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SEARCHING TERMINOLOGY ON THE WEB: A PROCESS-BASED STUDY

A. V. Achkasov

First published: 2017https://doi.org/10.5593/sgemsocial2017/32/S14.122View metrics

Abstract

The study is focused on the process of searching bilingual terminology on the Web in the translation process. The experimental data were gathered using computer monitoring (keylogging) and post-translation interviewing. A group of translators was given a short text containing educational terminology with multiple equivalents in the target language. The task was to translate the text with a focus on terminology equivalence and consistency. The computer monitoring data include keyboard activity, a list of Web resources consulted, screenshots, and video recordings of the screen. Logging data were presented as step-by-step sequences of actions in the course of searching for particular equivalents. During the post-translation interviewing, the testees gave comments on taking particular steps in terminology searching, periods of zero activity, and decision making. The results show that in searching for terminology translators perform several key types of activities: searching for potential equivalents, searching for definitions or explanatory contexts (both source and target terminology), verifying potential equivalents, and searching particular collocations with target terminology. A particular sequence rarely includes all types of activities and may represent an iterative process of performing similar activities. The quality of translation does not relate to the number of activities; however, there is a certain correlation between the quality and types of activities performed.

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Publication details

Title
SEARCHING TERMINOLOGY ON THE WEB: A PROCESS-BASED STUDY
Authors
A. V. Achkasov
Proceedings
4th International Multidisciplinary Scientific Conference on Social Sciences and Arts SGEM 2017
Publisher
STEF92 Technology
Year
2017
Pages
937-944
SWS Citekey
Achkasov201714937944
ISSN
2367-5659
ISBN
978-619-7408-19-5
Language
en
Publication type
Proceedings Paper
Keywords
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