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Semantics

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PARADIGMATIC RELATIONS II 147<br />

analysis, and later on in lesson 5.<br />

There is one important difference between the above mentioned<br />

theories and NSM. In this model the meaning of a word does not depend<br />

on the meaning of other related words. It consists of a configuration of<br />

semantic primitives for each word. The specification of lexical relatednes<br />

within the NSM is based on definitional analysis. Each word is defined<br />

in terms of its most basic components and at the same time the word is<br />

compared with the meanings of other intuitively related words. Wierzbicka<br />

claims that non-arbitrary semantic fields can be established by comparing<br />

configurations of semantic primitives in the definitions of words. The<br />

definitions through which she postulates semantic field relatedness take<br />

the form of a shared prototypical scenario describing a highly abstract<br />

cognitive structure. When analyzing English speech verbs she observes<br />

that verbs that share semantic components also share certain syntactic<br />

frames or combination of frames. She also says that syntactic differences,<br />

which at first seem idiosyncratic, are often a sign of very real semantic<br />

differences and thus confirm the reliability of syntactic clues in semantic<br />

analysis.<br />

As was previously said, Mel’čuk Meaning Text Theory is another<br />

possibility of organizing the lexicon. Its main interest lies in the<br />

consideration of the text as a starting point for analysis.<br />

Mel’čuk’s theory MTT (Meaning Text linguistic Theory), has been<br />

formalized in his MTM (Meaning Text Model) which is a system of rules<br />

that simulates the linguistic behavior of humans. This model tries to<br />

perform the transition from what is loosely called meanings (any<br />

information or content that the speaker wants to transmit in his / her<br />

language) and texts (any physical manifestation of speech) and vice<br />

versa.<br />

The central component of MTM, where the biggest part of data is<br />

stored, is a formalized semantically oriented lexicon called Explanatory<br />

Combinatorial Dictionary (= ECD) which is paraphrase based.<br />

6.2. GRAMMATICAL MEANING<br />

Cruse explains how, traditionally, syntactic categories are defined<br />

semantically by saying, for example, that nouns are words referring to<br />

persons, places, or things, verbs are ‘doing words’, adjectives ‘describing<br />

words’, etc. However, since these definitions leaked, other approaches<br />

were attempted. Cruse suggests prototypical classification criteria where<br />

grammatical categories are like natural categories such as BIRD or FRUIT,

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