencies. We argue that data-driven, whole-repertoire analyses are fundamental to uncovering the combinatorial complexity of non-human animals and will further facilitate meaningful comparisons with language's combinatoriality.

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超越大构词法:普通狨猴(Callithrix jacchus)发声系统中的叫声排序。
在过去的二十年里,大量新兴的研究表明,非人类动物表现出了将特定语境下的叫声组合成更大序列的能力。这些结构经常被拿来与语言的句法进行比较,即语言单位被组合成更大的结构,并被用来论证句法可能不是语言所独有的。然而,目前绝大多数调用组合的例子都仅限于由两个调用组成的简单序列,这与语言中开放式分层结构的句法大相径庭。我们重新审视了这一问题,采用全序列方法来研究普通狨猴(Callithrix jacchus)的组合性。我们使用马尔可夫链模型对狨猴发出的发声序列进行量化,从而为大构词法以外的结构提供了证据,包括三叫声甚至多达八或九叫声的组合。我们对这些较长发声序列的分析表明了潜在的进一步内部组织,包括一定程度的重组、嵌套和非相邻依赖性。我们认为,以数据为驱动的全序列分析是揭示非人类动物组合复杂性的基础,并将进一步促进与语言的组合性进行有意义的比较。
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来源期刊
Royal Society Open Science
Royal Society Open Science Multidisciplinary-Multidisciplinary
CiteScore
6.00
自引率
0.00%
发文量
508
审稿时长
14 weeks
期刊介绍: Royal Society Open Science is a new open journal publishing high-quality original research across the entire range of science on the basis of objective peer-review. The journal covers the entire range of science and mathematics and will allow the Society to publish all the high-quality work it receives without the usual restrictions on scope, length or impact.
期刊最新文献
Heliconius butterflies use wide-field landscape features, but not individual local landmarks, during spatial learning. Appreciation of singing and speaking voices is highly idiosyncratic. A first vocal repertoire characterization of long-finned pilot whales (Globicephala melas) in the Mediterranean Sea: a machine learning approach. Beyond bigrams: call sequencing in the common marmoset (Callithrix jacchus) vocal system. Enhancing biodiversity: historical ecology and biogeography of the Santa Catalina Island ground squirrel, Otospermophilus beecheyi nesioticus.
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