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asahala/BabyLemmatizer-Neo-Assyrian
BabyLemmatizer-Neo-Assyrian is a machine learning model from asahala. Use it for the machine learning task on the model card, and read the license before you ship it in a product.
Total data set size ca. 330k words (including lacunae). Consists of all Oracc texts labeled as Neo-Assyrian. Based on Oracc.
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Updated Sep 7, 2023
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From the Hugging Face model README
Total data set size ca. 330k words (including lacunae). Consists of all Oracc texts labeled as Neo-Assyrian. Based on Oracc.
Neural Net Evaluation
COMPONENT AVG CI MODEL0
POS-tagger 97.49 ±0.00 97.49
Lemmatizer 95.38 ±0.00 95.38
Combined 94.28 ±0.00 94.28
POS-tagger OOV 90.45 ±0.00 90.45
Lemmatizer OOV 71.21 ±0.00 71.21
Combined OOV 69.64 ±0.00 69.64
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OOV input rate 9.51 9.51
Post-correct Evaluation
COMPONENT AVG CI MODEL0
POS-tagger 97.49 ±0.00 97.49
Lemmatizer 95.44 ±0.00 95.44
Combined 94.34 ±0.00 94.34
POS-tagger OOV 90.45 ±0.00 90.45
Lemmatizer OOV 71.21 ±0.00 71.21
Combined OOV 69.64 ±0.00 69.64
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OOV input rate 9.51 9.51