DocumentCode :
1954753
Title :
A Semi-Supervised Approach on Using Syntactic Prior Knowledge for Construction Thai Treebank
Author :
Ruangrajitpakorn, Taneth ; Boonkwan, Prachya ; Supnithi, Thepchai ; Bangcharoensap, Phiradet
Author_Institution :
Human Language Technol. Lab., NECTEC, Thailand
fYear :
2010
fDate :
28-30 Dec. 2010
Firstpage :
285
Lastpage :
288
Abstract :
This paper presents an efficient approach to use small syntactic category for constructing large tree with the assist of linguistic knowledge for parsing Thai language. VB-EM algorithm is exploited to adjust parameters of any trees for selecting the best tree. Our best result is 70.62% accuracy of bracketing recovery.
Keywords :
computational linguistics; learning (artificial intelligence); tree data structures; Thai language; VB-EM algorithm; construction Thai Treebank; linguistic knowledge; semi supervised approach; syntactic category; syntactic prior knowledge; categorial dependency grammar; semi-supervised learning; syntactic prior knowledge; treebank costruction;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Asian Language Processing (IALP), 2010 International Conference on
Conference_Location :
Harbin
Print_ISBN :
978-1-4244-9063-9
Type :
conf
DOI :
10.1109/IALP.2010.17
Filename :
5681574
Link To Document :
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