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  and . 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 . 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.
Skip Nav Destination
Research Article| September 01 2023
Markovian structure of interaction for three indicators of linguistic rhythm
M. L. Lanfredi Viola;
Jesús E. García;
AIP Conf. Proc. 2849, 110003 (2023)
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
Download citation file:
Don't already have an account? Register
You could not be signed in. Please check your credentials and make sure you have an active account and try again.
Could not validate captcha. Please try again.