A Corpus for Modeling Morpho-Syntactic Agreement in Arabic: Gender, Number and Rationality

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Automatic Gender Identification and Reinflection in Arabic (2019, background): “case and state, but also a lexical feature called rationality – a quality typically associated with human actors (Alkuhlani and Habash, 2011).”
Gender-Aware Reinflection using Linguistically Enhanced Neural Models (2020, methodology): “In this work, we make use of morphological analyzers that indicate all the possible gender information of the words in terms of their functional (grammatical) and form-based (afﬁxational) values (Alkuhlani and Habash, 2011).”
Identifying Broken Plurals, Irregular Gender, and Rationality in Arabic Text (2012, methodology): “…challenging are broken plurals (which resemble singular nouns), nouns with irregular gender (masculine nouns that look feminine and feminine nouns that look masculine), and the semantic feature of rationality, which has no morphological realization (Smrž, 2007b; Alkuhlani and Habash, 2011).”
Rich Morphology Generation Using Statistical Machine Translation (2012, background): “Moreover, verbs agree with subjects in G EN only in VSO order while they agree in G EN and N UM in SVO order (Alkuhlani and Habash, 2011).”