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General Information
Editor-in-chief
Prof. Wael Badawy
Department of Computing and Information Systems Umm Al Qura University, Canada
I'm happy to take on the position of editor in chief of IJCTE. We encourage authors to submit papers concerning any branch of computer theory and engineering.
IJCTE 2017 Vol.9(3):223-228ISSN: 1793-8201
DOI: 10.7763/IJCTE.2017.V9.1142

Thai to Khmer Rule-Based Machine Translation Using Reordering Word to Phrase

Sukchatri Prasomsuk and Puthy Mol
Abstract—Abstract—In this paper, an effective machine translation system from Thai to Khmer language on a website is proposed. To create a web application for a high performance Thai-Khmer machine translation (ThKh-MT), the principles and methods of translation involve with lexical base. Word reordering is applied by considering the previous word, the next word and subject-verb agreement. The word adjustment is also required to attain acceptable outputs. Additional steps related to structure patterns are added in a combination with the classical methods to deal with translation issues. PHP is implemented to build the application with MySQL as a tool to create lexical databases. For testing, 5,100 phrases and sentences are selected to evaluate the system. The result shows 89.25 percent of accuracy and 0.84 for F-Measure which infers to a higher efficiency than that of Google and other systems.

Index Terms—Index Terms—Thai Khmer translation, machine translation (MT), rule based, pattern-based.

The authors are with School of Information and Communication Technology, University of Phayao, 56000, Thailand, (e-mail: sukchatri.pr@up.ac.th, skchatri@hotmail.com, puthymol@gmail.com).

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Cite:Sukchatri Prasomsuk and Puthy Mol, "Thai to Khmer Rule-Based Machine Translation Using Reordering Word to Phrase," International Journal of Computer Theory and Engineering vol. 9, no. 3, pp. 223-228, 2017.

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