Machine Translation Essay

Machine Translation Essay

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Machine Translation
Abstract

In this paper, the overview of machine translation (MT) is presented. The original idea of MT has been investigated since 1950s by many research groups and at present many MT systems have been created and developed around the world. Three approaches of MT systems: direct translation, transfer and interlingual approaches are common systems. The main idea of direct translation approach is word-by-word replacement before the transformation of the structure from source language (SL) to target language (TL). The translation is finished in only one step. The transfer approach transforms the SL to the TL through several stages with different kind of temporarily structural language. Finally, the interlingual approach stands on the idea of transform the SL to the TL through a neutral language or interlingual language (IL).
Introduction

Language is a tool for communication about the world. Two categories of language are programming language (PL) and natural language (NL). Programming language is a tool for communication between human and computer, whereas natural language is a tool for communication among people. In this paper, we will focus on natural language.

Different nations (or regions) use different languages as a way to communicate to each other. Communication between two people who know two different languages needs an interpreter who understands both languages. Even though most people have an ability to study and understand several languages, it takes time to do so, and so far, nobody is able to understand all the languages in this world. Therefore, the idea of translating languages by a machine, so-called machine translation (MT), was promised in mid-20 century and defined as follows:

"M...


... middle of paper ...


... represents only the overview of MT systems and survey of MT researches. In the next paper, the details of process in MT system will be presented.
References

[1] W.J. Hutchins, Machine Translation: past, present and future, Ellis Horwood Limited, 1986.

[2] Bonnie Dorr, Lecture note on CMSC 723: Natural Language Processing, University of Maryland, College Park, Spring 1996.

[3] W. J. Hutchins and H. L. Somers, An Introduction to Machine Translation, Academic Press.

[4] http://www.lti.cs.cmu.edu/Research/CMT-home.html

[5] http://www.isi.edu/natural-language/nlp-at-isi.html

[6] http://www.umiacs.umd.edu/labs/CLIP/mt.html

[7] http://clwww.essex.ac.uk/group/

[8] http://www.ttt.org/

[9] http://www.paho.org/english/machine.htm

[10] http://www.iss.nus.sg/RND/MLP/Projects/MT/mt.html

[11] http://www.kmitt.ac.th/organization/Research/resp2.htm

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