Metadiscourse Devices in English Scientific Research Articles Written by Native and Non- Native Speakers of English

2019 ◽  
Vol 11 (1) ◽  
pp. 46
Author(s):  
Hameed Yahya A. Al-Zubeiry

The present study examined the frequently used metadiscourse devices in English scientific research articles written by native (English researchers) and non-native (Arab English researcher) and sought to determine whether differences exist in the use of these devices between Arab researchers of scientific research articles and Native English researchers of scientific research articles. Data was collected from forty research scientific articles written and published in international journals and Arab journals; analysis was done in accordance with Hayland’s model. The analysis revealed that frequently used metadiscourse devices in scientific articles written by native English writers and Arab English writers include evidentials code glosses, frame markers, and endophoric markers; and hedges; boosters; and attitude markers. The results also showed that native English writers of scientific articles embrace more metadiscourse resources than Arab English researchers of scientific academic articles. This confirms that native English writers of scientific articles are more proficient at English than Arab English researchers given the differences in the frequency of metadiscourse resources used. This finding has implication to Arab researchers of scientific research articles.

2020 ◽  
Vol 5 (2) ◽  
pp. 154-165
Author(s):  
Amin Haqiqi ◽  
◽  
Husaeri Putra ◽  

This study analyzes corruption and economic growth. The method of analysis uses literature studies. This literature study was carried out by searching scientific research articles about corruption through Google Scholar and journals about corruption. After the identification of several articles, the results show different results about the effect of corruption on economic growth. From each journal shows Corruption has a negative effect on economic growth in Indonesia and those that have a positive effect. This shows several factors that underlie the influence of corruption on economic growth, namely due to cultural differences, policies, economic freedom and the rules of each region. The diversity of each region in Indonesia makes a different level of influence of corruption so that if a region has a high level of economic freedom and rules and bureaucracy that are not difficult, corruption has a positive effect on economic growth. In general, the effect of corruption on economic growth is negative, where the cleaner the region or region is from corruption, the more it will encourage the growth of the region.


2016 ◽  
Vol 17 (1) ◽  
pp. 45-63 ◽  
Author(s):  
Renata Povolná

Abstract The role of English as a global lingua franca of academia has become indisputable in the on-going process of internationalization of all scholarship, even though the majority of writers and readers of academic texts are non-native speakers of English. Thus it is questionable whether there is any justification for imposing on international academic communication written in English the style conventions typical of the dominant Anglophone discourse community. Recommendations usually comprise qualities such as clarity, economy, linearity and precision in communication (cf. Bennett, 2015), which can be achieved, among other means, by certain overt guiding signals including conjuncts (Quirk et al., 1985). Accordingly, the aim of this paper is to reveal cross-cultural variation in the use of these important text-organizing means as it is believed that conjuncts can enhance the interaction and negotiation of meaning between the author and prospective readers of academic texts. The paper explores which semantic relations holding between parts of a text tend to be expressed overtly by conjuncts and which semantic classes, such as appositive, contrastive/concessive, listing and resultive conjuncts, contribute most to the interactive and dialogic nature of written academic discourse. The data are taken from research articles (RAs) selected from two journals, one representing academic discourse written by native speakers of English (Applied Linguistics) and the other representing academic texts written in English by Czech and Slovak scholars (Discourse and Interaction).


Author(s):  
John Blake

Error-free scientific research articles are more likely to be accepted for publication than those permeated with errors. This chapter identifies, describes, and explains how to avoid 22 common language errors. Scientists need to master the genre of scientific writing to conform to the generic expectations of the community of practice. Based on a systematic analysis of the pedagogic literature, five categories of errors were identified in scientific research articles namely accuracy, brevity, clarity, objectivity, and formality. To gain a more in-depth understanding of the errors, a corpus investigation of scientific articles was conducted. A corpus of 200 draft research articles submitted for internal review at a research institute with university status was compiled, annotated, and analyzed. This investigation showed empirically the types of errors within these categories that may impinge on publication success. In total, 22 specific types of language errors were identified. These errors are explained, and ways for overcoming each of them are described.


Author(s):  
Isabel Verdaguer ◽  
Judy Noguchi

AbstractThis paper examines the collocational patterns of frequent verbs in medical research articles, and proposes a way to help non-native speakers of English learn word combinations frequently used in specific professional genres. We explore the correlations in the syntactico-semantic behavior and the collocational patterns of related verbs, in order to systematically teach recurrent word combinations.To this end, we present a corpus-based analysis of the collocational patterning of the verbs which belong to the same semantic frame inFrameNet, the frame EVIDENCE. These verbs were identified in 397 medical research articles from a pre-release version of the PERC (Professional English Research Consortium) corpus (3,155,118 tokens and 115,960 word types). The verbs examined, in approximate order of degree of increasing certainty, aresuggest, argue, show, reveal, prove, demonstrate, substantiate, verify, confirmandcorroborate. The results reveal that verbs that can be grouped into semantic and syntactic coherent sets also share combinatorial properties. We conclude that, rather than studying isolated verbs, making learners aware of these patterns of verb groups can greatly contribute toward efficient learning of the language of professional texts.


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