Annotation Guidelines and Framework for Arabic Machine Translation Post-Edited Corpus

1. Introduction Machine translation (MT) became widely used by translation companies to reduce their costs and improve their speed. Therefore, the demand for quick and accurate machine translations is growing. Machine translation (MT) systems often produce incorrect output with many grammatical and lexical choice errors. Correcting machine-produced translation errors, or MT Post-Editing (PE) can be done automatically or manually. The availability of annotated resources is required for such approaches. When it comes to the Arabic language, to the best of our knowledge, there is no MT manually post-edited corpora available to build such systems. Therefore, there is a clear need to build such valuable resources for the Arabic language. In this abstract, we present our guidelines and annotation procedure to create a human corrected MT corpus for the Modern Standard Arabic (MSA). The creation of any manually annotated corpus usually presents many challenges. In order to address these challenges, we created a c...