Leveraging “Commonalities” in low-resource setting
Organization
TartuNLP
Abstract
In this thesis, the goal is to transfer the NLP capabilities from high-resourced languages to a low-resourced language settings. In particular, this work leverages the transformer-based pretrained models and investigates the knowledge transfer possibilities on related languages, distant languages, and within the target (low-resourced) language.
The focus is on Estonian (as the target language) and on the Sentiment Analysis task.
The focus is on Estonian (as the target language) and on the Sentiment Analysis task.
Graduation Theses defence year
2023-2024
Supervisor
Somnath Banerjee, Siim Orasmaa
Spoken language (s)
Estonian, English
Requirements for candidates
Level
Bachelor, Masters
Keywords
Application of contact
Name
Somanth Banerjee, Siim Orasmaa
Phone
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