Quantified nominal phrases in standard Arabic display three word-order patterns: Q-DP, short-distance Q-float, and long-distance Q-float. The study investigates whether these patterns are derivationally related or whether they represent different structures. For the Q-DP pattern, the study shows that Q is a head that contains the DP as its complement. For Q-float constructions, the study reviews three major analyses including the stranding analysis, the adjunct analysis, and the labelling analysis, which all share the assumption that Q-float is derived by movement of the associate DP form a position within QP or near QP to its surface position. These previous analyses are shown to be empirically inadequate. Instead, Q-float is argued to be derived by base-generation of the nominal associate in its surface position rather than by NP-movement. Q in Q-float structures is argued to be an NP adjunct, albeit for universal quantifiers. Floating generalized quantifiers are better analyzed as arguments that might include the associate DP as a specifier.
Quantified nominal phrases in standard Arabic display three word-order patterns: Q-DP, short-distance Q-float, and long-distance Q-float. The study investigates whether these patterns are derivationally related or whether they represent different structures. For the Q-DP pattern, the study shows that Q is a head that contains the DP as its complement. For Q-float constructions, the study reviews three major analyses including the stranding analysis, the adjunct analysis, and the labelling analysis, which all share the assumption that Q-float is derived by movement of the associate DP form a position within QP or near QP to its surface position. These previous analyses are shown to be empirically inadequate. Instead, Q-float is argued to be derived by base-generation of the nominal associate in its surface position rather than by NP-movement. Q in Q-float structures is argued to be an NP adjunct, albeit for universal quantifiers. Floating generalized quantifiers are better analyzed as arguments that might include the associate DP as a specifier.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.