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A multidimensional analysis of the Spanish reportative epistemic evidential dizque
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Serial verb constructions and the syntax-prosody interface
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Tyler, M; Kastner, I. - : Springer Science and Business Media LLC, 2022. : Natural Language and Linguistic Theory, 2022
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Las estructuras de dativo simpatético en lengua alemana: ¿dativo, o también ‘acusativo simpatético’? ; Structures of the sympathetic dative in german: dative or also “sympathetic accusative”?
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In: Pragmalingüística, (29), 245-261 (2022)
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Automated written corrective feedback: Error-correction performance and timing of delivery
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Ranalli, Jim; Yamashita, Taichi. - : University of Hawaii National Foreign Language Resource Center, 2022. : Center for Language & Technology, 2022. : (co-sponsored by Center for Open Educational Resources and Language Learning, University of Texas at Austin), 2022
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Register effects and the Spanish adjectival construction sin + INF in historical corpus data
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Joint learning of morphology and syntax with cross-level contextual information flow
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In: 2022 ; 1 ; 33 (2022)
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When Church Slavonic meets Latin: Tradition vs. Innovation
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Tomelleri. - : De Gruyter, 2022. : country:DEU, 2022. : place:Berlin, 2022
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A CORPUS STUDY OF THE DEVELOPMENT OF THE ADJECTIVE PHRASE IN FRENCH CHILDREN
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In: Theses and Dissertations--Linguistics (2022)
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Language Interfaces in Adult Heritage Language Acquisition: A Study on Encoding of Nominal Reference in Mandarin Chinese as a Heritage Language
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In: Modern and Classical Languages, Literatures and Cultures Faculty Publications (2022)
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Investigating the relationship between individual differences and island sensitivity
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How Well Do LSTM Language Models Learn Filler-gap Dependencies?
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Evaluating Structural Economy Claims in Relative Clause Attachment
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Incremental Acquisition of a Minimalist Grammar using an SMT-Solver
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Can language models capture syntactic associations without surface cues? A case study of reflexive anaphor licensing in English control constructions
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Universal Dependencies and Semantics for English and Hebrew Child-directed Speech
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Learning Constraints on Wh-Dependencies by Learning How to Efficiently Represent Wh-Dependencies: A Developmental Modeling Investigation With Fragment Grammars
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Typological Implications of Tier-Based Strictly Local Movement
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In: Proceedings of the Society for Computation in Linguistics (2022)
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Parsing Early Modern English for Linguistic Search
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In: Proceedings of the Society for Computation in Linguistics (2022)
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The Linearization of V(P)-doubling Constructions
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In: Doctoral Dissertations (2022)
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Abstract:
When an item moves, it is usually pronounced once but in some cases, it is pronounced multiple times. So, a question is: What determines whether a moved item gets pronounced in only one of its positions or in multiple positions? This dissertation aims at providing an answer to this question by designing a linearization process that yields the correct phonetic realization of a moved item, with a focus on V(P) movement. In particular, this dissertation provides a detailed analysis of how V(P)-doubling cases are linearized and thus show how a V(P) ends up being pronounced multiple times. Regarding the proposed linearization process in this dissertation, following Kusmer (2019), I assume that the basic linearization process contains Candidates Generator G, which generates a set of precedence relations, and Constraints, which pick the right subset from G. As for the Constraints, I adapt the Totality Constraint and the Asymmetry Constraint from Kayne (1994), the Anti-reflexivity Constraint from Partee, ter Meulen and Wall (1990), and Language Specific Constraints from Wilder (1999) and Kusmer (2019). In addition, I propose an Ordering Deletion rule that gets rid of redundant precedence relations and a Set-to-String algorithm that turns a set of precedence relations into a string. Furthermore, I adopt the idea from Fox and Pesetsky (2005) that linearization of precedence relations is implemented in a cyclic way. Also, I employ the idea behind Nunes (2004)'s morphological reanalysis that a higher level node can be linearized instead of the nodes it contains given certain circumstances. Finally, I present the predictions made by the proposed linearization process, which can be evaluated against more data for future research.
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Keyword:
linearization; Mandarin Chinese; syntax; verb-doubling; VP-doubling
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URL: https://scholarworks.umass.edu/dissertations_2/2487 https://scholarworks.umass.edu/cgi/viewcontent.cgi?article=3527&context=dissertations_2
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