Catálogo de publicaciones - libros
Multinational Enterprises, Foreign Direct Investment and Growth in Africa: South African Perspectives
Bernard Michael Gilroy ; Thomas Gries ; Willem A. Naudé (eds.)
Resumen/Descripción – provisto por la editorial
No disponible.
Palabras clave – provistas por la editorial
International Economics; Economic Growth
Disponibilidad
| Institución detectada | Año de publicación | Navegá | Descargá | Solicitá |
|---|---|---|---|---|
| No detectada | 2005 | SpringerLink |
Información
Tipo de recurso:
libros
ISBN impreso
978-3-7908-0276-4
ISBN electrónico
978-3-7908-1610-5
Editor responsable
Springer Nature
País de edición
Reino Unido
Fecha de publicación
2005
Información sobre derechos de publicación
© Physica-Verlag Heidelberg 2005
Cobertura temática
Tabla de contenidos
Human Resource Development: for Foreign Direct Investment in South Africa
W. Naudé; W. Krugell
In order to improve unlimited TTS, a framework to organize the multiple perceived units into discourse is proposed in [1]. To make an unlimited TTS system, we must transform the original text to the text with corresponding boundary breaks. So we describe how we predicate prosody from Text in this paper. We use the corpora with boundary breaks which follow the prosody framework. Then we use the lexical and syntactic information to predict prosody from text. The result shows that the weighted precision in our model is better than some speakers. We have shown our model can predict a reasonable prosody form text.
Part III - Labour Market Adjustment, Foreign Direct Investment and Human Resource Development | Pp. 247-278
Conclusions
B. M. Gilroy; T. Gries; W. Naudé
In order to improve unlimited TTS, a framework to organize the multiple perceived units into discourse is proposed in [1]. To make an unlimited TTS system, we must transform the original text to the text with corresponding boundary breaks. So we describe how we predicate prosody from Text in this paper. We use the corpora with boundary breaks which follow the prosody framework. Then we use the lexical and syntactic information to predict prosody from text. The result shows that the weighted precision in our model is better than some speakers. We have shown our model can predict a reasonable prosody form text.
Part III - Labour Market Adjustment, Foreign Direct Investment and Human Resource Development | Pp. 279-284