init model

README.md

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-license: cc-by-4.0
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+# Second Millennium Babylonian model for [BabyLemmatizer](https://github.com/asahala/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
+```

babylonian-2nd.tar.gz

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+size 205752077