| # First Millennium Babylonian model for [BabyLemmatizer](https://github.com/asahala/BabyLemmatizer) | |
| Total data set size ca. 1.3M words (including lacunae). Consists of all Oracc texts labeled as any variant of Babylonian or Akkadian in the first millennium BCE. Neo-Assyrian excluded. OOV rate is fairly low but the data set is very varied and comprises all different text genres. | |
| See model Babylonian-2nd for Middle Babylonian (and in general second millennium Babylonian). | |
| ## Evaluation results | |
| ``` | |
| Neural Net Evaluation | |
| COMPONENT AVG CI MODEL0 | |
| POS-tagger 96.84 ±0.00 96.84 | |
| Lemmatizer 95.23 ±0.00 95.23 | |
| Combined 93.91 ±0.00 93.91 | |
| POS-tagger OOV 87.41 ±0.00 87.41 | |
| Lemmatizer OOV 71.78 ±0.00 71.78 | |
| Combined OOV 69.63 ±0.00 69.63 | |
| ----------------------------------------------- | |
| OOV input rate 6.63 6.63 | |
| Post-correct Evaluation | |
| COMPONENT AVG CI MODEL0 | |
| POS-tagger 96.84 ±0.00 96.84 | |
| Lemmatizer 95.36 ±0.00 95.36 | |
| Combined 94.04 ±0.00 94.04 | |
| POS-tagger OOV 87.41 ±0.00 87.41 | |
| Lemmatizer OOV 71.78 ±0.00 71.78 | |
| Combined OOV 69.63 ±0.00 69.63 | |
| ----------------------------------------------- | |
| OOV input rate 6.63 6.63 | |
| ``` | |