基于语料库的变异语言学

Hülya Ünsal Şakiroğlu
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引用次数: 0

摘要

本文旨在确定哪些古词/词组在语言使用者和土耳其国家语料库(TNC)中仍然为人所知和使用,以此表明土耳其语在 1900 年至 2020 年期间的词汇变化情况。本研究将基于语料库的变异社会语言学方法与历史社会语言学视角相结合,探索土耳其语词汇变化的非同步变异。本研究采用基于计算机的随机化算法,从 1900 年创作的《埃吕尔》小说原版中挑选出被认为过时的词语/词汇,并对其进行随机子采样。利用过时的词语/词汇和上下文进行了调查。结果表明,人口统计学变量并不影响词汇知识,而且所有参与者对古语词的陌生程度是一致的。在 TNC 和调查中测试的单词/搭配的总体比较显示了相似的结果,因为最常用和最不常用的单词在 TNC 中也是出现最多和最少的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Corpus-based variationist linguistics
This paper aims to identify what archaic words/word groups were still known and used both among language speakers and Turkish National Corpus (TNC) as an indication of lexical change in Turkish from 1900 to 2020. The present study explores the diachronic variation of lexical change in Turkish by combining the corpus-based variationist sociolinguistic approach with the perspective of historical sociolinguistics. The words/collocations thought to be outdated from the original version of “Eylül” novel, written in 1900, were selected and randomly subsampled using a computer-based randomization algorithm. A survey was formed using the outdated words/collocations along with the context. The results indicated that demographical variables did not affect word knowledge and that the archaic words were unfamiliar to all participants uniformly. The overall comparison of words/collocations tested in TNC and survey indicated similar results as the most and the least frequently used words were also the most and least abundantly present in TNC.
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