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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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Spring 2016
Algorithmic decipherment is a prime example of a truly unsupervised problem. This thesis presents several algorithms developed for the purpose of decrypting unknown alphabetic scripts representing unknown languages. We assume that symbols in scripts which contain no more than a few dozen unique...
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Fall 2024
Large Language Models (LLMs), including Vision Large Language Models (VLLMs), herald the coming of a new research epoch in machine learning and computational linguistics. Despite most LLMs being predominantly trained on English, their proficiency in various languages has been confirmed by many...
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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...