Refinement of a Structured Language Model
| dc.creator | Chelba, Ciprian | |
| dc.creator | Jelinek, Frederick | |
| dc.date | 2000-01-24 | |
| dc.date.accessioned | 2026-07-07T03:15:51Z | |
| dc.date.available | 2026-07-07T03:15:51Z | |
| dc.description | A new language model for speech recognition inspired by linguistic analysis is presented. The model develops hidden hierarchical structure incrementally and uses it to extract meaningful information from the word history - thus enabling the use of extended distance dependencies - in an attempt to complement the locality of currently used n-gram Markov models. The model, its probabilistic parametrization, a reestimation algorithm for the model parameters and a set of experiments meant to evaluate its potential for speech recognition are presented. | |
| dc.description | 10 pages | |
| dc.identifier | https://arxiv.org/abs/cs/0001021 | |
| dc.identifier | http://arxiv.org/abs/cs/0001021 | |
| dc.identifier | Proceedings of the International Conference on Advances in Pattern Recognition, 1998, pp. 275-284, Plymouth, UK | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/30141 | |
| dc.subject | Computation and Language | |
| dc.subject | G.3, I.2.7, I.5.1, I.5.4 | |
| dc.title | Refinement of a Structured Language Model | |
| dc.type | text |