A hybrid system combining the rule-based analyzer Vabamorf with the GliNER span-labeling model reaches 97.7% lemmatization accuracy in Estonian and improves BM25 recall slightly over the default disambiguator.
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GliLem: Leveraging GliNER for Contextualized Lemmatization in Estonian
A hybrid system combining the rule-based analyzer Vabamorf with the GliNER span-labeling model reaches 97.7% lemmatization accuracy in Estonian and improves BM25 recall slightly over the default disambiguator.