Applying link grammar formalism in the development of English-Indonesian machine translation system

N., Zamin and B., Baharudin and T.B., Adji (2008) Applying link grammar formalism in the development of English-Indonesian machine translation system. In: 9th Int. Conf. Artificial Intelligence and Symbolic Computation, AISC 2008 - 15th Symposium on the Integration of Symbolic Computation and Mechanized Reasoning, Calculemus 2008 - 7th Int. Conf. Mathematical Knowledge Management, MKM 2008, 28 July 2008 through 1 August 2008, Birmingham.

Warning
There is a more recent version of this item available.
[thumbnail of paper.pdf] PDF
paper.pdf
Restricted to Registered users only
Download (12kB)
Official URL: http://www.scopus.com/inward/record.url?eid=2-s2.0...

Abstract

In this paper, we present a Machine Translation (MT) system from English to Indonesian by applying Link Grammar (LG) formalism. The Annotated Disjunct (ADJ) technique available in the LG formalism is utilized to map English sentences into equivalent Indonesian sentences. The ADJ is a promising technique to deal with target languages that do not have grammar formalism, parser, and corpus available like Indonesian language. An experimental evaluation shows that the applicability of LG for Indonesian language worked as expected. We have also discussed some significant issues to be considered in future development. © 2008 Springer-Verlag Berlin Heidelberg.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Administrative data processing; Artificial intelligence; Classification (of information); Computer aided language translation; Computer networks; Information management; Information theory; Knowledge management; Management information systems; Query languages; Speech transmission; Translation (languages); Annotated disjunct; International conferences; Link grammar; Natural language processing; Parsing algorithm; Mathematical techniques
Subjects: Q Science > Q Science (General)
Q Science > QA Mathematics > QA75 Electronic computers. Computer science
Departments / MOR / COE: Departments > Computer Information Sciences
Depositing User: Mrs Norshuhani Zamin
Date Deposited: 24 Feb 2010 14:53
Last Modified: 19 Jan 2017 08:26
URI: http://scholars.utp.edu.my/id/eprint/176

Available Versions of this Item

Actions (login required)

View Item
View Item
Altmetric