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MERGE and Pair-Merge of Heads

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dc.contributor.author심재영-
dc.date.accessioned2024-12-03T00:00:43Z-
dc.date.available2024-12-03T00:00:43Z-
dc.date.issued2022-09-
dc.identifier.issn1226-3206-
dc.identifier.urihttps://scholarworks.gnu.ac.kr/handle/sw.gnu/73231-
dc.description.abstractChomsky (2019a,b, 2020) reformulates the standardly assumed conception of Merge in terms of workspace, arguing that the operation only operates over syntactic objects placed in a workspace. Alongside this revised version of Merge, often referred to as ‘(capital) MERGE’ in the literature, he proposes a principle of Resource Restriction which, he claims, MERGE ought to meet. In this paper, I first review the workspace-based operation MERGE and present its empirical and conceptual advantages over its predecessor, Merge. I then examine the two proposals on pair-Merge of heads put forward in Chomsky (2015) and Epstein, Kitahara and Seely (2016) with discussions on their potential conceptual problems with respect to rule ordering and Anti-Locality. I further show that possible implementations of pair-Merge of heads in the MERGE-based system give rise to some new problems in terms of accessibility defined by Minimal Search. Finally, focusing on pair-MERGE of R and v*, I present an alternative analysis to resolve the addressed problems, arguing that the pair-merged structure of R and v* is generated, not in the course of derivation but inside the Lexicon via a merging process I call Lexical Merger, or l-merger.-
dc.format.extent26-
dc.language영어-
dc.language.isoENG-
dc.publisher현대문법학회-
dc.titleMERGE and Pair-Merge of Heads-
dc.title.alternativeMERGE and Pair-Merge of Heads-
dc.typeArticle-
dc.publisher.location대한민국-
dc.identifier.doi10.14342/smog.2022.115.1-
dc.identifier.bibliographicCitation현대문법연구, no.115, pp 1 - 26-
dc.citation.title현대문법연구-
dc.citation.number115-
dc.citation.startPage1-
dc.citation.endPage26-
dc.identifier.kciidART002885063-
dc.description.isOpenAccessN-
dc.description.journalRegisteredClasskci-
dc.subject.keywordAuthorlabeling-
dc.subject.keywordAuthorlexical-merger-
dc.subject.keywordAuthorMERGE-
dc.subject.keywordAuthorMinimal Search-
dc.subject.keywordAuthorPair-Merge-
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