For example, the word "AlElm" 1 can accept many possible core-word diacritics depending on the intended meaning 1 In this paper, we use Buckwalter transliteration.
we approached the task as a sequence-to-sequence (seq2seq) problem ; taking advantage of the recent advancements in Neural Machine Translation (NMT) (Britz et al., 2017;Kuchaiev et al., 2018) among other applications where seq2seq models made a breakthrough (Yu et al., 2016;Witten et al., 2016;Abadi et al., 2016).