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A corpus-driven exploration of U.S. language planning and language ideology from 2013 to 2018
Journal of Language and Politics ( IF 1.7 ) Pub Date : 2020-06-16 , DOI: 10.1075/jlp.19108.dia
Brett A. Diaz 1 , Marika K. Hall 1
Affiliation  

Abstract Language planning is influenced by ideological stances, and exports those ideologies through the policy making process. Residing beneath policy documents lies a language policy of the texts themselves, policing their structure and linguistic forms by which ideologies are managed. Thus, a careful collection of such documents should offer rich grounds for analysis, to leverage claims of ideology against empirically founded patterns, and offer rigorous comparison across actors, genres, and policy areas. We conducted a corpus-driven exploration of all bills from Congressional sessions 113 to 115 (33,968 documents, 85,612,752 words), and describe the collocational character of U.S. language policy, the semantic preferences of those collocations, and discuss the exposed ideological structure of these bills. By utilizing such a large corpus, this study responds to two issues in corpus-aided language policy analysis: (1) a paucity of very large corpora analyses; (2) further utilizes corpus-driven methods to naively investigate ideologies in status planning.

中文翻译:

2013-2018 年美国语言规划和语言意识形态的语料驱动探索

摘要 语言规划受意识形态立场的影响,并通过政策制定过程输出这些意识形态。存在于政策文件之下的是文本本身的语言政策,对管理意识形态的结构和语言形式进行监管。因此,仔细收集此类文件应提供丰富的分析基础,以利用意识形态主张反对经验建立的模式,并提供跨参与者、流派和政策领域的严格比较。我们对国会第 113 至 115 届会议的所有法案(33,968 份文件,85,612,752 字)进行了语料库驱动的探索,并描述了美国语言政策的搭配特征、这些搭配的语义偏好,并讨论了这些法案暴露的意识形态结构. 利用如此庞大的语料库,本研究回应了语料库辅助语言政策分析中的两个问题:(1) 缺乏非常大的语料库分析;(2) 进一步利用语料库驱动的方法来天真地调查状态规划中的意识形态。
更新日期:2020-06-16
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