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prediction can be used to approximate some average patterns, as it would kick out irregular data points (better than hamming distance), and we can create profiles for all words in the data, assessing divergences
prediction can be used to identify the most important languages for successful prediction (by simply counting for each language, what prediction rates it yields on average). This would allow us to assess, which languages in our sample are "archaic".
The text was updated successfully, but these errors were encountered:
Two aspects of prediction are important:
The text was updated successfully, but these errors were encountered: