In:Handbook of Terminology: Volume 1
Edited by Hendrik J. Kockaert and Frieda Steurs
[Handbook of Terminology 1] 2015
► pp. 276–287
Machine translation, translation memory and terminology management
Published online: 13 March 2015
https://doi.org/10.1075/hot.1.mac1
https://doi.org/10.1075/hot.1.mac1
Article outline
- 1.Introduction
- 2.Translation recycling technology
- 3.Terminology and recycling technologies
- 3.1Rule-based machine translation
- 3.2Statistical machine translation
- 3.3Example-based machine translation
- 3.4Translation memory
- 4.Workflow
- 4.1Project setup
- 4.2Translation
- 4.3Quality assurance and delivery
- 4.4Process involving machine translation
- 5.Using terminology with recycling technologies
- 5.1Please describe the process you would recommend for using terminology with your tool
- 5.2Which of the following has the user access to from your tool
- 5.3Describe any functionality within your tool that enables the user to know where the term originated and whether this term should be used
- 5.4If there are different translations for a term in the translation memory and in the terminology data base, how is this conflict highlighted and how is it resolved
- 5.5Can the translation memory be audited to check that the terminology is translated correctly, please describe how this happens
- 5.6You are welcome to provide further comments on how terminology is used with this tool
- 6.Conclusion
References
References (7)
EN 15038. 2006. Translation Services - Service Requirements. Brussels: European Committee for Standardization (CEN).
Hutchins, W. John and Harold L. Somers. 1992. An Introduction to Machine Translation. London: Academic Press. [URL].
ISO 17100. year. Translation Services – Requirements for translation services. Geneva: International Standards Organization.
Koehn, Philipp. 2010. Statistical Machine Translation. Cambridge: Cambridge University Press. TSB
Nirenburg, Sergei. 1989. “Knowledge-Based Machine Translation.” Machine Translation 4:5-24. Accessed June 20, 2012. [URL]. TSB
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