Robust stochastic parsing using the inside-outside algorithm
| dc.creator | Briscoe | |
| dc.creator | Ted | |
| dc.creator | Waegner | |
| dc.creator | Nick | |
| dc.date | 1994-12-19 | |
| dc.date.accessioned | 2026-07-07T09:09:41Z | |
| dc.date.available | 2026-07-07T09:09:41Z | |
| dc.description | The paper describes a parser of sequences of (English) part-of-speech labels which utilises a probabilistic grammar trained using the inside-outside algorithm. The initial (meta)grammar is defined by a linguist and further rules compatible with metagrammatical constraints are automatically generated. During training, rules with very low probability are rejected yielding a wide-coverage parser capable of ranking alternative analyses. A series of corpus-based experiments describe the parser's performance. | |
| dc.description | Revised and updated version of paper from AAAI Workshop on Probabilistically-based Natural Language Processing Techniques, 1992, 16 pages, uuencoded, compressed postscript | |
| dc.identifier | https://arxiv.org/abs/cmp-lg/9412006 | |
| dc.identifier | http://arxiv.org/abs/cmp-lg/9412006 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/151125 | |
| dc.subject | Computation and Language | |
| dc.title | Robust stochastic parsing using the inside-outside algorithm | |
| dc.type | text |