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

Sukchatri Prasomsuk

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

Sukchatri Prasomsuk * §

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

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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.

References

12 Cites in Article

Reference Format

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Sukchatri Prasomsuk,Puthy Mol (2017). Thai to Khmer Rule-Based Machine Translation Using Reordering Word to Phrase.

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Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

How to Cite This Article

Sukchatri Prasomsuk. 2017. "Thai to Khmer Rule-Based Machine Translation Using Reordering Word to Phrase". Global Journal of Computer Science and Technology - H: Information & Technology GJCST-H Volume 17 (GJCST Volume 17 Issue H3).

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GJCST Volume 17 Issue H3

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Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords

Not Found

Classification

GJCST-H Classification H.1.2

I.2.7

Submission ReceivedDecember 8, 2016
Peer Review Double Blind
Handling Editor
Accepted January 5, 2017
Published January 15, 2017

Version of record

v1.2

Issue date

August 14, 2017

Language

English

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Article Matrices

Total Score: 122

Country: Thailand

Subject: Global Journal of Computer Science and Technology

Authors: Sukchatri Prasomsuk, Puthy Mol (PhD/Dr. count: 0)

View Count (all-time): 484

Total Views (Real + Logic): 1357

Total Downloads (simulated): 95

Publish Date: 2017 01, Sun

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Total Views: 1.4K

Total Downloads: 95

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