Leveraging known Pinyin linguistic characteristics can improve the accuracy of our model and reduce the size of the annotation task.
this is done by grouping the Pinyin components into initial clusters according to the Pinyin pronunciation tables (ISO, 2015) and only annotating the pairs within each cluster along with a single pairwise distance between clusters.