Aleksi Sahala
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init model
Browse files- README.md +28 -3
- latin.tar.gz +3 -0
README.md
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# Latin (demo) model for [BabyLemmatizer](https://github.com/asahala/BabyLemmatizer)
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This is a demo model for Latin based on [PROIEL data](https://github.com/UniversalDependencies/UD_Latin-PROIEL). Models uses alphabetic tokenization and requires BabyLemmatizer 2.1 or newer.
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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 95.38 ±0.00 95.38
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Lemmatizer 96.47 ±0.00 96.47
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Combined 94.39 ±0.00 94.39
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POS-tagger OOV 87.12 ±0.00 87.12
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Lemmatizer OOV 82.70 ±0.00 82.70
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Combined OOV 80.28 ±0.00 80.28
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-----------------------------------------------
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OOV input rate 10.58 10.58
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Post-correct Evaluation
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COMPONENT AVG CI MODEL0
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POS-tagger 95.38 ±0.00 95.38
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Lemmatizer 96.49 ±0.00 96.49
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Combined 94.42 ±0.00 94.42
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POS-tagger OOV 87.12 ±0.00 87.12
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Lemmatizer OOV 82.70 ±0.00 82.70
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Combined OOV 80.28 ±0.00 80.28
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-----------------------------------------------
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OOV input rate 10.58 10.58
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```
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latin.tar.gz
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version https://git-lfs.github.com/spec/v1
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oid sha256:3f91635619728774cfe77177b1a874b9ace3bf4ceb9524bffbac7d8980e15b21
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size 208127700
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