Machine learning of phonetic transcription rules for Greek
Nikitas Ν. Karanikolas · AIP conference proceedings · 2019
The purpose of this work is to define an automatic machine learning approach that learns rules of how to transcribe Greek words into the International Phonetics Association’s (IPA’s) phonetic alphabet. It is an algorithmic approach that mines rules of phonologic transcription from training data (phonologically transcribed Greek words) that are available in the internet and in other resources.