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.
REF compared two approaches for Arabic-Chinese language pair with direct MT system through English as a pivot language.
Improving Arabic-Chinese Statistical Machine Translation using English as Pivot Language
Proceedings of the Fourth Workshop on Statistical Machine Translation
Computer Science