Quantifier float as stranding

Zyman, Erik

doi:10.1007/s11049-017-9393-9

Cited by 8 publications

(4 citation statements)

References 34 publications

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“…Quantifier float (Q-float) occurs when a quantifier is separated from its associate nominal, as has been first observed by at least Postal (1974) and discussed in much later work (e.g., Kayne 1975;Fiengo & Lasnik 1976;Sportiche 1988;Shlonsky 1991;Bobaljik 1995;Doetjes 1997;Benmamoun 1999;McCloskey 2000;Bobaljik 2003;Bošković 2004;Fitzpatrick 2006;Spector 2009;Jenks 2013;Lacerda 2016;Zyman 2018). The example in (1b) is representative:…”

Section: Introductionmentioning

confidence: 85%

“…Two accounts have been proposed in the literature: the movement/stranding analysis and the adverbial/adjunct analysis. Proponents of the stranding analysis claim that Q-float results from leftward movement of the associate nominal away from the quantifier (Giusti 1990;Shlonsky 1991;Merchant 1996;Cinque 1999;McCloskey 2000;Zyman 2018, among others). 8 One major version of this analysis in the literature on Semitic languages like Arabic and Hebrew is Shlonsky (1991) in which it is proposed that Hebrew kol 'all' (and its Arabic equivalent) is a functional head that selects a dp complement.…”

Section: Remarks On Previous Accountsmentioning

confidence: 99%

“…Different accounts were offered to explain the Q-float phenomenon. One account, the movement/stranding account, argues that Q-float results from leftward movement of the associate nominal out of a complex constituent that contains both it and the quantifier (e.g., Giusti 1990;Shlonsky 1991;Merchant 1996;Cinque 1999;McCloskey 2000;Zyman 2018). Another account is the adverbial/adjunct analysis which simply treats floating quantifiers (FQs) as adverbial elements that semantically modify the predicates In contrast, a language like Japanese allows numerals to float (e.g., Miyagawa 1989;Kobuchi-Philip 2007):…”

Section: Introductionmentioning

confidence: 99%

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Floating quantifiers are autonomous phrases: A movement analysis

Khalaf

2019

Glossa: A Journal of General Linguistics

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Quantifier float (Q-float) is a phenomenon in which a quantifier is separated from the nominal it associates with (The cookies will all have been eaten up by then!). The phenomenon has received two major analyses: stranding and adjunction. The stranding analysis argues that the associate moves leftward out of a complex constituent that contains both it and the floating quantifier. The adjunction analysis considers floating quantifiers to be adverbial adjuncts. This paper investigates Q-float in Arabic and shows that neither of the existing accounts perfectly captures the facts. Adopting Ott's (2012;2015) analysis of split topics and Q-float in German, the paper proposes that in Arabic, a floating quantifier and its associate are merged together in a particular syntactic position as a set of autonomous phrases; the associate moves out of the set to allow the set to be labeled and integrated in the structure. It will be shown that this labeling analysis captures many of the peculiarities of Q-float, among which are two apparently conflicting facts: the locality restrictions on floating quantifiers and, in many cases, the impossibility for the floating quantifier and the associate to have formed a continuous constituent at any stage of the derivation. The facts and analysis presented contribute to the debate on whether floating quantifiers mark the positions of lower copies of displaced nominals (np traces in pre-minimalist terms), providing an argument that, at least for Arabic, the answer is 'yes'. It also provides additional support for the labeling framework that emerged from Chomsky (2013) and related work.

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Section: Introductionmentioning

confidence: 85%

Section: Remarks On Previous Accountsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Floating quantifiers are autonomous phrases: A movement analysis

Khalaf

2019

Glossa: A Journal of General Linguistics

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“…4, 2004, pp. 681-742;Zyman, Erik, "Quantifier float as stranding: Evidence from Janitzio P'urhepecha", Natural Language and Linguistic Theory, vol. 36, 2018Theory, vol.…”

Section: The Stranding Analysismentioning

confidence: 99%

ظاهرة الشكوى في شعر ابن الحدّاد الأندلسي: قراءة نفسية لحيل الدفاع اللاشعورية

Alsarayreh

2022

JJALL

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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.

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Memory Retrieval in Online Sentence Parsing: Empirical Evidence, Computational Modelling, and Simulations

Fujita

2024

Comput Brain Behav

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This paper reports two experiments (Experiments 1 and 2) and computational simulations designed to investigate and model memory retrieval processes during real-time sentence processing. Central to this study is the hypothesis that linguistic information serves as a cue to retrieve target representations from memory during dependency formation. The basis for this cue-based memory retrieval stems from research showing that non-target representations that match a set of retrieval cues interfere with target retrieval. The susceptibility to this similarity-based interference has been debated in the sentence processing literature, and various hypotheses and models have been formulated and developed. This issue is addressed empirically in Experiments 1 and 2, which investigated similarity-based interference in sentences with a floating quantifier. Bayesian linear mixed models and Bayes factor analyses suggested similarity-based interference. However, the patterns of interference were not consistent with existing theories and models. To reconcile these findings within the framework of cue-based memory retrieval, this paper implements the Revision Integrated Cue-Based (RICB) model based on the ACT–R architecture. This model assumes that structural information is heavily weighted and incorporates the notions of initial retrieval and revision. The results of the simulations indicate that the RICB model successfully predicts the observed data, highlighting the central role of structural information and revision in memory retrieval during real-time sentence processing.

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Quantifier float as stranding

Cited by 8 publications

References 34 publications

Floating quantifiers are autonomous phrases: A movement analysis

Floating quantifiers are autonomous phrases: A movement analysis

ظاهرة الشكوى في شعر ابن الحدّاد الأندلسي: قراءة نفسية لحيل الدفاع اللاشعورية

Memory Retrieval in Online Sentence Parsing: Empirical Evidence, Computational Modelling, and Simulations

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