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