Annotation projection with pattern based neural networks for antonym and synonym detection in the Yorùbá Language
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1251800064-MIT.pdf
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Author(s)
Ikhofua, Kamoya(Kamoya Korede)
Advisor(s)
Regina Barzilay and Jiaming Luo.
Date Issued
2021
Publisher
Massachusetts Institute of Technology
Abstract
In this thesis, I explore the task of automatically distinguishing between synonyms and antonyms in the Yorùbá language. Previous work by Nguyen et al. [16] relies on linguistic resources such as WordNet to provide supervision for this task in English, however at this time there is no WordNet for Yorùbá. I investigate whether we can bridge this resource gap by utilizing machine translation systems, parallel corpora and natural language parsers, following the annotation projection paradigm [10, 13, 18]. In Chapter 1, I provide an overview of the entire work and my technical contributions. Next, I state the philosophical motivations of this work and its larger goals. In Chapter 2, I provide a background on annotation projection and on previous work on the task of distinguishing between antonyms and synonyms. In Chapter 3, I present the preliminary results of this work and explain its limitations as well as how they can be overcome in future work. I conclude with a summary about this work and its contributions.
Description
Thesis: M. Eng., Massachusetts Institute of Technology, Department of Electrical Engineering and Computer Science, February, 2021
Cataloged from the official PDF of thesis.
Includes bibliographical references (pages 43-44).
Subjects
Electrical Engineering and Computer Science.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
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