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Middle Assyrian model for BabyLemmatizer
Total data set size ca. 300k words (including lacunae). Consists of all Oracc texts labeled as Middle Assyrian. The model is augmented with the Neo-Assyrian data to improve the performance.
Evaluation results
Neural Net Evaluation
COMPONENT AVG CI MODEL0
POS-tagger 96.76 ±0.00 96.76
Lemmatizer 94.43 ±0.00 94.43
Combined 92.77 ±0.00 92.77
POS-tagger OOV 89.26 ±0.00 89.26
Lemmatizer OOV 68.13 ±0.00 68.13
Combined OOV 66.40 ±0.00 66.40
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OOV input rate 10.21 10.21
Post-correct Evaluation
COMPONENT AVG CI MODEL0
POS-tagger 96.76 ±0.00 96.76
Lemmatizer 94.46 ±0.00 94.46
Combined 92.79 ±0.00 92.79
POS-tagger OOV 89.26 ±0.00 89.26
Lemmatizer OOV 68.13 ±0.00 68.13
Combined OOV 66.40 ±0.00 66.40
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OOV input rate 10.21 10.21
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