Translation Analysis From Indonesian into English on CNN Indonesia News Item Text by Google Translate

Yuniar, Dhianisa Firdausi and , Dr. Anam Sutopo, M.Hum (2021) Translation Analysis From Indonesian into English on CNN Indonesia News Item Text by Google Translate. Skripsi thesis, Universitas Muhammadiyah Surakarta.

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Abstract

This study aims (1) classify the types of grammatical error that occur in translation from Indonesian into English by Google Translate and (2) identify the accuracy of Indonesian translation into English using Google Translate in news item texts from CNN Indonesia. This type of research is descriptive qualitative. The data source is news item text from CNN Indonesia. The object of this research is the news item text on the official CNN Indonesia page. Researcher collected 108 data taken from 4 news item texts on CNN Indonesia, the researcher read carefully, and write down the words with lists, and provides the data code. In analyzing the data, the researcher classifiy the types of grammatical errors supported by Larson's theory and used Nababan's theory to identify accuracy. Based on the analysis, first, the researcher found that there are 26 verb errors (81,25%), 2 subject verb agreement errors (6,25%), 1 pronoun error (3,125%), 2 prepositional errors (6,25), and 1 error. apostrophe (3,125%). Second, the researcher found that there are 88 data accurate (81,49%) and 20 data less accurate (18,51%).

Item Type:	Karya ilmiah (Skripsi)
Uncontrolled Keywords:	translation, CNN Indonesia news item text, Google Translate
Subjects:	L Education > L Education (General)
Divisions:	Fakultas Keguruan dan Ilmu Pendidikan > Pendidikan Bahasa Inggris
Depositing User:	DHIANISA FIRDAUSI YUNIAR
Date Deposited:	20 Aug 2021 01:37
Last Modified:	20 Aug 2021 01:37
URI:	http://eprints.ums.ac.id/id/eprint/93757

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