Diacritic restoration has gained importance with the growing need for machines to
understand written texts. The task is typically modeled as a sequence labeling problem and …

Lexical ambiguity, a challenging phenomenon in all natural languages, is particularly
prevalent for languages with diacritics that tend to be omitted in writing, such as Arabic …

We investigate two research questions:(1) how do machine translation (MT) and
diacritization influence the performance of each other in a multi-task learning setting (2) the …

The widespread absence of diacritical marks in Arabic text poses a significant challenge for
Arabic natural language processing (NLP). This paper explores instances of naturally …

Word embedding is used to represent words for text analysis. It plays an essential role in
many Natural Language Processing (NLP) studies and has hugely contributed to the …

Diacritic restoration is the task of assigning diacritics (accents) for each character in a given
segment. The typical input levels that have been previously used in diacritic restoration …

Diacritization plays a pivotal role for meaning disambiguation and improving readability in
Arabic texts. Efforts have long focused on marking every eligible character (Full …

Languages that include diacritics in speech but omit diacritics in writing to a certain degree
result in written texts that are even more ambiguous than typically expected. Not including …

This paper introduces a lexical resource, ARLEX, for Modern Standard Arabic (MSA) that
explicitly lists ambiguity at the lexical and syntactic levels for each token. Arabic orthography …