Dear Mr. @vdw
thank you for your time and your cooperation.
I got your point in the previous comment " there’s no difference between English and Arabic due to the reading direction".
Actually, this is my fault. I didn’t explain my question in a clear and direct way, and I’m sorry about that.
Recently, I tried to develop my first model in GEC based on CNN. Everything worked well, and I got promising results.  Now, I’m going to improve results based on the paper idea, that I was posted in the previous comment. the next paragraph is copy pest from the paper.
“Based on the idea of multi-round correction, we further propose an advanced fluency boost inference approach: round-way error correction. Instead of progressively correcting a sentence with the same seq2seq model as introduced, round-way correction corrects a sentence through a right-to-left seq2seq model and a left-to-right seq2seq model successively.”
Accordingly, I’m looking for a way to apply a right-to-left seq2seq model and a left-to-right seq2seq model, just to improve results, not a language matter.
This stage is just for applying several approaches I have read in some papers.
I hope now I explained my question clearly.
Again, I’m so sorry for the misunderstanding and spending your time.