Understanding and Translation Quality of Oral Stories Via Machine Translation
Allif Syahputra Bania- Najihatul Faridy

Universitas Samudra

Abstract

A translation process of considerable quality should possess the ability to effectively communicate a clear and definite meaning from the source language to the target language in oral stories. While machine translation serves as a useful tool for comprehending translated textual content in a general sense, it is important to note that automated machines still possess inherent weaknesses and limitations. The translation of text from oral stories, particularly in relation to language and cultural differences, proves to be a challenging task. This research was undertaken utilizing a qualitative-descriptive approach. The primary objective of this research is to assess the level of translation quality achieved by machine translation in terms of accuracy, acceptability, and readability, and to compare these results with the translations provided in the source, lastly to know the understanding of students about translation quality of oral stories via machine translation. The findings of this research indicate that 80% of the translations exhibit a high level of accuracy, while 20% are somewhat less accurate. Furthermore, 20% of the translations are deemed acceptable, while 80% are regarded as less acceptable. Finally, 37.5% of the translations demonstrate a high degree of readability, whereas 62.5% exhibit a moderate level of readability. Upon comparing the translation results obtained from machine translation with the original translations presented in real book, it was determined that 100% of the translations in the book were found to be satisfactory in terms of accuracy, acceptability, and readability. Although the translations from English to Indonesian of comedy texts via Google Translate are deemed satisfactory, there is still room for improvement and ongoing development in order to enhance the quality of these translations. Also, all students are well aware of the translation quality of oral stories via machine translation.

Keywords: Machine Translation- Oral Stories- Qualituy of Translation- Understanding

Topic: Technology in Education