krickert commented on PR #1150:
URL: https://github.com/apache/opennlp/pull/1150#issuecomment-4959066625

   Also - the eval test did fail.  On exactly this :)
   
   So I updated the training-data fingerprint in SourceForgeModelEval to match, 
since SimpleTokenizer now splits on the Unicode `White_Space` set. The real 
blast radius is small: 64 NEL and 2 C0-separator characters across the 
300K-line Leipzig corpus retokenize, and every accuracy eval (NameFinder, POS, 
parser, chunker, sentence detector) passed unchanged. 
   
   Since 3.0 is a new major, I imagine that it's normal for packages to 
standardize on one whitespace definition than carry the legacy behavior 
forward, and existing models still load and score the same features because the 
feature generator keeps the legacy predicate.


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