Evidence for Competition During the Processing of Relative Quantifier Scope

2004 ◽  
Author(s):  
Kevin B. Paterson ◽  
Simon P. Liversedge ◽  
Ruth Filik
Keyword(s):  
Quantifier Scope

scholarly journals ON THE RELEVANCE OF HEAD GOVERNMENT TO QUANTIFIER SCOPE

1992 ◽  
Vol 9 (0) ◽  
pp. 223-243
Author(s):  
TOMOYUKI TANAKA
Keyword(s):  
Quantifier Scope

Glue semantics for HPSG

2002 ◽  
Author(s):  
Ash Asudeh ◽  
Richard Crouch
Keyword(s):  
Recent Work ◽  
Semantic Interpretation ◽  
Alternative Form ◽  
Quantifier Scope ◽  
Functional Grammar ◽  
Scope Ambiguity ◽  
Lexical Functional Grammar ◽  
Highly Efficient ◽  
Glue Semantics ◽  
Syntactic Theories

‎The glue approach to semantic interpretation has been developed principally for Lexical Functional Grammar. Recent work has shown how glue can be used with a variety of syntactic theories and this paper outlines how it can be applied to HPSG. As well as providing an alternative form of semantics for HPSG, we believe that the benefits of HPSG glue include the following: (1) simplification of the Semantics Principle; (2) a simple and elegant treatment of modifier scope, including empirical phenomena like quantifier scope ambiguity, the interaction of scope with raising, and recursive modification; (3) an analysis of control that handles agreement between controlled subjects and their coarguments while allowing for a property denotation for the controlled clause; (4) re-use of highly efficient techniques for semantic derivation already implemented for LFG, and which target problems of ambiguity management also addressed by Minimal Recursion Semantics. 

Chapter 8. Focus and quantifier scope

2017 ◽  
pp. 209-238 ◽  
Author(s):  
Balázs Surányi ◽  
Gergő Turi
Keyword(s):  
Quantifier Scope

scholarly journals QUANTIFIER SCOPE AND EVENT

1987 ◽  
Vol 4 (0) ◽  
pp. 273-293
Author(s):  
NOBUHIRO KAGA
Keyword(s):  
Quantifier Scope

How to Neutralize a Finite Clause Boundary: Phase Theory and the Grammar of Bound Pronouns

2018 ◽  
Vol 49 (3) ◽  
pp. 465-499 ◽  
Author(s):  
Thomas Grano ◽  
Howard Lasnik
Keyword(s):  
Subject Position ◽  
Boundary Phase ◽  
Quantifier Scope ◽  
Phase Theory ◽  
Wide Range ◽  
The Subject ◽  
Embedded Clause ◽  
Comparative Deletion ◽  
Finite Clause

A bound pronoun in the subject position of a finite embedded clause renders the clause boundary relatively transparent to relations ordinarily confined to monoclausal, control, and raising configurations. For example, too/ enough-movement structures involving a finite clause boundary are degraded in sentences like * This book is too long [for John to claim [that Bill read ___ in a day]] but improved when the finite clause has a bound pronominal subject as in ? This book is too long [for John1 to claim [that he1 read ___ in a day]]. This bound pronoun effect holds across a wide range of phenomena including too/ enough-movement, tough-movement, gapping, comparative deletion, antecedent-contained deletion, quantifier scope interaction, multiple questions, pseudogapping, reciprocal binding, and multiple sluicing; we confirm the effect via a sentence acceptability experiment targeting some of these phenomena. Our account has two crucial ingredients: (a) bound pronouns optionally enter the derivation with unvalued ϕ-features and (b) phases are defined in part by convergence, so that under certain conditions, unvalued features void the phasal status of CP and extend the locality domain for syntactic operations.

scholarly journals A Machine Learning Approach to Modeling Scope Preferences

2003 ◽  
Vol 29 (1) ◽  
pp. 73-96 ◽  
Author(s):  
Derrick Higgins ◽  
Jerrold M. Sadock
Keyword(s):  
Language Processing ◽  
Data Driven ◽  
Learning Approach ◽  
Quantifier Scope ◽  
Multiple Sources ◽  
Machine Learning Approach ◽  
Theoretical Linguistics ◽  
History Of ◽  
Scope Reading ◽  
Syntactic Annotation

This article describes a corpus-based investigation of quantifier scope preferences. Following recent work on multimodular grammar frameworks in theoretical linguistics and a long history of combining multiple information sources in natural language processing, scope is treated as a distinct module of grammar from syntax. This module incorporates multiple sources of evidence regarding the most likely scope reading for a sentence and is entirely data-driven. The experiments discussed in this article evaluate the performance of our models in predicting the most likely scope reading for a particular sentence, using Penn Treebank data both with and without syntactic annotation. We wish to focus attention on the issue of determining scope preferences, which has largely been ignored in theoretical linguistics, and to explore different models of the interaction between syntax and quantifier scope.

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