@inproceedings{manning-carpenter-1997-probabilistic,
title = "Probabilistic Parsing using Left Corner Language Models",
author = "Manning, Christopher D. and
Carpenter, Bob",
booktitle = "Proceedings of the Fifth International Workshop on Parsing Technologies",
month = sep # " 17-20",
year = "1997",
address = "Boston/Cambridge, Massachusetts, USA",
publisher = "Association for Computational Linguistics",
url = "https://aclanthology.org/1997.iwpt-1.18",
pages = "147--158",
abstract = "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 tes bed due to the flatness of its bracketings and to the obvious overgeneration and undergeneration of its induced grammar.",
}
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<abstract>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 tes bed due to the flatness of its bracketings and to the obvious overgeneration and undergeneration of its induced grammar.</abstract>
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%0 Conference Proceedings
%T Probabilistic Parsing using Left Corner Language Models
%A Manning, Christopher D.
%A Carpenter, Bob
%S Proceedings of the Fifth International Workshop on Parsing Technologies
%D 1997
%8 sep" 17 20"
%I Association for Computational Linguistics
%C Boston/Cambridge, Massachusetts, USA
%F manning-carpenter-1997-probabilistic
%X 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 tes bed due to the flatness of its bracketings and to the obvious overgeneration and undergeneration of its induced grammar.
%U https://aclanthology.org/1997.iwpt-1.18
%P 147-158
Markdown (Informal)
[Probabilistic Parsing using Left Corner Language Models](https://aclanthology.org/1997.iwpt-1.18) (Manning & Carpenter, IWPT 1997)
ACL
- Christopher D. Manning and Bob Carpenter. 1997. Probabilistic Parsing using Left Corner Language Models. In Proceedings of the Fifth International Workshop on Parsing Technologies, pages 147–158, Boston/Cambridge, Massachusetts, USA. Association for Computational Linguistics.