In text-to-speech systems and in developing transcriptions for acoustic speech data, one is faced with the problem of disambiguating the pronunciation of a token in the context it is used, so that the correct pronunciation can be produced or the transcription uses the correct set of phonemes. In this paper we investigate the problem of pronunciation disambiguation in Turkish as a natural language processing problem and present preliminary results using a morphological disambiguation technique based on the notion of distinguishing tag sets.