Researchers have developed a method to create high-quality training corpora for seven South Slavic languages from raw Wikimedia dumps. The process involves two main stages: extracting and cleaning text from various Wikipedia projects, and then filtering out low-quality or repetitive articles using an n-gram-based strategy. This approach aims to produce linguistically rich datasets suitable for training language models and conducting comparative linguistic research, with potential for generalization to other languages. AI
IMPACT Provides a scalable method for generating specialized language corpora, potentially improving LLM performance on under-resourced languages.
RANK_REASON Academic paper detailing a methodology for creating training data.
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