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BabyLemmatizer-Babylonian-2nd
asahala/BabyLemmatizer-Babylonian-2nd
BabyLemmatizer-Babylonian-2nd 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. 120k words (including lacunae). Consists of all Oracc texts labeled as any variant of Babylonian or Akkadian in the second millennium BCE.
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Public
Updated Sep 7, 2023
Repo size
206 MB
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At a glance
- Access
- Public
- Created
- Sep 7, 2023
- Updated
- Sep 7, 2023
- SHA
- a12967bb
Model card
From the Hugging Face model README
Second Millennium Babylonian model for BabyLemmatizer
Total data set size ca. 120k words (including lacunae). Consists of all Oracc texts labeled as any variant of Babylonian or Akkadian in the second millennium BCE.
See model Babylonian-1st for the first millennium Babylonian.
Evaluation results
Neural Net Evaluation
COMPONENT AVG CI MODEL0
POS-tagger 97.85 ±0.00 97.85
Lemmatizer 94.58 ±0.00 94.58
Combined 93.87 ±0.00 93.87
POS-tagger OOV 91.94 ±0.00 91.94
Lemmatizer OOV 71.33 ±0.00 71.33
Combined OOV 69.91 ±0.00 69.91
-----------------------------------------------
OOV input rate 13.04 13.04
Post-correct Evaluation
COMPONENT AVG CI MODEL0
POS-tagger 97.85 ±0.00 97.85
Lemmatizer 94.59 ±0.00 94.59
Combined 93.88 ±0.00 93.88
POS-tagger OOV 91.94 ±0.00 91.94
Lemmatizer OOV 71.33 ±0.00 71.33
Combined OOV 69.91 ±0.00 69.91
-----------------------------------------------
OOV input rate 13.04 13.04
- Created
- Sep 7, 2023
- Updated
- Sep 7, 2023