28 citations · 29 across the 2 of their papers we have counts for
2 papers
cs.CL2019★ 1 cited
Simple Automatic Post-editing for Arabic-Japanese Machine Translation
Ella Noll, Mai Oudah, Nizar Habash
A common bottleneck for developing machine translation (MT) systems for some language pairs is the lack of direct parallel translation data sets, in general and in certain domains.…
cs.CL2019★ 28 cited
The Impact of Preprocessing on Arabic-English Statistical and Neural Machine Translation
Mai Oudah, Amjad Almahairi, Nizar Habash
Neural networks have become the state-of-the-art approach for machine translation (MT) in many languages. While linguistically-motivated tokenization techniques were shown to have…