DocumentCode
3279076
Title
CSG-Tag: Constraint based Synchronous Grammar Tree Annotation System
Author
Wong, Fai ; Oliveira, Francisco ; Chao, Sam ; Sun, Fan
Author_Institution
Fac. of Sci. & Technol., Univ. of Macau, Macao, China
Volume
4
fYear
2011
fDate
10-13 July 2011
Firstpage
1472
Lastpage
1478
Abstract
The construction of grammars and the acquisition of syntactic structures from corpora are always considered as a time consuming task. Moreover, according to the purpose of the application, different standards have to be defined. In Machine Translation (MT), the situation is even more complicated since it covers two languages. In this paper, CSG-Tag, a Constraint based Synchronous Grammar (CSG) Tree Annotation System is proposed. This system provides a semi-automatic annotation process in the creation of syntactic structure of the source sentence linked with the corresponding target sentential patterns. All learned information are stored in Extensible Markup Language (XML) format and can be converted into grammar rules in application to MT. Moreover, the system has a function to import monolingual skeletal bracketing syntactic tree and Translation Corresponding Tree (TCT) structures in the creation of CSG rules.
Keywords
XML; grammars; language translation; trees (mathematics); CSG-Tag; TCT; XML; constraint based synchronous grammar tree annotation system; extensible markup language format; grammar rules; machine translation; monolingual skeletal bracketing syntactic tree; semi-automatic annotation process; syntactic structure acquisition; translation corresponding tree structures; Cybernetics; Databases; Grammar; Knowledge based systems; Machine learning; Syntactics; XML; Constraint Synchronous Grammar; Machine Translation; Translation Corresponding Tree; Tree Annotation system;
fLanguage
English
Publisher
ieee
Conference_Titel
Machine Learning and Cybernetics (ICMLC), 2011 International Conference on
Conference_Location
Guilin
ISSN
2160-133X
Print_ISBN
978-1-4577-0305-8
Type
conf
DOI
10.1109/ICMLC.2011.6017024
Filename
6017024
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