MetaLangCORP: Presenting The First Corpus Of Media Metalanguage In Slovene, Croatian And Serbian, And Its Cross-Discipline Applicability

IF 0.1 0 LANGUAGE & LINGUISTICS
Fluminensia Pub Date : 2021-07-05 DOI:10.31820/f.33.1.7
Ksenija Bogetić
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引用次数: 2

Abstract

Growing interest in meta-language, in linguistics and other disciplines, has highlighted a gap in metalanguage corpora and analytical resources, which remain among the scarcest in corpus-linguistic developments so far. This paper is aimed at making a step towards filling this gap, both by presenting our own metalanguage corpus resource and using it in a short sample analysis to discuss the applications of such resources in linguistics and social sciences. Specifically, the paper presents for the first time MetaLangCORP, a multi-element corpus of contemporary media metalanguage in languages of three post-Yugoslav states, linguistically annotated and made available open-access at the CLARIN repository of linguistic resources. To put the corpus in context, the meaning and relevance of metalanguage research is outlined, the existing efforts at compiling corpora of metalanguage are reviewed, and a sample preliminary analysis of MetaLangCORP keywords is presented to open a broader discussion on the potential applicability of metalanguage corpora. More broadly, it is hoped that making this kind of data available will prompt more nuanced analyses of metalanguage, as well as more corpus-building efforts along similar lines in Slavic and other linguistic scholarship.
首个斯洛文尼亚语、克罗地亚语和塞尔维亚语媒体元语言语料库及其跨学科应用
语言学和其他学科对元语言的兴趣日益增长,凸显了元语言语料库和分析资源的差距,这仍然是迄今为止语料库语言学发展中最稀缺的资源之一。本文旨在通过展示我们自己的元语言语料库资源并在简短的样本分析中使用它来讨论这些资源在语言学和社会科学中的应用,从而朝着填补这一空白迈出一步。具体而言,本文首次介绍了MetaLangCORP,这是一个包含三个后南斯拉夫国家语言的当代媒体元语言的多元素语料库,经过语言注释,并可在CLARIN语言资源库中开放获取。本文概述了元语言研究的意义和相关性,回顾了目前在元语言语料库编制方面所做的努力,并通过对MetaLangCORP关键词的样本初步分析,对元语言语料库的潜在适用性展开了更广泛的讨论。更广泛地说,人们希望这类数据的提供将促进对元语言的更细致的分析,以及在斯拉夫语和其他语言学研究中建立更多类似的语料库。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Fluminensia
Fluminensia LANGUAGE & LINGUISTICS-
CiteScore
0.30
自引率
0.00%
发文量
1
审稿时长
16 weeks
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