Headedness and exocentric compounding

IF 0.7 N/A LANGUAGE & LINGUISTICS Word Structure Pub Date : 2020-07-01 DOI:10.3366/word.2020.0168
V. A. Nóbrega, Phoevos Panagiotidis
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引用次数: 3

Abstract

Semantic headedness typically serves as the primary criterion for compound endocentricity, i.e. whether a compound has a head. The semantic head is often defined as the hyperonym from which the denotation of the compound is derived, with exocentric compounds being those whose denotation is not a subclass of that of their head element. Headedness, so defined, leads us to analyze every non-compositional compound as exocentric. We explore the boundaries between semantic exocentricity and non-compositionality using established diagnostics in order to decide whether a semantic characterization of headedness is valid, and to determine whether exocentricity and non-compositionality coincide. Assuming a syntactic model of morphological combinatorics we show that exocentricity must be defined configurationally, occurring when the structure of a compound modifies an external entity, frequently instantiated by an empty noun. Hence exocentricity is not the absence of a head, but the realization of the compound's head outside its internal structure. Non-compositionality, in turn, derives from how the root of each constituent member of a compound is compositionally or idiosyncratically interpreted. Finally, we put forth a new typological distribution of exocentric compounds, discriminating real exocentric compounds (bahuvrihi and dvandva) from compounds that are commonly, but wrongly, defined as exocentric (e.g. deverbal and de-prepositional compounds).
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头和外心复合
语义头性通常是判断复合词内心性的主要标准,即复合词是否有头。语义词头通常被定义为衍生复合词外延的双音词,外延不是其词头元素的子类的复合词。头性,如此定义,导致我们分析每一个非组成的化合物作为外心。我们使用已建立的诊断来探索语义外心性和非组合性之间的边界,以确定头部的语义特征是否有效,并确定外心性和非组合性是否一致。假设形态组合学的句法模型,我们表明外心性必须在构型上定义,当一个化合物的结构修饰一个外部实体时,通常由一个空名词实例化。因此,外心性并不是头部的缺失,而是化合物的头部在其内部结构之外的实现。非组合性,反过来,源于一个化合物的每个组成成员的根是如何组合或特殊解释的。最后,我们提出了一种新的外心化合物的类型分布,将真正的外心化合物(bahuvrihi和dvandva)与通常被错误定义为外心的化合物(如deverbal和deprepositional化合物)区分开来。
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来源期刊
Word Structure
Word Structure LANGUAGE & LINGUISTICS-
CiteScore
1.60
自引率
0.00%
发文量
10
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