Title | ||
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Learning of Stochastic Context-Free Grammars by Means of Estimation Algorithms and Initial Treebank Grammars |
Abstract | ||
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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 |
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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 Linares | 1 | 24 | 4.54 |
Joan-Andreu Sánchez | 2 | 198 | 29.00 |
José-Miguel Benedí | 3 | 318 | 29.43 |
Francisco Torres | 4 | 4 | 0.44 |