论英语空间副词新语义类型学的创建

I.A. Zhilina, M. Pankratova
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引用次数: 0

摘要

问题的陈述。本文描述了创建英语空间副词新类型的机制。对现有的英语副词分类方法进行了全面的研究,分析了它们的特点。研究表明,传统的副词分类和类型学没有考虑到词的一词多义现象。本文提出了一种新的分类方法。这种方法考虑了语言单位的多义性。通过使用语言学研究的比较参数方法,这种类型学的创建成为可能。结果。英语空间副词除具有空间意义外,还具有暂时义、定量义和定性义。使用比较参数法和一些形式化的参数、指标和尺度,可以识别被调查副词在语义主位中的空间、时间、数量和质量的表征程度,并在此基础上区分出18种英语副词的语义类型。结论。研究表明,利用比较参数法建立考虑语言单位多义性的副词语义类型学是可行的。这种方法在词汇语义研究中的有效性表明,不仅可以研究副词,还可以研究其他词类。此外,比较参数方法还可用于创建其他新的语义分类。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
ABOUT THE CREATION OF A NEW SEMANTIC TYPOLOGIES OF ENGLISH SPATIAL ADVERBS
Statement of the problem. The article describes the mechanism for creating a new typology of English spatial adverbs. Existing approaches to the classification of English adverbs have been thoroughly examined, their peculiarities have been analyzed. The study proves the fact that the traditional classifications and typologies of adverbs do not take into account the phenomenon of the polysemy of words. In this paper a new classification approach is proposed. This approach takes into account the polysemantics of linguistic units. The creation of such a typology becomes possible through the use of the comparative-parametric method of linguistic research. Results. It is established that apart from spatial meanings English spatial adverbs also develop temporary, quantitative and qualitative semes. The use of the comparative-parametric method and some formalized parameters, indices and scales allowed to identify the degree of space, time, quantity and quality semes representation in the semanthemes of the adverbs under investigation and on this basis to distinguish eighteen semantic types of English adverbs. Conclusion. The study showed the possibility of using the comparative-parametric method to develop such a semantic typology of adverbs that takes into account the polysemy of linguistic units. The effectiveness of the application of this method for studying the semantics of words, suggests the possibility of studying not only adverbs, but also other parts of speech. Moreover, the comparative-parametric method can be used for creation of other new semantic classifications.
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