2021
DOI: 10.1101/2021.06.16.448679
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From collocations to call-ocations: using linguistic methods to quantify animal call combinations

Abstract: Emerging data in a range of non-human animal species have highlighted a latent ability to combine certain pre-existing calls together into larger structures. Currently, however, there exists no objective quantification of call combinations. This is problematic because animal calls can co-occur with one another simply through chance alone. One common approach applied in language sciences to identify recurrent word combinations is collocation analysis. Through comparing the co-occurrence of two words with how ea… Show more

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Cited by 5 publications
(12 citation statements)
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“…The absolute value of the pbin values indicate the strength of these relationships. Pbin values >|1.3| indicate a nonrandom relationship: the higher the absolute value, the stronger the relationship between the units in the bigram (see Bosshard et al, 2021). More information on “Interpreting pbin Outputs from Collocation Analysis” can be found in the Supporting Information Materials.…”
Section: Discussionmentioning
confidence: 99%
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“…The absolute value of the pbin values indicate the strength of these relationships. Pbin values >|1.3| indicate a nonrandom relationship: the higher the absolute value, the stronger the relationship between the units in the bigram (see Bosshard et al, 2021). More information on “Interpreting pbin Outputs from Collocation Analysis” can be found in the Supporting Information Materials.…”
Section: Discussionmentioning
confidence: 99%
“…Collocation analysis is a constructional-based technique which compares the cooccurrence of specific items with one another (most frequently individual words in linguistic analyses) (Gale et al, 1991;Gries & Stefanowitsch, 2004;Kennedy, 1991;Nesselhauf, 2005) There are two types of collocation analysis, MDCA and mutual information collocation analysis (MICA) (see Bosshard et al, 2021;Church & Hanks, 1990;Leroux et al, 2021 for more information on MICA). MICA was not used in this study as the sample size is relatively large for this analysis (n = 1409 for V1 and n = 466 V2).…”
Section: Multiple Distinctive Collocation Analysis (Mdca) Of Resource...mentioning
confidence: 99%
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“…To test which elements followed which antecedent, we created a null model of ‘expected’ transitions using permutations of observed patterns. We chose this resampling approach over collocation analysis ( Bosshard et al, 2022 ) to account for the regular co-occurrence of play elements that is usually not seen in single-modularity communication; however, using collocation analysis instead did not alter the results. We repeatedly randomized the order of elements across bouts: while the number of elements per bout, the probability of elements to occur across bouts, and the position of Breaks and missing data in each bout were kept the same, we randomly assigned element positions.…”
Section: Methodsmentioning
confidence: 99%
“…To test which elements followed which antecedent, we created a null model of ‘expected’ transitions using permutations of observed patterns. We chose this resampling approach over collocation analysis (Bosshard et al, 2021) to account for the regular co-occurrence of play elements that is usually not seen in single-modularity communication. We repeatedly randomized the order of elements across bouts: while the number of elements per bout, the probability of elements to occur across bouts, and the position of Breaks and missing data in each bout were kept the same, we randomly assigned element positions.…”
Section: Methodsmentioning
confidence: 99%