Papers by Olga Kellert

1 papers
Parsing the Switch: LLM-Based UD Annotation for Complex Code-Switched and Low-Resource Languages (2025.findings-emnlp)

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Challenge: Existing approaches to analyzing code-switched data are limited in their ability to generalize to multilingual and mixed-language inputs.
Approach: They propose a large-language model-based annotation pipeline to produce UD annotations for code-switched text.
Outcome: The proposed pipeline outperforms existing parsers and baselines in syntactic analysis.

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