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Linguistic corpuses as a digital means of comparative analyses of size adjectives (on the basis of English and Tatar)

机译:语言语料作为大小形容词的比较分析的数字手段(在英语和塔塔尔的基础上)

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The article is devoted to demonstrate how digital means are used in linguistic comparative analyses. The research is proved to be actual because size adjectives help to understand naive language pictures of the world. The purpose of the article is to reveal differences in functioning size adjectives in English and Tatar. The methods of digital quantative analysis and a descriptive method were used. The sources for the collection and systematization of linguistic material were British National Corpus (https://www.english-corpora.org/bnc/) and Tatar National Corpus (http://web-corpora.net/TatarCorpus/search/). The research is carried out in line with those linguistic works where the idea of using statistic data is developed. The most frequent size adjective in Tatar is the adjective zur, the most frequent size adjective in English is the adjective little. The size adjectives thick / yuan have the same frequency in both languages. In Tatar the size adjectives ozyn and kechkene have the same frequency. In English size adjectives long-high-wide are distributed with different frequencies. When analyzing quantitative data using digital means of linguistic corpuses, it is necessary: first, to take into account the combining potential; secondly, to take into account synonyms.
机译:本文致力于展示如何在语言比较分析中使用数字手段。证明该研究是实际的,因为尺寸形容词有助于了解世界的天真语言。本文的目的是揭示英语和塔塔尔中功能规模形容词的差异。使用了数字量化分析和描述方法的方法。关于语言材料收集和系统化的来源是英国国家语料库(https://www.english-corpora.org/bnc/)和tatar国家语料库(http://web-corpora.net/tatarcorpus/search/) 。该研究符合这些语言作品,其中开发了使用统计数据的想法。塔塔尔中最常见的规模形容词是形容词zur,英语中最常见的尺寸形容词是形容词很少。厚度形容词厚/元在两种语言中具有相同的频率。在塔塔尔中,形容词ozyn和kechkene具有相同的频率。在英语尺寸中,通过不同的频率分布长高。在使用数字语言语料的数字方式分析定量数据时,需要:首先,考虑到组合潜力;其次,要考虑代名词。

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