Machine translation, being a recent development in the field of translation, requires continuous evaluation and development to achieve the highest levels of translation, as free as possible from serious errors. One of the challenges facing users of Arabic-English machine translation is the machine's ability to recognize words containing doubling, which results in a change in meaning because Arabic morphology affects semantics. This study selected ten of the best-rated machine translation systems. Four pairs of Arabic words, each pair differing only in a doubling sound, were translated by these machines. The study used a website that combines most of the translation machines for convenience and a screen shot was taken of the translation of each word to let the reader see all the instances of the machines’ translations in one place. The machines’ translations were compared and evaluated to determine their accuracy in distinguishing between the two words making the pair. The results revealed significant inconsistency in the translation of these word pairs.
Ameera Mohammad Fathi (Sun,) studied this question.
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