[ms] Translating Phrases of Al-Idafah of Arab-Malay Using Google Translate

Authors

  • Khadijah sjahrony Jabatan Pengajian Arab dan Tamadun Islam Fakulti Pengajian Islam Universiti Kebangsaan Malaysia 43600 UKM Bangi Selangor D.E. MALAYSIA
  • Maheram Ahmad Jabatan Pengajian Arab dan Tamadun Islam Fakulti Pengajian Islam Universiti Kebangsaan Malaysia 43600 UKM Bangi Selangor D.E. MALAYSIA

Keywords:

Al-idafah, al-’Ankabut, Mustafa Mahmud, Nahmar Jamil

Abstract

ABSTRACTTechnology has created a new style in the translation when the translation machine is designed and created to facilitatethe learning of language and translation. Machine is used to help work done by human. Translation machine and languagehas a close relationship with each other. Arabic language consists of a string of phrases that form it. A phrase representthe portion of verse which has one combination of a particular meaning. Aspect of backup is essential for a word tocomplete the meaning of a sentence. In Arabic it has been known as al-Idafah. Automatic machines are only dependenton the software and words bank, while people use their skills for translating. Both having the ability to translate text,but however, which translation can be able to produce a good translationy. Therefore, this research wants to see andanalyze the comparison of translation between human and machine in translating the phrase idafah as well as seeingthe advantages and lack between both. Translated text being taken from al-’Ankabut, which work of a famous Egyptianwriter, Mustafa Mahmud. Data analysis were conducted with qualitative methods using descriptive analysis involvingcomparison of two categories of engine Google’s translation represents the machine translation and by a human translator,i.e. Nahmar Jamil. Simple random sampling method used for obtain samples phrases idafah which existing in the novel.The study found that machine can not afford to translate the phrases idafah perfectly,whereas the human translation stillhaving a good value and quality compared to the machine.

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