| Challenge: | Existing models for ancient Greek inscriptions are not performant on epigraphic data due to language differences . a lemmatizer for ancient inscription data can enable meaningful generalizations, we show . |
| Approach: | They propose to train an automatic lemmatizer for ancient Greek inscriptions with 80% accuracy . they also show that existing models are not performant on epigraphic data . |
| Outcome: | The proposed model achieves above 80% accuracy on epigraphic data, and makes it available to the community. |
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