LINGUISTIC CORPORA TECHNOLOGY AS A DIDACTIC TOOL IN TRAINING FUTURE TRANSLATORS

Author:

Леміш Наталія ЄвгенівнаORCID,Алексєєва Ольга МиколаївнаORCID,Денисова Світлана ПавлівнаORCID,Матвєєва Світлана АнатоліївнаORCID,Зернецька Алла АнатоліївнаORCID

Abstract

The anthropocosmic vector of modern Pedagogy and Linguistics requires development of such tools for future translators that enable as quick as possible processing of huge amounts of information with production of automatically determined frequencies, on the one hand. On the other hand, it demands minimization of the subjective influence of an individual researcher on the received results, giving a chance for detecting and analysing linguistic phenomena unnoticed earlier. Linguistic corpora are a state-of-the-art technology that can solve the outlined problem perfectly, for it opens a broad variety of practical and theoretical research options, and at the same time it is a didactic tool fulfilling purely didactic, cognitive, informative, formative, and testing / checking functions. Therefore, the use of linguistic corpora technology can be considered from two perspectives – learning to use corpora to translate and learning to translate using corpora. Corpora technology employment can enhance both objectivity and reliability of the results researchers obtain when processing language data, too. The application of corpus approach by translators-to-be gives an opportunity to study any language units in different speech genres in different types of discourse, as well as in various contexts in the corpus, without being hindered by the specificity of the studied linguistic unit. Translation students can search for discrete lexical / grammatical units, based on concordances, showing their functioning in different styles and areas of use. Moreover, parallel corpora provide ready solutions for the choice of translation models in certain conditions. The purpose of this article, stipulated by the relevance of the set problem, as well as the lack of ready parallel corpora in Ukraine, covers development of special methodological procedures and exercises for future translators aimed at their mastering of corpus technology as a didactic tool. The paper also describes several technological solutions (Multiconcord, BNC, parallel corpus), which provide the possibilities of such a corpus approach in practice for teaching-learning translators-to-be. In conclusions it is stressed that mastering such linguistic corpora technology at the university is very important for future translators, with a corpus being a useful and convenient didactic tool in their professional area. The prospects for further research can be seen in the development of a set of exercises consolidating future translators’ abilities to successfully process different corpora data.

Publisher

Institute of Information Technologies and Learning Tools of NAES of Ukraine

Subject

Cell Biology,Developmental Biology,Embryology,Anatomy

Reference30 articles.

1. N. Ye. Lemish, (2018). English-Ukrainian parallel corpora of texts for the students of specialty “Translation”. In Topical Issues of Romance and Germanic Philology and Applied Linguistics. Issue 1(15).

2. pp.207–210 (in Ukrainian).

3. A.M. Bogush, T.M. Korolova, O.V Popova,. (2019). Teaching Machine Translation to the Students Majoring in the Humanities. In Information Technologies and Learning Tools. Vol. 71. № 3. pp.122–136 (in English).

4. S. M. Amelina, R. O. Tarasenko, (2016). Orientation of professional translators’ training to the requirements of international standards in realization of translation projects. In Pedagogy of creative personality at higher and secondary schools. Issue 51 (104).pp. 60–66 (in Ukrainian).

5. I. O. Simkova, (2017). Professional standards in interpreting sphere and educational requirements to future interpreters training. In Languages teaching at higher educational establishments at present. Interdisciplinary links. Vol. 31. pp.75–84 (in English).

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3