An Analysis of Korean-English Translation Errors in Google Translate
0
조회
0
다운로드
10
인용
0
참고문헌
키워드
초록
The purpose of this study is to identify types of errors that occur when using Google Translate and to suggest more effective ways to benefit from machine translation translators. The topics in the 30 news articles dealt with health and diet. The researchers directed the error analysis by comparing the English translation of the original Korean text with the eleven categories and their sub-categories. Among those translated by the Google Translate Program, according to our research, the number of sentences that contained errors was 365 (67.2%) and that of correct sentences was 178 (32.8%). Sentence structure errors, the highest of the eleven categories, recorded 172 (21.31%) cases, followed by nouns with 143 (17.72%), and verbs with 119 (14.75%). The findings emphasize the need to learn how to use machine translators effectively. Finally, Google Translate users need to avoid using complex sentences and vague words when translating Korean text into English.
Abstract
The purpose of this study is to identify types of errors that occur when using Google Translate and to suggest more effective ways to benefit from machine translation translators. The topics in the 30 news articles dealt with health and diet. The researchers directed the error analysis by comparing the English translation of the original Korean text with the eleven categories and their sub-categories. Among those translated by the Google Translate Program, according to our research, the number of sentences that contained errors was 365 (67.2%) and that of correct sentences was 178 (32.8%). Sentence structure errors, the highest of the eleven categories, recorded 172 (21.31%) cases, followed by nouns with 143 (17.72%), and verbs with 119 (14.75%). The findings emphasize the need to learn how to use machine translators effectively. Finally, Google Translate users need to avoid using complex sentences and vague words when translating Korean text into English.
참고문헌 (43)
- Ahn, Dong Whan, "English Syntax and Argumentation" (2013), Hankook munhwasa
- Burt, Marina, "Language Two" (1982), Oxford University Press
- Cha, Kyung-Whan, "An Error Analysis of English Writing through Korean College Students English Compositions", English Teaching, 40, pp.139~157 (1990)
- 진정숙, "An Investigation on Written Errors from Low Level College EFL Learners", 영어교육연구, 25(2), pp.1~26 (2013), 팬코리아영어교육학회[DOI]
- "An Artichoke is not a Potato" (2017)[URL]
- 최동익, "무생물 주어 구문에 대한 영한 기계 번역 오류분석", 언어학 연구, (29), pp.279~299 (2013), 한국중원언어학회[DOI]
- "Deep Learning" (2018)[URL]
- D'Haro, Luis Fernando, "Error Analysis of Statistical Machine Translation Output", Proceedings of the Fifth International Conference on Language Resources and Evaluation, pp.697~702 (2006)
- Ferris, Dana R., "Treatment of Error in Second Language Student Writing" (2002), The University of Michigan Press
- Ghasemi, Hadis, "A Comparative Study of “Google Translate” Translations: An Error Analysis of English-to-Persian and Persian-to-English Translations", English Language Teaching, 9(3), pp.13~17 (2016)
- "Pronoun Translation in English-French Machine Translation: An Analysis of Error Types" (2018)[URL]
- "Is It Okay to Eat White Power from Persimmons and Grapes?" (2017)[URL]
- "The Fourth Industrial Revolution" (2018)[URL]
- Kim, Je Hyun, "Summa Cume Laude: English Grammar and Usage" (2010), Erumenb
- "Sweet Potato, Vitamin A· Rich in Dietary Fiber... However, ‘These People' Should to Be Careful to Intake Them" (2017)[URL]
- "Dietary Fiber, Which Is Necessary for Intestinal Health, Also Has the Potential of Becoming Poisonous" (2017)[URL]
- "Moroccan Traditional Stew Tajine" (2017)[URL]
- "Songpyeon is a Healthy Way to Eat" (2017)[URL]
- "What Food Should not Be Eaten in the Morning?" (2017)[URL]
- 서보현, "기계번역 결과물의 오류유형 고찰", 번역학연구, 19(1), pp.99~117 (2018), 한국번역학회[DOI]
- 이준원, "한류가 국가브랜드 태도에 미치는 영향에 관한 연구: 문화차원의 조절효과를 중심으로", 광고PR실학연구, 11(2), pp.123~148 (2018), 한국광고PR실학회[DOI]
- Kim, Youg Seok, "Theories and Phenomena of English Constructions" (2011), Global Contents
- 곽중철, "포스트에디팅 측정지표를 통한 기계번역 오류 유형화 연구", 통번역학연구, 22(1), pp.1~25 (2018), 통번역연구소[DOI]
- "Artificial Intelligence Translation, Language Unification Era is Coming" (2017)[URL]
- Landis, J. Richard, "The Measurement of Observer Agreement for Categorical Data", Biometrics, 33, pp.159~174 (1977)
- "Three Things to Avoid in order to Protect Your Brain Health" (2017)[URL]
- "Aging/Cancer Prevention ‘Tomato' How to Intake for Effective Health" (2017)[URL]
- "Popular Food for Malbok Roasted Eel․ Chueotang, a Person Should Be Careful" (2017)[URL]
- "Seafood Which is Seasonal Food in Haemu-tna, What is Rich Nutrients?" (2017)[URL]
- "Three Kinds of ‘Good Oil’ Eliminated Oils in the Blood Vessel" (2017)[URL]
- "Two Kinds of Food to Combat a Potbelly" (2017)[URL]
- "Whether Glutinous Flour is Really Bad for You?" (2017)[URL]
- "‘God Food’ Cacao Nips Lower Blood Pressure and Have an Antioxidant Effect" (2017)[URL]
- "‘Catechin, 20 Times the Content of Green Tea ... Helps Prevent Hypertension" (2017)[URL]
- "When You Cook Rice with a Small Amount of Soju: This Increases the Effects of the Anti-Oxidants in the Rice" (2017)[URL]
- "Stress Relieved by ‘Spicy Food'... Is it Effective?" (2017)[URL]
- 이노신, "통번역의 미래지평: 인공지능과 소통형 융합통번역 연구", 번역학연구, 17(2), pp.65~89 (2016), 한국번역학회[DOI]
- "Sweet Potato, Vitamin A· Rich in Dietary Fiber... However, ‘These People' Should Be Careful to Intake Them" (2017)[URL]
- 임순정, "구글 번역의 사례연구: 번역품질과 번역단위와의 관계를 중심으로", 번역학연구, 15(1), pp.177~209 (2014), 한국번역학회[DOI]
- Moon, Youg, "Advanced English Grammar" (2008), Parkyoungsa
- 박옥수, "한영 기계 번역에서 ST의 유형적 특징에 따른 번역 오류 분석", 동아인문학, (41), pp.155~183 (2017), 동아인문학회
- Poibeau, Thierry, "Machine Translation" (2017), The MIT Press
- "Waiting for the Day We Can Freely Communicate! The Development of Automatic Translation and Translation Technology was Brought about by the Artificial Neural Network" (2016)[URL]