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作 者:刘春杰[1] Liu Chunjie
机构地区:[1]广州大学外国语学院,广东省广州市510006
出 处:《中国俄语教学》2021年第3期1-12,共12页Russian in China
基 金:广东省哲学社会科学“十三五”规划2018年度学科共建项目“基于大数据文本分析的国家意愿实证研究:以中俄对金砖国家机制的诉求为个案”(GD18XWW11)的阶段性成果。
摘 要:语篇词汇重复具有突出语篇主题和主体意愿的功能,大数据时代的文本分析技术使统计词汇重复和厘清主体意愿变得快速便捷。本文以俄罗斯总统普京和议员阶层对金砖国家的意愿为案例,抓取相关文本,建立小型俄语词汇替换词典,进行词汇替换和词频统计,解析俄罗斯高层对金砖国家各领域和行业的意愿分布。实证结果表明,量化分析可以修正传统描述分析的预设观点,使之更具科学性。文本分析技术的应用为语言学跨学科融合发展提供了新机遇,也为词汇和语篇教学提供了新思路。The vocabulary repetition in the text has the function of highlighting the text theme and subject’s intention. Technology of text analysis in the big data era makes it quick to count the repetition of words and clarify the subject’s intention. Taking Russian President Putin and the parliamentarians’ intentions to the BRICS as a case, a small Russian word replacement dictionary was built, word replacement and word frequency statistics were performed to analyze the distribution of Russian senior leaders’ intentions to the BRICS in various fields and industries. The empirical results show that quantitative analysis can correct the presupposition of traditional descriptive analysis and make it more scientific. Text analysis technology provides new opportunities for the development of interdisciplinary integration of linguistics, and new ideas for vocabulary and text teaching.
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