Aleksi Sahala
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init model
Browse files- README.md +32 -3
- babylonian-2nd.tar.gz +3 -0
README.md
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# Second Millennium Babylonian model for [BabyLemmatizer](https://github.com/asahala/BabyLemmatizer)
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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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See model Babylonian-1st for the first millennium Babylonian.
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## Evaluation results
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```
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Neural Net Evaluation
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COMPONENT AVG CI MODEL0
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POS-tagger 97.85 ±0.00 97.85
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Lemmatizer 94.58 ±0.00 94.58
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Combined 93.87 ±0.00 93.87
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POS-tagger OOV 91.94 ±0.00 91.94
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Lemmatizer OOV 71.33 ±0.00 71.33
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Combined OOV 69.91 ±0.00 69.91
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-----------------------------------------------
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OOV input rate 13.04 13.04
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Post-correct Evaluation
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COMPONENT AVG CI MODEL0
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POS-tagger 97.85 ±0.00 97.85
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Lemmatizer 94.59 ±0.00 94.59
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Combined 93.88 ±0.00 93.88
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POS-tagger OOV 91.94 ±0.00 91.94
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Lemmatizer OOV 71.33 ±0.00 71.33
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Combined OOV 69.91 ±0.00 69.91
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-----------------------------------------------
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OOV input rate 13.04 13.04
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```
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babylonian-2nd.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:ecac3d9827363c019b693a04267ac4de75a9f52abf81b340a9b9104efa157776
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size 205752077
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