  Pronunciation modeling is a key task for building speech technology in new
languages, and while solid grapheme-to-phoneme (G2P) mapping systems exist,
language coverage can stand to be improved. The information needed to build G2P
models for many more languages can easily be found on Wikipedia, but
unfortunately, it is stored in disparate formats. We report on a system we
built to mine a pronunciation data set in 819 languages from loosely structured
tables within Wikipedia. The data includes phoneme inventories, and for 63
low-resource languages, also includes the grapheme-to-phoneme (G2P) mapping. 54
of these languages do not have easily findable G2P mappings online otherwise.
We turned the information from Wikipedia into a structured, machine-readable
TSV format, and make the resulting data set publicly available so it can be
improved further and used in a variety of applications involving low-resource
languages.
