Entropy Model in Application to Natural Languages
| dc.contributor.author | Zeng, Yue | |
| dc.contributor.supervisor | Kaimanovich, Vadim | |
| dc.date.accessioned | 2023-03-06T21:36:03Z | |
| dc.date.available | 2023-03-06T21:36:03Z | |
| dc.date.issued | 2023-03-06 | en_US |
| dc.description.abstract | In 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.uri | http://hdl.handle.net/10393/44678 | |
| dc.identifier.uri | http://dx.doi.org/10.20381/ruor-28884 | |
| dc.language.iso | en | en_US |
| dc.publisher | Université d'Ottawa / University of Ottawa | en_US |
| dc.subject | asymptotic entropy | en_US |
| dc.subject | entropy rate | en_US |
| dc.subject | information theory | en_US |
| dc.subject | natural languages | en_US |
| dc.title | Entropy Model in Application to Natural Languages | en_US |
| dc.type | Thesis | en_US |
| thesis.degree.discipline | Sciences / Science | en_US |
| thesis.degree.level | Masters | en_US |
| thesis.degree.name | MSc | en_US |
| uottawa.department | Mathématiques et statistique / Mathematics and Statistics | en_US |
