Automatic Error Correction, Machine translation, pre-processing,
Arabic User-Generated content.
With the wide spread of the social media and online forums,
individual users have been able to actively participate in the generation
of online content in different languages and dialects. Arabic is one of the
fastest growing languages used on Internet, but dialects (like Egyptian
and Saudi Arabian) have a big share of the Arabic online content. There
are many differences between Dialectal Arabic and Modern Standard
Arabic which cause many challenges for Machine Translation of informal
Arabic language. In this paper, we investigate the use of Automatic Error
Correction method to improve the quality of Arabic User-Generated
texts and its automatic translation. Our experiments show that the new
system with automatic correction module outperforms the baseline system
by nearly 22.59% of relative improvement.