Las metafunciones de Halliday en traducción

Babel ◽  
2020 ◽  
Vol 66 (3) ◽  
pp. 484-504
Author(s):  
Eirini Chatzikoumi

Abstract This article addresses the contribution of Systemic Functional Linguistics (SFL) to translation and, specifically, the use of Halliday’s metafunctions in translation studies research. The aim is to provide the state of the art of the main findings and proposals of these studies regarding the role of metafunctions in translation and translation teaching, thus evaluating their relevance and applicability in this field. In order to achieve this, six studies were reviewed, three of them dedicated to metafunctional shifts and three to the use of metafunctions in translation teaching and evaluation. This critical bibliographic review allowed for the corroboration of the contribution of SFL to the field of translation, and for the deduction of relevant aspects for future research and teaching proposals. More precisely, the relevance of the incorporation of semantic metafunctions in translator training and evaluation is confirmed, and the possibility of a distinction between obligatory and optional metafunctional translation shifts is suggested.

Author(s):  
Kaan Varnali

Research focusing on consumer behavior in the mobile context is rapidly accumulating. However, the role of personality traits in explaining and predicting users’ perceptions regarding mobile services and behavior within the mobile context is conspicuously under-researched. If consumers are considered as dispositional entities, this lack of researcher interest on the role of personality traits on the value creation processes of mobile consumers should be scrutinized. Striving to provide guidance as to why and how to incorporate personality-based variables within prospective research models attempting to explain and predict consumer behavior in the mobile context, this research critically assesses the-state-of-the-art and presents a conceptual discussion regarding related future research avenues.


2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Noura Metawa ◽  
Mohamed Elhoseny ◽  
Maha Mutawea

PurposeThis paper aims to provide insights regarding the state of the art of digital transformation for small- and medium-sized enterprises (SMEs) in Egypt and propose avenues for future research.Design/methodology/approachA proposed framework for the digitization process in SMEs is developed by providing three layers of working steps toward full automation. The paper also provides an extensive analysis of the main requirements for improving the existing traditional information systems' performance in these enterprises. The challenges of digital transformation and the future research direction are discussed as well.FindingsThis paper provided an overview of the importance of digital transformation in real-life applications. The role of the information systems in building a digitalized information processing environment is covered as well. Also, a framework for the shifting process from the traditional approaches to the digitalized systems is proposed. Besides, the paper overviewed the future research directions related to digital transformation in SMEs, especially in Egypt. These research directions are related to technical challenges during the digital transformation process, such as cybersecurity, big data analytics and multimodality data.Originality/valueDespite the significant governmental and institutions' steps toward full automation and digital transformation, the traditional information systems, infrastructures, and unequipped employees make the digitizing process on-the-fly an open challenge. A technology shift that is not supported by a similar cultural change threatens digital business initiatives and increases the risk of their failure. This paper aims to provide insights regarding the state of the art of digital transformation for SMEs in Egypt and propose avenues for future research.


2020 ◽  
Vol 21 (8) ◽  
pp. 2749
Author(s):  
Michał Wiciński ◽  
Anna Domanowska ◽  
Eryk Wódkiewicz ◽  
Bartosz Malinowski

The lack of effective Alzheimer’s disease treatment is becoming a challenge for researchers and prompts numerous attempts to search for and develop better therapeutic solutions. Compounds that affect several routes of the neurodegeneration cascade leading to the development of disease are of particular interest. An example of such substances is resveratrol and its synthetic and natural derivatives, which have gained popularity in recent years and show promise as a possible new therapeutic option in the approach to Alzheimer’s disease treatment. In this article, the state of the art evidence on the role of resveratrol (RSV) in neuroprotection is presented; research results are summarized and the importance of resveratrol and its derivatives in the treatment of Alzheimer’s disease are underlined. It also focuses on various modifications of the resveratrol molecule that should be taken into account in the design of future research on drugs against Alzheimer’s disease.


Author(s):  
Kaan Varnali

Research focusing on consumer behavior in the mobile context is rapidly accumulating. However, the role of personality traits in explaining and predicting users’ perceptions regarding mobile services and behavior within the mobile context is conspicuously under-researched. If consumers are considered as dispositional entities, this lack of researcher interest on the role of personality traits on the value creation processes of mobile consumers should be scrutinized. Striving to provide guidance as to why and how to incorporate personality-based variables within prospective research models attempting to explain and predict consumer behavior in the mobile context, this research critically assesses the-state-of-the-art and presents a conceptual discussion regarding related future research avenues.


2019 ◽  
Vol 11 (4) ◽  
pp. 27
Author(s):  
Bandar Alhumaidi A. Almutairi

This study aims to shed some light on the role of evaluative language in the process of persuasion in the newly emerging genre of ‘online debate’. Drawing on the appraisal framework within Systemic Functional Linguistics, this study investigates the distributional patterns of appraisal choices and co-choices in a corpus of widely viewed online debate texts (ODTs). Based on the voting results of each ODT, textual parts of the corpus were segmented into two main categories: ‘more persuasive’ and ‘less persuasive’ debaters. Supported by two specially designed software tools, the ODT corpus was manually annotated for appraisal features, and frequencies of choices and co-choices were extracted automatically. In line with previous research, the findings of this study revealed significant appraisal patterns associated with the ODT debaters, in addition to unique co-patterns characteristic of the ‘more persuasive’ and ‘less persuasive’ debaters. These findings are discussed in terms of potential implications, limitations and directions for future research.


Author(s):  
IOANNIS E. SARIDAKIS

<p class="Abstract"><span lang="EN-GB">This paper outlines the main state-of-the-art linguistic resources that can be developed and used in the research and in the didactics of Specialised Translation. In addition, it points to the still largely unexplored potential from the combination of Corpus Linguistics, Descriptive Translation Studies and Systemic Functional Linguistics into a single scientific and research agenda, to the benefit of both translation practitioners and trainee translators.<strong></strong></span></p><p class="Abstract"> </p>


2021 ◽  
Vol 54 (7) ◽  
pp. 1-39
Author(s):  
Ankur Lohachab ◽  
Saurabh Garg ◽  
Byeong Kang ◽  
Muhammad Bilal Amin ◽  
Junmin Lee ◽  
...  

Unprecedented attention towards blockchain technology is serving as a game-changer in fostering the development of blockchain-enabled distinctive frameworks. However, fragmentation unleashed by its underlying concepts hinders different stakeholders from effectively utilizing blockchain-supported services, resulting in the obstruction of its wide-scale adoption. To explore synergies among the isolated frameworks requires comprehensively studying inter-blockchain communication approaches. These approaches broadly come under the umbrella of Blockchain Interoperability (BI) notion, as it can facilitate a novel paradigm of an integrated blockchain ecosystem that connects state-of-the-art disparate blockchains. Currently, there is a lack of studies that comprehensively review BI, which works as a stumbling block in its development. Therefore, this article aims to articulate potential of BI by reviewing it from diverse perspectives. Beginning with a glance of blockchain architecture fundamentals, this article discusses its associated platforms, taxonomy, and consensus mechanisms. Subsequently, it argues about BI’s requirement by exemplifying its potential opportunities and application areas. Concerning BI, an architecture seems to be a missing link. Hence, this article introduces a layered architecture for the effective development of protocols and methods for interoperable blockchains. Furthermore, this article proposes an in-depth BI research taxonomy and provides an insight into the state-of-the-art projects. Finally, it determines possible open challenges and future research in the domain.


Sign in / Sign up

Export Citation Format

Share Document