init model

README.md

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-license: cc-by-4.0
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+# First Millennium Babylonian model for [BabyLemmatizer](https://github.com/asahala/BabyLemmatizer)
+Total data set size ca. 1.3M words (including lacunae). Consists of all Oracc texts labeled as any variant of Babylonian or Akkadian in the first millennium BCE. Neo-Assyrian excluded. OOV rate is fairly low but the data set is very varied and comprises all different text genres.
+
+See model Babylonian-2nd for Middle Babylonian (and in general second millennium Babylonian).
+
+## Evaluation results
+
+```
+Neural Net Evaluation
+COMPONENT       AVG     CI       MODEL0
+POS-tagger      96.84   ±0.00    96.84
+Lemmatizer      95.23   ±0.00    95.23
+Combined        93.91   ±0.00    93.91
+POS-tagger OOV  87.41   ±0.00    87.41
+Lemmatizer OOV  71.78   ±0.00    71.78
+Combined   OOV  69.63   ±0.00    69.63
+-----------------------------------------------
+OOV input rate  6.63             6.63
+
+Post-correct Evaluation
+COMPONENT       AVG     CI       MODEL0
+POS-tagger      96.84   ±0.00    96.84
+Lemmatizer      95.36   ±0.00    95.36
+Combined        94.04   ±0.00    94.04
+POS-tagger OOV  87.41   ±0.00    87.41
+Lemmatizer OOV  71.78   ±0.00    71.78
+Combined   OOV  69.63   ±0.00    69.63
+-----------------------------------------------
+OOV input rate  6.63             6.63
+```

babylonian-1st.tar.gz

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