Genres, Registers, Text Types, Domains and Styles: Clarifying the Concepts and Navigating a Path through the BNC Jungle

IF 3.5 2区 文学 Q1 EDUCATION & EDUCATIONAL RESEARCH Language Learning & Technology Pub Date : 2001-09-01 DOI:10.1163/9789004334236_021
D. Y. Lee
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引用次数: 482

Abstract

In this paper, an attempt is first made to clarify and tease apart the somewhat confusing terms genre, register, text type, domain, sublanguage, and style. The use of these terms by various linguists and literary theorists working under different traditions or orientations will be examined and a possible way of synthesising their insights will be proposed and illustrated with reference to the disparate categories used to classify texts in various existing computer corpora. With this terminological problem resolved, a personal project which involved giving each of the 4,124 British National Corpus (BNC, version 1) files a descriptive "genre" label will then be described. The result of this work, a spreadsheet/database (the "BNC Index") containing genre labels and other types of information about the BNC texts will then be described and its usefulness shown. It is envisaged that this resource will allow linguists, language teachers, and other users to easily navigate through or scan the huge BNC jungle more easily, to quickly ascertain what is there (and how much) and to make informed selections from the mass of texts available. It should also greatly facilitate genre-based research (e.g., EAP, ESP, discourse analysis, lexicogrammatical, and collocational studies) and focus everyday classroom concordancing activities by making it easy for people to restrict their searches to highly specified sub-sets of the BNC using PC-based concordancers such as WordSmith, MonoConc, or the Web-based BNCWeb.
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体裁、语域、文本类型、领域和风格:澄清概念并在BNC丛林中导航
本文首先对文体、语域、语篇类型、领域、子语言和文体等令人困惑的术语进行了梳理。在不同的传统或方向下工作的不同语言学家和文学理论家对这些术语的使用将被检查,并将提出一种综合他们的见解的可能方法,并参考用于对各种现有计算机语料库中的文本进行分类的不同类别进行说明。解决了这个术语问题后,我将开始一个个人项目,为4124个英国国家语料库(BNC,版本1)文件中的每一个文件提供一个描述性的“流派”标签。这项工作的结果是一个电子表格/数据库(“BNC索引”),其中包含类型标签和关于BNC文本的其他类型的信息,然后将被描述并显示其实用性。据设想,该资源将允许语言学家、语言教师和其他用户更容易地浏览或扫描庞大的BNC丛林,快速确定那里有什么(以及多少),并从大量可用文本中做出明智的选择。它还将极大地促进基于体裁的研究(例如,EAP、ESP、语篇分析、词典语法和搭配研究),并使人们能够轻松地将搜索限制在BNC的高度指定的子集上,从而关注日常课堂上的一致活动,使用基于pc的一致识别器(如WordSmith、MonoConc或基于web的BNCWeb)。
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
自引率
2.60%
发文量
1
审稿时长
53 weeks
期刊介绍: Language Learning & Technology (LLT) is a fully-refereed, open journal which has been published exclusively online since July 1997. Published triannually (February, June, and October), the journal seeks to disseminate research to foreign and second language educators on issues related to technology and language education. The focus of LLT is not technology per se, but rather issues related to language learning and language teaching, and how they are affected or enhanced by the use of digital technologies. LLT has an editorial board of scholars in the fields of second language acquisition and computer-assisted language learning. Language Learning & Technology is currently sponsored and funded by the National Foreign Language Resource Center (NFLRC) and the Center for Language & Technology (CLT) at University of Hawai''i at Mānoa, and the Center for Open Educational Resources and Language Learning (COERLL) at the University of Texas at Austin. In its early beginnings, the journal started as a project sponsored by the NFLRC and the Center for Language Education and Research (CLEAR) at Michigan State University and co-sponsored by Apprentissage des Langues et Systèmes d''Information et de Communication (ALSIC), the Australian Technology Enhanced Language Learning Consortium (ATELL), the Center for Applied Linguistics (CAL), the Computer Assisted Language Instruction Consortium (CALICO), the European Association for Computer Assisted Language Learning (EUROCALL), the International Association for Language Learning Technology (IALLT), and the University of Minnesota Center for Advanced Research on Language Acquisition (CARLA).
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