Comparing Post-Editing Translations by Google NMT and Yandex NMT

Abstract

This study is aimed at examining the naturalness of post-editing translations using Google NMT and Yandex NMT by English Department students and to determine which of the two NMT tools came closest to the naturalness of a short story's translation. The subjects of this study were English Education students from the University of Mataram who come from the native area. Meanwhile, the object of this study was a short story entitled “Jack and The Beanstalk,” in English version. In this study, the researcher used Larson’s theory as the study’s reference to analyze the naturalness of translation in the short story “Jack and The Beanstalk” from English to Indonesia. The data were obtained by two methods of data collection: observation and documentation. The total data in this study was 1248 sentences, which were analyzed descriptively. The result of this study showed the percentage of text quality in naturalness translation that students produced in conducting post-editing. In GNMT most of the post-editing quality is “highly natural” with 88%, followed by “natural” with 5%, “less natural” with 6%, and “unnatural” with 1%. On the other hand, little few differences were found in YNMT, which shows that most of the post-editing quality is “highly natural” with 81%, followed by “natural” with 6%, “less natural” with 8%, and “unnatural” with 4%. According to that percentage, it can conclude that the quality of naturalness translation in post-editing from GNMT is easier to edit and produce better-translated text than YNMT.

An Analysis on Indonesian—English Abstract Translation to Enhance Multicultural Language in Accounting Department, State Polytechnic of Malang

“…They do not realize that the literal translation generated by machine translation could ruin their language including the incorrect use of some technical terms particularly in the accounting field. This is in line with the research conducted by Adawiyah et. Al (2013) which stated that post-editing is important when people decide to use Google Translate.…”

“…Google Translation systems typically make more errors than humans, and the results may be challenging to comprehend. To achieve high-quality results, students must use their translation knowledge to correct the Google Translation output (Adawiyah et al, 2013). A human translator should ensure that the source and target texts convey the same information and that the translation tone is consistent with the original document.…”