Enhanced Rule-Based Phonetic Transcription for the Romanian Language
Symbolic and Numeric Algorithms for Scientific Computing(2009)
Abstract
This paper presents a rule-based approach for the phonetic transcription of the Romanian language. We integrate this phonetic analysis in the text processing component of a text-to-speech system for Romanian. Grapheme-to-phoneme rules are constructed based on expert information from DOOMII dictionary. In the cases when rules are useless, we employed decision trees constructed on engineered training sets to help the classifiers to learn the language exceptions.
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Key words
decision trees,knowledge based systems,natural language processing,speech synthesis,Romanian Language,decision tree,grapheme-to-phoneme rule,rule-based phonetic transcription,text processing component,text-to-speech system,Romanian language,decision trees,phonetic transcription,rules based approach,text-to-speech,
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