TY - CHAP
T1 - Learning of stochastic context-free grammars by means of estimation algorithms and initial treebank grammars
AU - Linares, Diego
AU - Sánchez, Joan Andreu
AU - Benedí, José Miguel
AU - Torres, Francisco
PY - 2003
Y1 - 2003
N2 - 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.
AB - 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.
UR - http://www.scopus.com/inward/record.url?scp=35248889569&partnerID=8YFLogxK
U2 - 10.1007/978-3-540-44871-6_47
DO - 10.1007/978-3-540-44871-6_47
M3 - Chapter
AN - SCOPUS:35248889569
SN - 3540402179
SN - 9783540402176
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 403
EP - 410
BT - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
A2 - Perales, Francisco Jose
A2 - Campilho, Aurelio J. C.
A2 - Perez, Nicolas Perez
A2 - Perez, Nicolas Perez
PB - Springer Verlag
ER -