Papers by Antonios Dimakis

2 papers
Dialect Normalization using Large Language Models and Morphological Rules (2025.findings-acl)

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Challenge: Natural language understanding systems struggle with low-resource languages, including many dialects of high-resourced ones.
Approach: They propose a method that combines rule-based linguistically informed transformations and large language models with targeted few-shot prompting without any parallel data.
Outcome: The proposed method is able to transform dialectal text into a standard variety while maintaining as much of the original meaning as possible.
Dictionary-Aided Translation for Handling Multi-Word Expressions in Low-Resource Languages (2024.findings-acl)

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Challenge: Multi-word expressions (MWEs) are a challenging task in natural language processing . they are defined as combinations of at least two words with distinct lexical, morphological, syntactic, semantic or statistical characteristics.
Approach: They propose a method leveraging an available out-of-context lexicon to improve translations . they propose to use a dictionary-aided translation to better translate multi-word expressions based on human annotations.
Outcome: The proposed method improves translations comparable to those of a human speaker.

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