In the literature, various papers have developed more parsimonious Markov model structures concerning full Markov chain models, such as Variable Length Markov Chains (VLMC) and Partition Markov Models (PMM), see [1] and [2]. In the case of a multivariate Markov process, a family of models reduces the number of parameters considering a structure of conditional dependence for the marginal processes (structure of interaction of the process), see [3]. In this work, we infer the interaction structure for three correlates of rhythm for each one of three languages classified as having different rhythmic properties. We show that the structure is different for each language, showing that, this structure can be used as a tool in discriminant computational linguistics.
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1 September 2023
INTERNATIONAL CONFERENCE OF NUMERICAL ANALYSIS AND APPLIED MATHEMATICS ICNAAM 2021
20–26 September 2021
Rhodes, Greece
Research Article|
September 01 2023
Markovian structure of interaction for three indicators of linguistic rhythm
M. L. Lanfredi Viola;
M. L. Lanfredi Viola
a)
1)
Department of Statistics, Federal University of São Carlos
, São Paulo, Brazil
a)Corresponding author: lanfredi@gmail.com
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Jesús E. García;
Jesús E. García
b)
2)
Department of Statistics, University of Campinas
, São Paulo, Brazil
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V. A. González-López
V. A. González-López
c)
3)
Department of Statistics, University of Campinas
, São Paulo, Brazil
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a)Corresponding author: lanfredi@gmail.com
b)
Electronic mail: jg@ime.unicamp.br
c)
Electronic mail: veronica@ime.unicamp.br
AIP Conf. Proc. 2849, 110003 (2023)
Citation
M. L. Lanfredi Viola, Jesús E. García, V. A. González-López; Markovian structure of interaction for three indicators of linguistic rhythm. AIP Conf. Proc. 1 September 2023; 2849 (1): 110003. https://doi.org/10.1063/5.0162079
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