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&i&Corpus&/i& Linguistics Representations on Age Groups in Light of Google Books

机译:& i& 语料库& / i& 根据Google书籍的年龄组的语言学陈述

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The goal of the research lays on identifying social representations around words associated with human beings in Google Books BYU Corpus, in a period of 208 years, from 1800 to 2008. In this paper, the main data findings of a corpus-based investigation are focused on the adjectives preceding such words as man, woman, adolescent, boy, girl, child, and teenager in database . By verifying patterns of association between each of these words and immediate collocates, it is possible to infer how these concepts are represented over time. First, queries were conducted in the Corpus. Second, adjectives were selected. Third, these were classified into semantic categories. Fourth, collocates were classified through sentiment analysis. Finally, major representations were inferred based on semantic categories and sentiment analysis scores. The word “children” showed different representations: medical, consisting of collocates such as asthmatic, disabled, religious and evaluative. We have concluded that over time, representations of age, health and race increased, while representations of innocence decreased. It can be applied that the collocates that appeared in the latter half-century compared to first half-century give an indication of the current representations. Finally, for children, these include hyperactive and disadvantaged, indicating a shift toward a “problematic” representation of children.
机译:该研究的目标奠定了在谷歌书籍中与人类相关的单词周围的社会表征,从19100年到2008年。本文重点集中论文的调查的主要数据调查在与人类,女性,青少年,男孩,女孩,孩子和少年等单词之前的形容词上。通过验证这些单词之间的每个词和立即搭配之间的关联模式,可以推断这些概念如何随时间表示。首先,在语料库中进行查询。第二,选择形容词。第三,这些被分类为语义类别。第四,通过情感分析分类搭配。最后,基于语义类别和情感分析得分推断出主要代表性。 “儿童”这个词显示出不同的陈述:医疗,由哮喘,残疾,宗教和评价如哮喘组成。我们已经得出结论,随着时间的推移,年龄,健康和种族的代表性增加,而无罪的陈述减少。它可以应用于后半个世纪的搭配与上半世纪相比,表明当前的陈述。最后,对于孩子来说,这些包括过度活跃和弱势群体,表明朝向儿童的“有问题”表示转变。

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