Corpus linguistics and metaoperational grammar to the teaching of grammatical cohesion
Abstract: Producing cohesive writing can be a difficult task if foreign language learners are not presented with the necessary analytic tools to fathom out the functioning of language. Studies show that cohesive writing is particularly difficult for non-native English speakers (E. Hinkel, 2001, 2002...
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| Format: | Article |
| Language: | deu |
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CRAC, INSAAC
2022-12-01
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| Series: | Akofena |
| Online Access: | https://www.revue-akofena.com/wp-content/uploads/2022/12/008-Kouakou-Yannick-KONDRO_95-108.pdf |
| Summary: | Abstract: Producing cohesive writing can be a difficult task if foreign language learners are not presented with the necessary analytic tools to fathom out the functioning of language. Studies show that cohesive writing is particularly difficult for non-native English speakers (E. Hinkel, 2001, 2002; J.M. Swales & C.B. Feak, 2004). And it is also proved that textual cohesion devices do not receive enough attention in traditional language teaching (G. Cook,1989 p.127). That is undoubtedly the reason why there is a shortage of teaching materials on cohesion (M. Johnson, 2017). Consequently, this analysis aims to propose an approach that can be helpful to English learners in their writing. It also ambitions to familiarize students and teachers with online corpora in addressing some linguistics facts. It draws on metaoperational grammar theory’s findings (H. Adamczewski, 1982, 1991; J-P. Gabilan, 2011; Y.K.J-F. Kpli, 2014). Utterances are extracted from online sources, like Corpus of Contemporary American English (COCA) and British National Corpus (BNC) in order to take advantage of this revolutionary approach to data collection (Corpus Linguistics), not yet widely applied in Côte d’Ivoire. It results from the analyses that metaoperational grammar theory and corpus linguistics can help students to produce cohesive writing in order to succeed in conveying their own ideas.
Keywords: grammatical cohesion, metaoperational, grammar, corpus linguistics
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| ISSN: | 2706-6312 2708-0633 |