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EMNLP
2009
14 years 7 months ago
Improving Dependency Parsing with Subtrees from Auto-Parsed Data
This paper presents a simple and effective approach to improve dependency parsing by using subtrees from auto-parsed data. First, we use a baseline parser to parse large-scale una...
Wenliang Chen, Jun'ichi Kazama, Kiyotaka Uchimoto,...
CICLING
2010
Springer
15 years 11 days ago
Systematic Processing of Long Sentences in Rule Based Portuguese-Chinese Machine Translation
The translation quality and parsing efficiency are often disappointed when Rule based Machine Translation systems deal with long sentences. Due to the complicated syntactic structu...
Francisco Oliveira, Fai Wong, Iok-Sai Hong
EACL
2003
ACL Anthology
14 years 11 months ago
Neural Network Probability Estimation for Broad Coverage Parsing
We present a neural-network-based statistical parser, trained and tested on the Penn Treebank. The neural network is used to estimate the parameters of a generative model of left-...
James Henderson
ANLP
2000
92views more  ANLP 2000»
14 years 11 months ago
Left-To-Right Parsing and Bilexical Context-Free Grammars
We compare the asymptotic time complexity of left-to-right and bidirectional parsing techniques for bilexical context-free grammars, a grammar formalis an abstraction of language ...
Mark-Jan Nederhof, Giorgio Satta
ICML
2005
IEEE
15 years 10 months ago
Exploiting syntactic, semantic and lexical regularities in language modeling via directed Markov random fields
We present a directed Markov random field (MRF) model that combines n-gram models, probabilistic context free grammars (PCFGs) and probabilistic latent semantic analysis (PLSA) fo...
Shaojun Wang, Shaomin Wang, Russell Greiner, Dale ...