Sentence context and resolving lexical ambiguity for special groups of words on the base of corpus data

被引：1

作者：

Nevzorova, Olga ^{[1
,2
]}

Galieva, Alfiya ^{[1
,2
]}

Nevzorov, Vladimir ^{[3
]}

机构：

[1] Tatarstan Acad Sci, Res Inst Appl Semiot, Bauman Str 20, Kazan 420111, Russia

[2] Kazan Volga Reg Fed Univ, Kazan 420008, Russia

[3] Kazan Natl Res Tech Univ, Kazan 420111, Russia

来源：

CURRENT WORK IN CORPUS LINGUISTICS: WORKING WITH TRADITIONALLY- CONCEIVED CORPORA AND BEYOND (CILC2015) | 2015年 / 198卷

关键词：

word meaning; direct word meaning; indirect word meaning; sentence context; ambiguous word;

D O I：

10.1016/j.sbspro.2015.07.455

中图分类号：

H0 [语言学];

学科分类号：

030303 ; 0501 ; 050102 ;

摘要：

This article presents the results of resolving lexical ambiguity for special groups of words that are used to denote natural phenomena. We applied the corpus data from the National Corpus of the Russian Language and the National Corpus of the Tatar Language. Also, we developed the structures of sentence context and defined important features of the method of resolving lexical ambiguity. Certain typical elements (lexical, syntactic ones) associated with the meaning, were identified in the structure of sentence contexts. For contextual analysis, we developed program tools for extracting context constituents (noun phrases and verb phrases). Finally, we described the results of our first experiments on establishing the meaning of ambiguous words (natural phenomena). (C) 2015 The Authors. Published by Elsevier Ltd.

引用

页码：359 / 366

页数：8

共 15 条

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