Meningkatkan keterampilan matematis siswa melalui model pbl pada materi persamaan linear
Keywords:
Problem-Based Learning, mathematical problem solving, linear equations, Polya’s stages, innovative instructionAbstract
The development of Machine Translation (MT) technology has provided convenience in translating various types of texts, including foreign song lyrics. However, translating song lyrics containing metaphorical, emotional, and cultural elements remains a challenge for translation machines, especially in Arabic amiyah dialects. This study aims to analyze the accuracy level of the Indonesian translation of the song lyrics “Law Tesmah Ya Hawa” by Kamel Ehab translated from Arabic into Indonesian using DeepL based on Mangatur Nababan’s translation quality theory. This research employed a descriptive qualitative approach with documentation techniques. The primary data consisted of the original song lyrics and the translation results generated by DeepL, while secondary data were obtained from books and journals related to machine translation and translation quality. The analysis used an accuracy rating instrument with three categories: accurate, less accurate, and inaccurate. The findings revealed that out of 12 analyzed data, 8 data (66.7%) were categorized as accurate, 3 data (25%) as less accurate, and 1 data (8.3%) as inaccurate. Translation errors were generally caused by meaning distortion, inability to understand cultural contexts, and inaccurate translation of Arabic amiyah dialects. Therefore, DeepL is considered capable of translating the general meaning of song lyrics, although it still has limitations in accurately conveying aesthetic elements and implicit meanings.
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