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Urartian model for BabyLemmatizer
Total data set size ca. 20k words (including lacunae). Based on eCUT / Oracc.
Evaluation results
Neural Net Evaluation
COMPONENT AVG CI MODEL0
POS-tagger 96.51 ±0.00 96.51
Lemmatizer 92.75 ±0.00 92.75
Combined 91.34 ±0.00 91.34
POS-tagger OOV 86.18 ±0.00 86.18
Lemmatizer OOV 69.11 ±0.00 69.11
Combined OOV 65.85 ±0.00 65.85
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OOV input rate 8.26 8.26
Post-correct Evaluation
COMPONENT AVG CI MODEL0
POS-tagger 96.51 ±0.00 96.51
Lemmatizer 93.96 ±0.00 93.96
Combined 92.55 ±0.00 92.55
POS-tagger OOV 86.18 ±0.00 86.18
Lemmatizer OOV 69.11 ±0.00 69.11
Combined OOV 65.85 ±0.00 65.85
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OOV input rate 8.26 8.26
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