Predicting name pronunciation for a reverse directory service
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چکیده
Text-to-speech systems are nonnally not suited for name pronunciation in, for example, an automatized reverse directory service. A new project has been started to alleviate these problems. First names, sumames and street names corpora from the Greater Stockholm telephone directory has been studied. The sumames corpus has been tagged as to langnage origin. Both rule based methods and an artificial neural net classifier has been tried to predict this information. Specialized rule components are currendy being written to predict the pronunciation for narnes of different origin.
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