Iβm training up some machine learning models to 'disambiguate homographs' (aka heteronyms, or words with identical Latin alphabet spellings but different pronunciations like βbow/bowβ, βtear/tearβ). This will help solve one of the more annoying aspects of auto transliteration into #Shavian. It is both very exciting and intensely boring, since Iβm having to make the data sets. Hard to believe there is almost no publicly available training data for this. #ππ±ππΎπ―