| # Latin (demo) model for [BabyLemmatizer](https://github.com/asahala/BabyLemmatizer) | |
| 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. | |
| ## Evaluation results | |
| ``` | |
| Neural Net Evaluation | |
| COMPONENT AVG CI MODEL0 | |
| POS-tagger 95.38 ±0.00 95.38 | |
| Lemmatizer 96.47 ±0.00 96.47 | |
| Combined 94.39 ±0.00 94.39 | |
| POS-tagger OOV 87.12 ±0.00 87.12 | |
| Lemmatizer OOV 82.70 ±0.00 82.70 | |
| Combined OOV 80.28 ±0.00 80.28 | |
| ----------------------------------------------- | |
| OOV input rate 10.58 10.58 | |
| Post-correct Evaluation | |
| COMPONENT AVG CI MODEL0 | |
| POS-tagger 95.38 ±0.00 95.38 | |
| Lemmatizer 96.49 ±0.00 96.49 | |
| Combined 94.42 ±0.00 94.42 | |
| POS-tagger OOV 87.12 ±0.00 87.12 | |
| Lemmatizer OOV 82.70 ±0.00 82.70 | |
| Combined OOV 80.28 ±0.00 80.28 | |
| ----------------------------------------------- | |
| OOV input rate 10.58 10.58 | |
| ``` | |