Language corpora: the case for Ghanaian English
In the last two decades, the compilation of corpora and the analysis of linguistic phenomena via corpus data have become a fascinating linguistic practice around the world and by this, corpus linguistics is now firmly established as a credible approach for the study of language. Linguists and othe...
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Pusat Pengajian Bahasa dan Linguistik, FSSK, UKM
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ukm-77402016-12-14T06:45:02Z http://journalarticle.ukm.my/7740/ Language corpora: the case for Ghanaian English Nartey, Mark Ngula, Richmond Sadick In the last two decades, the compilation of corpora and the analysis of linguistic phenomena via corpus data have become a fascinating linguistic practice around the world and by this, corpus linguistics is now firmly established as a credible approach for the study of language. Linguists and other researchers of varied persuasions are appreciating more and more the interesting dimensions corpora are introducing to language studies. Yet, not much corpus-based work goes on in Ghana. In this paper, we suggest that a vital first step towards the development of Ghanaian English (GhE) lies in the initiation of large-scale electronic corpus projects. The paper argues that corpora can go a long way to enhance the linguistic descriptions of GhE, making the features of the variety more visible and providing a good opportunity for its codification. The results of building corpora for the study of GhE will not only highlight its rich features, but also help Ghanaians and policy makers to determine its proper status in the country. Pusat Pengajian Bahasa dan Linguistik, FSSK, UKM 2014 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/7740/1/6091-18847-1-PB.pdf Nartey, Mark and Ngula, Richmond Sadick (2014) Language corpora: the case for Ghanaian English. 3L; Language,Linguistics and Literature,The Southeast Asian Journal of English Language Studies., 20 (3). pp. 79-92. ISSN 0128-5157 http://ejournals.ukm.my/3l/index |
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Digital Repository |
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Local University |
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Universiti Kebangasaan Malaysia |
building |
UKM Institutional Repository |
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Online Access |
language |
English |
description |
In the last two decades, the compilation of corpora and the analysis of linguistic phenomena via corpus data
have become a fascinating linguistic practice around the world and by this, corpus linguistics is now firmly
established as a credible approach for the study of language. Linguists and other researchers of varied
persuasions are appreciating more and more the interesting dimensions corpora are introducing to language
studies. Yet, not much corpus-based work goes on in Ghana. In this paper, we suggest that a vital first step
towards the development of Ghanaian English (GhE) lies in the initiation of large-scale electronic corpus
projects. The paper argues that corpora can go a long way to enhance the linguistic descriptions of GhE,
making the features of the variety more visible and providing a good opportunity for its codification. The results
of building corpora for the study of GhE will not only highlight its rich features, but also help Ghanaians and
policy makers to determine its proper status in the country. |
format |
Article |
author |
Nartey, Mark Ngula, Richmond Sadick |
spellingShingle |
Nartey, Mark Ngula, Richmond Sadick Language corpora: the case for Ghanaian English |
author_facet |
Nartey, Mark Ngula, Richmond Sadick |
author_sort |
Nartey, Mark |
title |
Language corpora: the case for Ghanaian English |
title_short |
Language corpora: the case for Ghanaian English |
title_full |
Language corpora: the case for Ghanaian English |
title_fullStr |
Language corpora: the case for Ghanaian English |
title_full_unstemmed |
Language corpora: the case for Ghanaian English |
title_sort |
language corpora: the case for ghanaian english |
publisher |
Pusat Pengajian Bahasa dan Linguistik, FSSK, UKM |
publishDate |
2014 |
url |
http://journalarticle.ukm.my/7740/ http://journalarticle.ukm.my/7740/ http://journalarticle.ukm.my/7740/1/6091-18847-1-PB.pdf |
first_indexed |
2023-09-18T19:50:28Z |
last_indexed |
2023-09-18T19:50:28Z |
_version_ |
1777406185235808256 |