For example, a common source of confusion in learners is between by and from, as in I like it because it's from my favourite band.
this confusion is not very frequent in the model, a difference which could be explained either by the fact that, as noted above, performance on from is very low and so the classifier is unlikely to suggest it, or that in training the contexts seen for by are sufficiently distinctive that the classifier is not misled like the learners.