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Theses and Dissertations
This collection contains theses and dissertations of graduate students of the University of Alberta. The collection contains a very large number of theses electronically available that were granted from 1947 to 2009, 90% of theses granted from 2009-2014, and 100% of theses granted from April 2014 to the present (as long as the theses are not under temporary embargo by agreement with the Faculty of Graduate and Postdoctoral Studies). IMPORTANT NOTE: To conduct a comprehensive search of all UofA theses granted and in University of Alberta Libraries collections, search the library catalogue at www.library.ualberta.ca - you may search by Author, Title, Keyword, or search by Department.
To retrieve all theses and dissertations associated with a specific department from the library catalogue, choose 'Advanced' and keyword search "university of alberta dept of english" OR "university of alberta department of english" (for example). Past graduates who wish to have their thesis or dissertation added to this collection can contact us at erahelp@ualberta.ca.
Items in this Collection
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Leveraging LiDAR-Based Simulations to Quantify the Complexity of The Static Environment for Autonomous Vehicles in Rural Settings
DownloadSpring 2024
The advent of autonomous vehicles promises to address key challenges faced by the transportation and traffic safety sectors, particularly concerning the high incidence of traffic fatalities and injuries. The full-scale deployment of autonomous vehicle fleets is contingent upon public acceptance,...
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Leveraging Natural language Processing and Machine Learning Techniques to find Frailty Deficits from Clinical Dataset
DownloadSpring 2023
Introduction Frailty is a syndrome that is often associated with aging. It can be identified through specific frailty scales or a comprehensive assessment by a healthcare provider. In Alberta, it appears that there are no specific billing or diagnostic codes for frailty. So, healthcare providers...
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Leveraging Natural Language Processing Methods to Evaluate Automatically Generated Cloze Questions: A Cautionary Tale
DownloadFall 2024
The purpose of this dissertation is to employ three prominent atural language processing methods to assess the feasibility of automatically evaluating cloze questions generated by automatic item generation (AIG) methods. AIG methods have been developed to address the need for a large number of...
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Spring 2023
The gaming industry has experienced a sharp growth in recent years, surpassing other popular entertainment segments, such as the film industry. With the ever-increasing scale of the gaming industry and the fact that players are extremely difficult to satisfy, it has become extremely challenging...
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Fall 2023
Partial observability---when the senses lack enough detail to make an optimal decision---is the reality of any decision making agent acting in the real world. While an agent could be made to make due with its available senses, taking advantage of the history of senses can provide more context and...
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Leveraging spectroscopic sensor measurements for development of models for reactions involving complex feedstocks
DownloadFall 2024
Chemically heterogeneous feedstocks are being increasingly used in process industries due to depletion of conventional feedstocks, to meet environmental demands and to recover value added products from wastes. Chemical modeling of reactive transformations of such complex feedstocks involves...
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Fall 2011
Grapheme-to-phoneme conversion (G2P) and machine transliteration are important tasks in natural language processing. Supplemental data can often help resolve difficult ambiguities: existing transliterations of the same word can help choose among a G2P system’s candidate output transcriptions;...
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Spring 2022
Computational lexical semantics is the study of word meanings which involves algorithms and ontologies. Computation of semantic similarity plays an important role in various applications of natural language processing, including information retrieval, machine translation, and question answering....
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Fall 2021
We leverage multilingual translations from parallel corpora to improve sense annotations, build end-to-end Word Sense Disambiguation pipelines and detect cross-lingual lexical entailment. Based on theories of translational equivalence, we propose novel algorithms capable of correcting noisy sense...