By Andrea C. Schalley
This publication offers a special method in the direction of the learn of verbal that means. It develops a frame-work for shooting the semantics of verbs that's according to the Unified Modeling Language (UML), the lingua franca for the layout and modeling of object-oriented platforms in laptop technological know-how. the recent graphical framework combines formal precision with conceptual flexibility and permits the illustration of very advanced info of verbal that means, thereby delivering an answer for various semantic difficulties akin to polysemy and context-dependency. in addition to the framework's improvement, the booklet encompasses a cognitive interpretation of vital modeling parts, a dialogue of normal matters in reference to and well-elaborated purposes of the framework. because the framework is graphical in nature, the e-book includes many annotated figures, and the framework's modeling parts are illustrated by way of instance diagrams. not just students operating within the box of linguistics, particularly insemantics, will locate this ebook illuminating as a result of its new graphical technique, but in addition researchers of cognitive technological know-how, computational linguistics and desktop technology ordinarily would certainly enjoy it.
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Additional resources for Cognitive Modeling and Verbal Semantics: A Representational Framework Based On UML
Generative Semantics being an offset of the abstract syntax as presented in Chomsky (1965), its originators, Lakoff, McCawley, Ross and others, started in the late 1960's to deny the existence of a purely syntactic deep structure.
Approaches to lexical semantics Several approaches have been developed to capture the meaning of lexical items. Some of them will be introduced briefly in this section, and conclusions for the design of the UER will be drawn. Lexical semantics of verbs 13 Feature notation for example, as applied by Di Meola (1994) within the framework of cognitive linguistics or applied and criticized in Krohn (1975), aims at characterizing the overall meaning of a lexical item with the help of a set of (in most cases binary) semantic features.
Although these four categories might display an exhaustive classification of verbs (a statement which is nevertheless questioned, cf. Engelberg 2000:37), the criterion of temporal extension is applied in an inconsistent way, as we could see in 26 Survey of research positions the previous passage. 5. , where we will develop an eventity classification based on UER-structures. 3. Structural relations We will turn to structural relations within the lexicon in this section. (For a comprehensive overview of the systematic aspects of word meaning and hence of structural relations within the lexicon, cf.
Cognitive Modeling and Verbal Semantics: A Representational Framework Based On UML by Andrea C. Schalley