Name
Abstract | ||
|---|---|---|
This paper is about the creation of a digital dialect database, and the focus is on automatic word segmentation. Automatic word segmentation has been studied by several research groups during the last two decades. However, the task we are faced with differs in several respects from previous ones. For instance, in our case we are dealing with recordings of interviews containing spontaneous dialect speech and 'enriched' (quasi-phonetic) orthographic transcriptions (instead of 'normal' orthographic transcriptions, which are usually available). Furthermore, the nature of the task requires that the word segmentation procedure can be adapted for each interview. |
Year | Venue | Keywords |
|---|---|---|
2004 | INTERSPEECH | word segmentation |
Field | DocType | Citations |
Transcription (linguistics),Orthographic projection,Computer science,Speech recognition,Text segmentation,Natural language processing,Artificial intelligence,Speech segmentation | Conference | 0 |
PageRank | References | Authors |
0.34 | 7 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Eric Sanders | 1 | 138 | 27.90 |
| Andrea Diersen | 2 | 0 | 0.34 |
| Willy Jongenburger | 3 | 2 | 1.70 |
| Helmer Strik | 4 | 430 | 74.89 |