A Collocation Analysis of ‘energy’ in Brown Family Corpus

I here argue that Corpus Linguistic (CL) investigations can show evidence that renewable energy has become increasingly important in the last 20 years as shown in the Brown Family corpus, a linguistic database of both British and American English whose diachronic data span from 1930s to 2000s. I use...

Full description

Bibliographic Details
Main Author: Prihantoro
Format: Article
Language:English
Published: EDP Sciences 2022-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/26/e3sconf_icenis2022_03012.pdf
_version_ 1811189113817137152
author Prihantoro
author_facet Prihantoro
author_sort Prihantoro
collection DOAJ
description I here argue that Corpus Linguistic (CL) investigations can show evidence that renewable energy has become increasingly important in the last 20 years as shown in the Brown Family corpus, a linguistic database of both British and American English whose diachronic data span from 1930s to 2000s. I use collocation analysis, a well-known CL technique, to discover collocates (accompanying words) that significantly associate with energy. The significance is statistically calculated using Log Likelihood (LL). No content word is found up to 1930s data. Some content words related to the categorization of energy are found in 1960s data. In 1990s data renewable is within top-3. In 2006 data, renewable is found to rank first, showing a very strong significance with energy.
first_indexed 2024-04-11T14:30:29Z
format Article
id doaj.art-02225ff9ce7149519033e2b3de6a9d6c
institution Directory Open Access Journal
issn 2267-1242
language English
last_indexed 2024-04-11T14:30:29Z
publishDate 2022-01-01
publisher EDP Sciences
record_format Article
series E3S Web of Conferences
spelling doaj.art-02225ff9ce7149519033e2b3de6a9d6c2022-12-22T04:18:39ZengEDP SciencesE3S Web of Conferences2267-12422022-01-013590301210.1051/e3sconf/202235903012e3sconf_icenis2022_03012A Collocation Analysis of ‘energy’ in Brown Family CorpusPrihantoro0Universitas DiponegoroI here argue that Corpus Linguistic (CL) investigations can show evidence that renewable energy has become increasingly important in the last 20 years as shown in the Brown Family corpus, a linguistic database of both British and American English whose diachronic data span from 1930s to 2000s. I use collocation analysis, a well-known CL technique, to discover collocates (accompanying words) that significantly associate with energy. The significance is statistically calculated using Log Likelihood (LL). No content word is found up to 1930s data. Some content words related to the categorization of energy are found in 1960s data. In 1990s data renewable is within top-3. In 2006 data, renewable is found to rank first, showing a very strong significance with energy.https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/26/e3sconf_icenis2022_03012.pdf
spellingShingle Prihantoro
A Collocation Analysis of ‘energy’ in Brown Family Corpus
E3S Web of Conferences
title A Collocation Analysis of ‘energy’ in Brown Family Corpus
title_full A Collocation Analysis of ‘energy’ in Brown Family Corpus
title_fullStr A Collocation Analysis of ‘energy’ in Brown Family Corpus
title_full_unstemmed A Collocation Analysis of ‘energy’ in Brown Family Corpus
title_short A Collocation Analysis of ‘energy’ in Brown Family Corpus
title_sort collocation analysis of energy in brown family corpus
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2022/26/e3sconf_icenis2022_03012.pdf
work_keys_str_mv AT prihantoro acollocationanalysisofenergyinbrownfamilycorpus
AT prihantoro collocationanalysisofenergyinbrownfamilycorpus