  For researching effects of gamification in foreign language learning for
children in the "Say It Again, Kid!" project we developed a feedback paradigm
that can drive gameplay in pronunciation learning games. We describe our
scoring system based on the difference between a reference phone sequence and
the output of a multilingual CTC phoneme recogniser. We present a white-box
scoring model of mapped weighted Levenshtein edit distance between reference
and error with error weights for articulatory differences computed from a
training set of scored utterances. The system can produce a human-readable list
of each detected mispronunciation's contribution to the utterance score. We
compare our scoring method to established black box methods.
