Estimation of algorithms for variable length Markov chains

• Grant number: 05/03434-5
• Support type: Scholarships in Brazil - Master
• Effective date (Start): March 01, 2006
• Effective date (End): February 29, 2008
• Field of knowledge: Physical Sciences and Mathematics - Probability and Statistics - Applied Probability and Statistics
• Principal researcher: Nancy Lopes Garcia
• Grantee: David Henriques da Matta
• Home Institution: Instituto de Matemática, Estatística e Computação Científica (IMECC). Universidade Estadual de Campinas (UNICAMP). Campinas , SP, Brazil

Abstract

The objective of this project is the construction of alternative methods for the Algorithm of Context commonly used to estimate the context function for Variable Length Markov Chains. We will apply these alternative methods for modern texts of Brazilian and European Portuguese authors. These texts had been codified according to whether its syllables are beginnings of prosodic words and if they were stressed or not. Applying the Context Algorithm to these texts we verify that the sample was not large enough to discriminate between the languages. Alternative methods of estimation are necessary.

Academic Publications

(References retrieved automatically from State of São Paulo Research Institutions)

MATTA, David Henriques da. Estimation of algorithms for variable length Markov chains. 2008. Master's Dissertation - Universidade Estadual de Campinas (UNICAMP). Instituto de Matemática, Estatística e Computação Científica Campinas, SP.