Entropy Model in Application to Natural Languages

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dc.contributor.authorZeng, Yue
dc.contributor.supervisorKaimanovich, Vadim
dc.date.accessioned2023-03-06T21:36:03Z
dc.date.available2023-03-06T21:36:03Z
dc.date.issued2023-03-06en_US
dc.description.abstractIn this thesis, we study the mathematics behind the information theory. The focus is on Shannon's notion of the asymptotic entropy (entropy rate) and its applications to natural languages. We discuss various approaches to estimation of the entropy rate and their ramifications.en_US
dc.identifier.urihttp://hdl.handle.net/10393/44678
dc.identifier.urihttp://dx.doi.org/10.20381/ruor-28884
dc.language.isoenen_US
dc.publisherUniversité d'Ottawa / University of Ottawaen_US
dc.subjectasymptotic entropyen_US
dc.subjectentropy rateen_US
dc.subjectinformation theoryen_US
dc.subjectnatural languagesen_US
dc.titleEntropy Model in Application to Natural Languagesen_US
dc.typeThesisen_US
thesis.degree.disciplineSciences / Scienceen_US
thesis.degree.levelMastersen_US
thesis.degree.nameMScen_US
uottawa.departmentMathématiques et statistique / Mathematics and Statisticsen_US

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