When using only mBERT with S2T alignments we have high recall but a very mediocre precision; when using INTER alignments we see big gains in precision at the expense of lower recall, as expected.
this highlights the main advantages of our method: by relying on a big multilingual language model i) we obtain high-quality word alignments featuring high precision and recall, and ii) we do not need to re-train for other language pairs nor different domains.