Title
Learning of Stochastic Context-Free Grammars by Means of Estimation Algorithms and Initial Treebank Grammars
Abstract
In this paper we study the problem of learning of Stochastic Context-Free Grammars by means of estimation algorithms. In these algorithms, which are based on a gradient descendent technique, the initial model play an important role. Here we explore the use of initial SCFG obtained from a treebank corpus. Experiments on the UPenn Treebank corpus are reported.
Year
DOI
Venue
2003
10.1007/978-3-540-44871-6_47
Lecture Notes in Computer Science
Keywords
Field
DocType
stochastic context free grammar
Rule-based machine translation,Terminal and nonterminal symbols,Mean estimation,L-attributed grammar,Context-free grammar,Computer science,Algorithm,Synchronous context-free grammar,Natural language processing,Artificial intelligence,Treebank
Conference
Volume
ISSN
Citations 
2652
0302-9743
4
PageRank 
References 
Authors
0.44
7
4
Name
Order
Citations
PageRank
Diego Linares1244.54
Joan-Andreu Sánchez219829.00
José-Miguel Benedí331829.43
Francisco Torres440.44