We present a comparison of two approaches for Arabic-Chinese machine translation using English as a pivot language: sentence pivoting and phrase-table pivoting. Our results show that using English as a pivot in either approach outperforms direct translation from Arabic to Chinese. Our best result is the phrase-pivot system which scores higher than direct translation by 1.1 BLEU points. An error analysis of our best system shows that we successfully handle many complex Arabic-Chinese syntactic variations.
Their researches indicate that using English as a pivot language in either approaches leads to better results than the direct translation from Arabic to Chinese REF .
Improving Arabic-Chinese Statistical Machine Translation using English as Pivot Language
Proceedings of the Fourth Workshop on Statistical Machine Translation
Computer Science