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A Good Computer-assisted Translation Tool Wordfast for PPT Translation

Author

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  • Yuan Jie

    (Student of Translation Studies, School of Languages and Cultures, The University of Sheffield, UK)

Abstract

As China develops very fast, it becomes an attractive market for foreign enterprises. A large number of documents such as technical instructions, product manuals, company websites need to be translated. High-equality translations are needed. Computer-aided translation is on the rise since it can improve translation quality and efficiency. Wordfast Pro as the second most widely used CAT tools after SDL Trados gets little attention for translators in China. After comparing some features of three computer-assisted translation tool: wordfast, SDL Trados and Memsource, it is found that Wordfast is easier to handle for PPT translations from English to Chinese. This paper will illustrate the translation procedures, problems and some recommendations using Wordfast. Through analysis of empirical studies of some instruction translation of PPT files, the author has proved the advantages of wordfast in dealing with PPT file in terms of interface, terminology management, translation omissions and network dependency. After reviewing the translation procedures and problems, it will facilitate those translators who intend to start using Wordfast and know more about it and speed up the translators’ work. Based on the current user experience, some recommendations for the software developers are also put forward which is of practical significance to improve the quality of CAT software. The suggestions for communication between clients and translators can improve the efficiency and make both sides feel satisfied.

Suggested Citation

  • Yuan Jie, 2021. "A Good Computer-assisted Translation Tool Wordfast for PPT Translation," International Journal of Linguistics, Literature and Translation, Al-Kindi Center for Research and Development, vol. 4(2), pages 01-08, February.
  • Handle: RePEc:alk:ijllt0:v:4:y:2021:i:2:id:1309
    DOI: 10.32996/ijllt.2021.4.2.1
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