Tagging and morphological disambiguation of Turkish text
ANLC '94 Proceedings of the fourth conference on Applied natural language processing
A simple rule-based part of speech tagger
ANLC '92 Proceedings of the third conference on Applied natural language processing
Morphological disambiguation by voting constraints
ACL '98 Proceedings of the 35th Annual Meeting of the Association for Computational Linguistics and Eighth Conference of the European Chapter of the Association for Computational Linguistics
Combining stochastic and rule-based methods for disambiguation in agglutinative languages
COLING '98 Proceedings of the 17th international conference on Computational linguistics - Volume 1
Serial combination of rules and statistics: a case study in Czech tagging
ACL '01 Proceedings of the 39th Annual Meeting on Association for Computational Linguistics
The architecture and the implementation of a finite state pronunciation lexicon for Turkish
Computer Speech and Language
Initial explorations in English to Turkish statistical machine translation
StatMT '06 Proceedings of the Workshop on Statistical Machine Translation
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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.