Name
Abstract | ||
|---|---|---|
Pattern Recognition systems are not error-free. Human intervention is typically needed to verify and/or correct the result
of such systems. To formalize this fact, a new framework, which integrates the human activity into the recognition process
taking advantage of the user’s feedback, is described. Several applications, involving Interactive Speech Transcription and
Multimodal Interactive Machine Translation, have recently been considered under this framework. These applications are reviewed
in this paper, and some experiments, showing that the proposed framework can save significant amounts of human effort, are
also presented.
|
Year | DOI | Venue |
|---|---|---|
2007 | 10.1007/978-3-540-78155-4_6 | Machine Learning for Multimodal Interaction |
Keywords | DocType | Volume |
proposed framework,Interactive Speech Transcription,human activity,recognition process,Pattern Recognition system,new framework,significant amount,interactive pattern recognition,human intervention,human effort,Multimodal Interactive Machine Translation | Conference | 4892 |
ISSN | ISBN | Citations |
0302-9743 | 3-540-78154-4 | 20 |
PageRank | References | Authors |
1.13 | 10 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Enrique Vidal | 1 | 1096 | 85.46 |
| Luis Rodríguez | 2 | 62 | 4.88 |
| francisco casacuberta | 3 | 1439 | 161.33 |
| Ismael García-varea | 4 | 275 | 36.16 |