In this paper, a rule-based automatic syllabifier for Danish is described using the Maximal Onset Principle. Prior success rates of rule-based methods applied to Portuguese and Catalan syllabification modules were on the basis of this work. The system was implemented and tested using a very small set of rules. The results gave rise to 96.9% and 98.7% of word accuracy rate, contrary to our initial expectations, being Danish a language with a complex syllabic structure and thus difficult to be rule-driven. Comparison with data-driven syllabification system using artificial neural networks showed a higher accuracy rate of the former system. Index Terms: automatic syllabification, rule-based techniques, artificial neural networks, text-to-speech. Index Terms: Catalan text-to-speech, stress, orthographic and phonologic syllabification, prosody

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Catalan text-to-speech,stress,orthographic and phonologic syllabification,prosody

• Ciências da Computação e da Informação - Ciências Naturais
• Engenharia Eletrotécnica, Eletrónica e Informática - Engenharia e Tecnologia
• Línguas e Literaturas - Humanidades