Probabilistic Parsing Using Left Corner Language Models
| dc.creator | Manning, Christopher D. | |
| dc.creator | Carpenter, Bob | |
| dc.date | 1997-11-17 | |
| dc.date.accessioned | 2026-07-07T02:36:07Z | |
| dc.date.available | 2026-07-07T02:36:07Z | |
| dc.description | We introduce a novel parser based on a probabilistic version of a left-corner parser. The left-corner strategy is attractive because rule probabilities can be conditioned on both top-down goals and bottom-up derivations. We develop the underlying theory and explain how a grammar can be induced from analyzed data. We show that the left-corner approach provides an advantage over simple top-down probabilistic context-free grammars in parsing the Wall Street Journal using a grammar induced from the Penn Treebank. We also conclude that the Penn Treebank provides a fairly weak testbed due to the flatness of its bracketings and to the obvious overgeneration and undergeneration of its induced grammar. | |
| dc.description | 12 pages, uses iwpt97.sty | |
| dc.identifier | https://arxiv.org/abs/cmp-lg/9711003 | |
| dc.identifier | http://arxiv.org/abs/cmp-lg/9711003 | |
| dc.identifier | Proceedings of the Fifth International Workshop on Parsing Technologies, MIT, Boston MA, 1997 | |
| dc.identifier.uri | http://salesiana.dossiersoluciones.com/handle/123456789/15801 | |
| dc.subject | Computation and Language | |
| dc.title | Probabilistic Parsing Using Left Corner Language Models | |
| dc.type | text |