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# Latin (demo) model for [BabyLemmatizer](https://github.com/asahala/BabyLemmatizer) |
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This is a demo model for Latin based on [PROIEL data](https://github.com/UniversalDependencies/UD_Latin-PROIEL). Model uses alphabetic tokenization and requires BabyLemmatizer 2.1 or newer. |
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## Evaluation results |
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``` |
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Neural Net Evaluation |
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COMPONENT AVG CI MODEL0 |
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POS-tagger 95.38 ±0.00 95.38 |
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Lemmatizer 96.47 ±0.00 96.47 |
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Combined 94.39 ±0.00 94.39 |
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POS-tagger OOV 87.12 ±0.00 87.12 |
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Lemmatizer OOV 82.70 ±0.00 82.70 |
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Combined OOV 80.28 ±0.00 80.28 |
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----------------------------------------------- |
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OOV input rate 10.58 10.58 |
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Post-correct Evaluation |
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COMPONENT AVG CI MODEL0 |
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POS-tagger 95.38 ±0.00 95.38 |
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Lemmatizer 96.49 ±0.00 96.49 |
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Combined 94.42 ±0.00 94.42 |
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POS-tagger OOV 87.12 ±0.00 87.12 |
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Lemmatizer OOV 82.70 ±0.00 82.70 |
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Combined OOV 80.28 ±0.00 80.28 |
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----------------------------------------------- |
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OOV input rate 10.58 10.58 |
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``` |
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