Translation of technical terminologies between English and Korean based on textual big data. (1st August 2014)

• Record Type: Journal Article
• Authors: Kim, Taehong; Hwang, Myunggwon; Hwang, Mi‐Nyeong; Song, Sa‐kwang; Jeong, Do‐Heon; Jung, Hanmin; You, Ilsun; Ogiela, Marek R.; Hwang, Myunggwon
• Is Part Of: Software, practice & experience. Volume 45:Number 8(2015)
• Page Start: 1115
• Page End: 1126
• Publication Date: 2014-08-01
• Subjects: Computer software -- Periodicals; Computer programming -- Periodicals; Computer programs -- Periodicals; 005.3
• DOI: 10.1002/spe.2284
• Languages: English
• ISSNs: 0038-0644

Abstract

<abstract abstract-type="main" id="spe2284-abs-0001"> <title>Summary</title> <p id="spe2284-para-0001">A number of web applications provide completely automated machine translation services, allowing users to easily translate information of interest. However, these services still generate inaccurate results when translating technical terminologies. Therefore, we propose a new method that collects reliable pairs of English–Korean technical terms and translates the given English terminology to Korean. To collect the pairs, we utilize textual big data, such as Korean academic papers, and develop a new statistical model to determine appropriate characteristics. Our method is evaluated in terms of the reliability of English–Korean pairs and the precision of translation. We thus confirm that our method can produce highly reliable data and can positively influence the translation quality of technical terminologies. Copyright © 2014 John Wiley &amp; Sons, Ltd.</p> </abstract>