A Corpus for Large-Scale Phonetic Typology
Table 5: WikiPron G2P Phone Error Rate (PER) calculated treating WikiPron annotations as ground-truth. We perform 20 trials with random 80/20 splits per language, and report PER averaged across trials with 95% confidence intervals for each language.
['[BOLD] ISO 639-3', '[BOLD] fin', '[BOLD] lat', '[BOLD] nhx', '[BOLD] srn', '[BOLD] mah', '[BOLD] por-po', '[BOLD] mfe', '[BOLD] mww', '[BOLD] por-bz', '[BOLD] eng', '[BOLD] khm', '[BOLD] mlg', '[BOLD] ori', '[BOLD] ban', '[BOLD] urd']
This is an estimate of how accurate our G2P-predicted pronunciations are on out-of-vocabulary words, insofar as those are distributed similarly to the in-vocabulary words. (It is possible, however, that out-of-vocabulary words such as Biblical names are systematically easier or harder for the G2P system to pronounce, depending on how they were transliterated.)