Network Morphology

Andrew Hippisley
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引用次数: 1

Abstract

The morphological machinery of a language is at the service of syntax, but the service can be poor. A request may result in the wrong item (deponency), or in an item the syntax already has (syncretism), or in an abundance of choices (inflectional classes or morphological allomorphy). Network Morphology regulates the service by recreating the morphosyntactic space as a network of information sharing nodes, where sharing is through inheritance, and inheritance can be overridden to allow for the regular, irregular, and, crucially, the semiregular. The network expresses the system; the way the network can be accessed expresses possible deviations from the systematic. And so Network Morphology captures the semi-systematic nature of morphology. The key data used to illustrate Network Morphology are noun inflections in the West Slavonic language Lower Sorbian, which has three genders, a rich case system and three numbers. These data allow us to observe how Network Morphology handles inflectional allomorphy, syncretism, feature neutralization, and irregularity. Latin deponent verbs are used to illustrate a Network Morphology account of morphological mismatch, where morphosyntactic features used in the syntax are expressed by morphology regularly used for different features. The analysis points to a separation of syntax and morphology in the architecture of the grammar. An account is given of Russian nominal derivation which assumes such a separation, and is based on viewing derivational morphology as lexical relatedness. Areas of the framework receiving special focus include default inheritance, global and local inheritance, default inference, and orthogonal multiple inheritance. The various accounts presented are expressed in the lexical knowledge representation language DATR, due to Roger Evans and Gerald Gazdar.
网络形态
语言的形态机制是为语法服务的,但这种服务可能很差。请求可能会导致错误的项(依赖性),或者在语法已经存在的项(融合)中,或者在大量的选择中(屈折类或形态异形)。网络形态学通过将形态句法空间重新创建为信息共享节点的网络来调节服务,其中通过继承进行共享,并且可以重写继承以允许规则、不规则和(至关重要的)半规则。网络表示系统;网络可以被访问的方式表达了与系统的可能偏差。所以网络形态学抓住了形态学的半系统本质。用于说明网络形态学的关键数据是西斯拉夫语下索布族的名词变化,该语言有三种性别,丰富的格系统和三个数字。这些数据使我们能够观察网络形态学如何处理屈折异型、融合、特征中和和不规则性。拉丁文谓语动词被用来说明网络形态学对形态不匹配的解释,其中句法中使用的形态句法特征是由不同特征经常使用的形态学来表达的。分析指出了语法结构中句法和词法的分离。一个帐户给出了俄语名义衍生假设这样的分离,并基于观察衍生词法作为词汇关系。该框架受到特别关注的领域包括默认继承、全局和局部继承、默认推断和正交多重继承。所提出的各种说法是用词汇知识表示语言DATR表示的,这是由罗杰·埃文斯和杰拉尔德·加兹达尔提出的。
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