Machine learning for modeling Dutch pronunciation variation
| Author(s) : | Walter Daelemans Steven Gillis, |
| Publisher : | N/A |
| Publication Date : | 1999 |
| ISSN : | N/A |
| Abstract : | This paper describes the use of rule induction techniques for the automatic extraction of phonemic knowledge and rules from pairs of pronunciation lexicons. This extracted knowledge allows the adaptation of speech processing systems to regional variants of a language. As a case study, we apply the approach to, |