ASSESSMENT RESULT OF ACCURACY AND ACCEPTABILITY OF ABBREVIATION ON CNN INDONESIA, 2024
Keywords:
abbreviation, accuracy, acceptability, CNN IndonesiaAbstract
The raising of technology leads to Machine Translation becoming assisting tool to translate the text in the social media. For example, in Instagram, developed by Meta, the latest version called Neural Machine Translation works by using neural networks and builds and trains an extensive neural network that reads a sentence and outputs the correct translation, even this translation is used by CNN Indonesia on Instagram. This study aims to identify, investigate, and examine the quality translation of the abbreviation on CNN Indonesia's Instagram. The data were collected through content analysis and focus group discussion. The researcher found 72 data contain abbreviation types such as 51 data of abbreviation and 21 data of acronymization. This led to the sum of 2.50 for accuracy 1.80 for acceptability of abbreviation, 2.30 for accuracy, and 2.00 for acceptability of acronymization.