A systematic analysis of a two-word concgram in Nepalese policy documents: A corpus-driven approach

Madhu Neupane Bastola
{"title":"A systematic analysis of a two-word concgram in Nepalese policy documents: A corpus-driven approach","authors":"Madhu Neupane Bastola","doi":"10.3126/nelta.v24i1-2.27679","DOIUrl":null,"url":null,"abstract":"In a general sense, a corpus refers to a collection of texts. More specifically, a corpus is a collection of naturally occurring machine-readab-le discourse put together for linguistic research (Adolphs, 2006; McEnery & Hardie, 2012) and the area of linguistics that studies a corpus is corpus linguistics. Corpus linguistics has been informed by empiricism as its philosophical base for the study of language (Adolphs, 2006; Aijmer, 2009; McEnery & Hardie, 2012; Sinclair & Carter, 2004; Stubbs, 2005, 2007) for making sense of naturally occurring language data (Tognini-Bonelli, 2001). It has been a fertile field of research because it has a broader application in different areas such as language teaching, professional communication, and academic writing, to name but three. Based on the nature and purpose of research, corpus research has been divided into three types: corpus-based, corpus-driven, and data-driven (Adolphs, 2006; McEnery & Hardie, 2012; Rayson, 2008; Tognini-Bonelli, 2001) Abstract","PeriodicalId":416929,"journal":{"name":"Journal of Nelta","volume":"12 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2019-11-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Nelta","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3126/nelta.v24i1-2.27679","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1

Abstract

In a general sense, a corpus refers to a collection of texts. More specifically, a corpus is a collection of naturally occurring machine-readab-le discourse put together for linguistic research (Adolphs, 2006; McEnery & Hardie, 2012) and the area of linguistics that studies a corpus is corpus linguistics. Corpus linguistics has been informed by empiricism as its philosophical base for the study of language (Adolphs, 2006; Aijmer, 2009; McEnery & Hardie, 2012; Sinclair & Carter, 2004; Stubbs, 2005, 2007) for making sense of naturally occurring language data (Tognini-Bonelli, 2001). It has been a fertile field of research because it has a broader application in different areas such as language teaching, professional communication, and academic writing, to name but three. Based on the nature and purpose of research, corpus research has been divided into three types: corpus-based, corpus-driven, and data-driven (Adolphs, 2006; McEnery & Hardie, 2012; Rayson, 2008; Tognini-Bonelli, 2001) Abstract
查看原文
分享 分享
微信好友 朋友圈 QQ好友 复制链接
本刊更多论文
尼泊尔政策文件中双字连词的系统分析:语料库驱动的方法
在一般意义上,语料库是指文本的集合。更具体地说,语料库是用于语言学研究的自然发生的机器可读话语的集合(Adolphs, 2006;McEnery & Hardie, 2012),研究语料库的语言学领域是语料库语言学。语料库语言学受到经验主义的影响,将其作为语言研究的哲学基础(Adolphs, 2006;Aijmer, 2009;McEnery & Hardie, 2012;Sinclair & Carter, 2004;Stubbs, 2005, 2007)理解自然发生的语言数据(Tognini-Bonelli, 2001)。它一直是一个丰富的研究领域,因为它在语言教学、专业交流和学术写作等不同领域有更广泛的应用,仅举三个例子。根据研究的性质和目的,语料库研究可分为基于语料库的、语料库驱动的和数据驱动的三种类型(Adolphs, 2006;McEnery & Hardie, 2012;Rayson, 2008;Tognini-Bonelli, 2001)摘要
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 去求助
来源期刊
自引率
0.00%
发文量
0
期刊最新文献
Mentoring Teachers during Covid-19: A Collaborative Organizational Approach Coping Strategies of University EFL Teachers for Online Instruction during COVID-19 in Nepal Practical issues for conducting qualitative research ELT in the Age of Artificial Intelligence (AI): Working with Machines Fundamentals of Academic Writing: A Literature Review
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
现在去查看 取消
×
提示
确定
0
微信
客服QQ
Book学术公众号 扫码关注我们
反馈
×
意见反馈
请填写您的意见或建议
请填写您的手机或邮箱
已复制链接
已复制链接
快去分享给好友吧!
我知道了
×
扫码分享
扫码分享
Book学术官方微信
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术
文献互助 智能选刊 最新文献 互助须知 联系我们:info@booksci.cn
Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。
Copyright © 2023 Book学术 All rights reserved.
ghs 京公网安备 11010802042870号 京ICP备2023020795号-1