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Phrasal Weight Effect on Word Order.
紀錄類型:
書目-電子資源 : Monograph/item
正題名/作者:
Phrasal Weight Effect on Word Order./
作者:
Liu, Lei.
出版者:
Ann Arbor : ProQuest Dissertations & Theses, : 2022,
面頁冊數:
237 p.
附註:
Source: Dissertations Abstracts International, Volume: 83-08, Section: A.
Contained By:
Dissertations Abstracts International83-08A.
標題:
Linguistics. -
ISBN:
9798790640650
Phrasal Weight Effect on Word Order.
Liu, Lei.
Phrasal Weight Effect on Word Order.
- Ann Arbor : ProQuest Dissertations & Theses, 2022 - 237 p.
Source: Dissertations Abstracts International, Volume: 83-08, Section: A.
Thesis (Ph.D.)--State University of New York at Stony Brook, 2022.
This item must not be sold to any third party vendors.
Natural language shows great flexibility in allowing varying word orders while expressing the same meaning (e.g., Chris put a shirt on and Chris put on a shirt). Yet for a given meaning in a given language, certain word orders are preferred over others. One predicting factor for such preferences is grammatical weight. This is seen in the classic English heavy noun phrase shift construction, where a short-before-long order is preferred.1. Chris put [in the car] [a box filled with magical pens that helped with dissertation writing]. (HNPS) 2. ??Chris put [a box filled with magical pens that helped with dissertation writing] [in the car]. (canonical order)Despite clear intuitions on when a phrase is grammatically heavy, and when a word order is preferred over another, proposals differ vastly in formal definitions of grammatical weight and psycholinguistic mechanisms that explain word order preferences. Following a line of research that approaches sentence processing from a computational perspective, this dissertation investigates grammatical weight and word order preference by showing that the processing difficulty introduced by the weight of a given phrase can be measured in the memory resources required to build the corresponding syntactic structure of that phrase. Furthermore, a top-down parser for Minimalist Grammars (MGs) allows measurements of the memory resources that are plausible cognitively and sensitive to syntactic structures.The dissertation then shows that the processing models based on the MG parser account for the weight effects on word order observed in the heavy NP shift and the particle verb construction in English, and reveal novel preferable weight configurations of the ba construction in Mandarin Chinese.
ISBN: 9798790640650Subjects--Topical Terms:
524476
Linguistics.
Subjects--Index Terms:
Grammatical weight
Phrasal Weight Effect on Word Order.
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Natural language shows great flexibility in allowing varying word orders while expressing the same meaning (e.g., Chris put a shirt on and Chris put on a shirt). Yet for a given meaning in a given language, certain word orders are preferred over others. One predicting factor for such preferences is grammatical weight. This is seen in the classic English heavy noun phrase shift construction, where a short-before-long order is preferred.1. Chris put [in the car] [a box filled with magical pens that helped with dissertation writing]. (HNPS) 2. ??Chris put [a box filled with magical pens that helped with dissertation writing] [in the car]. (canonical order)Despite clear intuitions on when a phrase is grammatically heavy, and when a word order is preferred over another, proposals differ vastly in formal definitions of grammatical weight and psycholinguistic mechanisms that explain word order preferences. Following a line of research that approaches sentence processing from a computational perspective, this dissertation investigates grammatical weight and word order preference by showing that the processing difficulty introduced by the weight of a given phrase can be measured in the memory resources required to build the corresponding syntactic structure of that phrase. Furthermore, a top-down parser for Minimalist Grammars (MGs) allows measurements of the memory resources that are plausible cognitively and sensitive to syntactic structures.The dissertation then shows that the processing models based on the MG parser account for the weight effects on word order observed in the heavy NP shift and the particle verb construction in English, and reveal novel preferable weight configurations of the ba construction in Mandarin Chinese.
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