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2018 | 25/1 | 171-179

Article title

Programy wspomagające tłumaczenie „w chmurze” – co i jak w trawie piszczy?

Authors

Content

Title variants

EN
What’s new in the world of cloud-based CAT tools?

Languages of publication

PL

Abstracts

EN
Computer-assisted translation (CAT) tools has not been immune to the radical change brought about by cloud computing. There are a number of feature-rich cloud-based CAT tools as well as the web versions of market-leading desktop-based solutions on the market today. However, some translators and translation companies are still reluctant to embrace the new technology. This paper is an overview of some of the most popular cloud-based CAT tools, such as Matecat, ABBYY Smartcat, Memsource and Lilt (an interactive translation environment which uses hybrid machine-human translation). The paper explores the possibility of those alternatives for desktop-based tools to be compatible with translator’s workflow and describes their functions and features, such as terminology management, translation memory, concordance searches, resource lookup as well as machine translation integration.

Year

Issue

Pages

171-179

Physical description

Dates

published
2018

Contributors

  • Uniwersytet Warszawski

References

  • Federico, M. et al. (2014), The Matecat tool, (w:) Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: System Demonstrations, Dublin.
  • Green S. et al. (2014), Predictive Translation Memory: A Mixed-Initiative System for Human Language Translation. (URL https://idl.cs.washington.edu/files/2014- PTM-UIST.pdf). [Pobrano 05.09.2017].
  • Matecat User manual and installation guide. (URL https://www.matecat.com/wpcontent/uploads/2014/10/MateCatUserManualandInstallationGuide_v3.pdf, s. 4). [Pobrano 22.08.2017].
  • Norma PN-EN ISO 17100:2015-06.
  • URL https://wiki.memsource.com/wiki/Memsource_Editor_User_Manual. [Pobrano 22.08.2017].
  • URL https://smartcat.ai/Help/; https://lilt.com/kb/. [Pobrano 23.08.2017].

Document Type

Publication order reference

Identifiers

ISSN
2544-9354

YADDA identifier

bwmeta1.element.desklight-dfbf366c-6666-4c9a-9e56-446c246c311f
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