易读语篇的方法:个案研究

IF 0.3 0 LANGUAGE & LINGUISTICS
G. Roziņa, I. Karapetjana, Margarita Spirida
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引用次数: 0

摘要

2017年,经济合作与发展组织估计,约25%的人口在阅读理解方面存在困难。世界卫生组织(2021年)指出,世界人口中约有15%面临与功能障碍有关的问题,这些问题限制了充分获取信息的机会,除非对资源进行调整,以满足社会这一阶层的需求。考虑到越来越多的人在语言感知水平上受到损害,本研究试图检验一些可能有助于发展易读语篇的方法。在上述领域进行的研究有限,迄今为止存在的贡献主要集中在产生EtR语篇时考虑的语言和设计特征;然而,其他一些影响真实文本适应EtR需求的核心因素似乎被忽视了。因此,本研究旨在考察可用于将文本改编为EtR语言的话语语用学方法。本研究是一项针对EtR文本开发者的定性案例研究,旨在回答研究问题:应该考虑哪种话语语用学方法来产生易于阅读的话语?最后,本文提出了研究结果的意义,并反思了使用话语语用学方法研究英语翻译语篇和减少认知负荷的价值。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Approaches to Easy-To-Read Discourses: a case study
In 2017, the organisation for Economic Cooperation and Development estimated that around 25 per cent of the population experiences difficulties in reading comprehension. The World Health Organisation (2021) has indicated that around 15 per cent of the world population faces functional impairment-related problems, which limit sufficient access to information unless the resources are adapted for meeting the needs of this layer of society. Considering the increasing numbers of the population who suffer from impairments at the language perception level, the present study has attempted to examine selected approaches that might serve for developing easy-to-read (EtR) discourses. Limited research has been conducted in the above-mentioned field, and the contributions that exist so far have focused on the linguistic and design features considered when producing EtR discourses; however, other central components that govern the adaptation of authentic texts for EtR needs seem to be neglected. Therefore, the present study aims to examine selected discourse-pragmatic approaches that can be applied for adapting texts to an EtR language. The present research is a qualitative case study targeted at EtR text developers and seeks to answer the research question: which discourse-pragmatic approaches should be considered to produce easy-to-read discourses? In conclusion, the paper offers the implications of the findings and reflects on the value of using discourse-pragmatic approaches to EtR discourse and cognitive load reduction.
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