(2017), which achieved a log likelihood of −21.73, suggesting that neural networks may be just as good at capturing phonotactic regularities as models that generate upcoming phonetic segments via stochastic memoization.
comparing them, we see that the feature-aware model maintains manner-based distinctions even at late stages of the clustering.